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{{Short description|Mathematical models of strategic interactions}}{{about|the mathematical study of optimizing agents|the mathematical study of sequential games|Combinatorial game theory|the study of playing games for entertainment|Game studies|the YouTube series|MatPat|other uses}}{{Use American English|date=July 2018}}{{Economics sidebar}}{{Strategy}}Game theory is the study of mathematical models of strategic interactions among rational agents.BOOK, Myerson, Roger B., Roger B. Myerson, 1991, Game Theory: Analysis of Conflict, Harvard University Press, 9780674341166, It has applications in many fields of social science, used extensively in economics as well as in logic, systems science and computer science.BOOK, Shapley, Lloyd S., Shubik, Martin, 1971-01-01, Game Theory in Economics, Chapter 1, Introduction, The Use of Models,www.rand.org/pubs/reports/R0904z1.html, 23 April 2023, 23 April 2023,web.archive.org/web/20230423130243/https://www.rand.org/pubs/reports/R0904z1.html, live, Initially game theory addressed two-person zero-sum games, in which a participant’s gains or losses are exactly balanced by the losses and gains of the other participant. In the 1950’s it was extended to the study of non zero-sum games and was eventually game applied to a wide range of behavioral relations, and is now an umbrella term for the science of rational decision making in humans, animals, as well as computers.Modern game theory began with the idea of mixed-strategy equilibria in two-person zero-sum game and its proof by John von Neumann. Von Neumann’s original proof used the Brouwer fixed-point theorem on continuous mappings into compact convex sets, which became a standard method in game theory and mathematical economics. His paper was followed by Theory of Games and Economic Behavior (1944), co-written with Oskar Morgenstern, which considered cooperative games of several players.BOOK,press.princeton.edu/books/paperback/9780691130613/theory-of-games-and-economic-behavior, Theory of Games and Economic Behavior, 2007-04-08, 978-0-691-13061-3, Neumann, John von, Morgenstern, Oskar, Princeton University Press, 23 April 2023, 28 March 2023,web.archive.org/web/20230328004503/https://press.princeton.edu/books/paperback/9780691130613/theory-of-games-and-economic-behavior, live, The second edition provided an axiomatic theory of expected utility, which allowed mathematical statisticians and economists to treat decision-making under uncertainty.JOURNAL, Nisan, 2020, Book report: Theory of Games and Economic Behavior (von Neumann & Morgenstern),www.lesswrong.com/posts/qRKyZGcoio9JhdmvX/book-report-theory-of-games-and-economic-behavior-von, lesswrong.com, Game theory was developed extensively in the 1950s, and was explicitly applied to evolution in the 1970s, although similar developments go back at least as far as the 1930s. Game theory has been widely recognized as an important tool in many fields. John Maynard Smith was awarded the Crafoord Prize for his application of evolutionary game theory in 1999, and fifteen game theorists have won the Nobel Prize in economics as of 2020, including most recently Paul Milgrom and Robert B. Wilson.{{Toclimit|3}}

History

Game-theoretic thought

Game-theoretic thinking dates back at least to Sun Tzu.JOURNAL, Khan, Faisal Shah, Solmeyer, Neal, Balu, Radhakrishnan, Humble, Travis, November 2018, Quantum games: a review of the history, current state, and interpretation,arxiv.org/abs/1803.07919, Quantum Information Processing, 17, 11, 309, 10.1007/s11128-018-2082-8, 1570-0755, 1803.07919, In The Art of War, he wrote{{Blockquote|text=Knowing the other and knowing oneself, In one hundred battles no danger,Not knowing the other and knowing oneself, One victory for one loss,Not knowing the other and not knowing oneself, In every battle certain defeat}}

Mathematical origins

Discussions on the mathematics of games began long before the rise of modern mathematical game theory. Cardano’s work Liber de ludo aleae (Book on Games of Chance), which was written around 1564 but published posthumously in 1663, sketches some basic ideas on games of chance. In the 1650s, Pascal and Huygens developed the concept of expectation on reasoning about the structure of games of chance. Pascal argued for equal division when chances are equal while Huygens extended the argument by considering strategies for a player who can make any bet with any opponent so long as its terms are equal.Shafer, G. (2018, December). Pascal’s and Huygens’s game-theoretic foundations for probability. Sarton Lecture, School of Architecture and Engineering, University of Ghent. weblink Huygens later published his gambling calculus as De ratiociniis in ludo aleæ (On Reasoning in Games of Chance) in 1657.In 1713, a letter attributed to Charles Waldegrave, an active Jacobite and uncle to British diplomat James Waldegrave, analyzed a game called “le her”.{{citation |url=http://www.jehps.net/Decembre2007/Bellhouse.pdf |archive-url=https://web.archive.org/web/20080820134028www.jehps.net/Decembre2007/Bellhouse.pdf |archive-date=2008-08-20 |url-status=live |title=The Problem of Waldegrave |author=Bellhouse, David R. |journal=Journal Électronique d’Histoire des Probabilités et de la Statistique |trans-work=Electronic Journal of Probability History and Statistics |year=2007 |volume=3 |issue=2}}JOURNAL, Bellhouse, David R., Le Her and Other Problems in Probability Discussed by Bernoulli, Montmort and Waldegrave, Statistical Science, 30, 26–39, 2015, Institute of Mathematical Statistics, 1, 1504.01950, 10.1214/14-STS469, 2015arXiv150401950B, 59066805, Waldegrave provided a minimax mixed strategy solution to a two-person version of the card game, and the problem is now known as Waldegrave problem. In 1838, Antoine Augustin Cournot considered a duopoly and presented a solution that is the Nash equilibrium of the game in his (Researches into the Mathematical Principles of the Theory of Wealth).In 1913, Ernst Zermelo published (On an Application of Set Theory to the Theory of the Game of Chess), which proved that the optimal chess strategy is strictly determined. This paved the way for more general theorems.CONFERENCE, Zermelo, Ernst, Ernst Zermelo, 1913, Ãœber eine Anwendung der Mengenlehre auf die Theorie des Schachspiels, On an Application of Set Theory to the Theory of the Game of Chess,socio.ethz.ch/content/dam/ethz/special-interest/gess/chair-of-sociology-dam/documents/articles/Zermelo_Uber_eine_Anwendung_der_Mengenlehre_auf_die_Theorie_des_Schachspiels.pdf, Proceedings of the Fifth International Congress of Mathematicians (1912), de, Cambridge, Cambridge University Press, 501–504,web.archive.org/web/20200731231930/https://socio.ethz.ch/content/dam/ethz/special-interest/gess/chair-of-sociology-dam/documents/articles/Zermelo_Uber_eine_Anwendung_der_Mengenlehre_auf_die_Theorie_des_Schachspiels.pdf, 31 July 2020, 29 August 2019, E. W., Hobson, A. E. H., Love, dead, In 1938, the Danish mathematical economist Frederik Zeuthen proved that the mathematical model had a winning strategy by using Brouwer’s fixed point theorem.BOOK, Kim, Sungwook, Game theory applications in network design, 3, IGI Global, 2014,books.google.com/books?id=phOXBQAAQBAJ&pg=PA3, 978-1-4666-6051-9, In his 1938 book and earlier notes, Émile Borel proved a minimax theorem for two-person zero-sum matrix games only when the pay-off matrix is symmetric and provided a solution to a non-trivial infinite game (known in English as Blotto game). Borel conjectured the non-existence of mixed-strategy equilibria in finite two-person zero-sum games, a conjecture that was proved false by von Neumann.

Birth and early developments

File:JohnvonNeumann-LosAlamos.gif|thumb|upright|John von NeumannJohn von NeumannGame theory emerged as a unique field when John von Neumann published the paper On the Theory of Games of Strategy in 1928.JOURNAL, John, von Neumann, 122961988, John von Neumann, 1928, Zur Theorie der Gesellschaftsspiele, Mathematische Annalen, Mathematical Annals, 100, 1, 295–320, 10.1007/BF01448847, On the Theory of Games of Strategy, de, BOOK, John, von Neumann, John von Neumann, On the Theory of Games of Strategy, A. W., Tucker, R. D., Luce, 1959, Bargmann, Sonya, Contributions to the Theory of Games, 4, 13–42, 0-691-07937-4,books.google.com/books?id=9lSVFzsTGWsC&pg=PA13, Princeton, New Jersey, Princeton University Press, Von Neumann’s original proof used Brouwer’s fixed-point theorem on continuous mappings into compact convex sets, which became a standard method in game theory and mathematical economics. Von Neumann’s work in game theory culminated in his 1944 book Theory of Games and Economic Behavior, co-authored with Oskar Morgenstern.BOOK, Philip, Mirowski, Philip Mirowski, What Were von Neumann and Morgenstern Trying to Accomplish?, E. Roy, Weintraub, Toward a History of Game Theory, Durham, Duke University Press, 1992, 978-0-8223-1253-6, 113–147,books.google.com/books?id=9CHY2Gozh1MC&pg=PA113, The second edition of this book provided an axiomatic theory of utility, which reincarnated Daniel Bernoulli’s old theory of utility (of money) as an independent discipline. This foundational work contains the method for finding mutually consistent solutions for two-person zero-sum games. Subsequent work focused primarily on cooperative game theory, which analyzes optimal strategies for groups of individuals, presuming that they can enforce agreements between them about proper strategies.{{citation |last=Leonard |first=Robert |title=Von Neumann, Morgenstern, and the Creation of Game Theory |location=New York |publisher=Cambridge University Press |year=2010 |isbn=978-0-521-56266-9 |doi=10.1017/CBO9780511778278}}File:John f nash 20061102 3.jpg|thumb|upright|John Nash ]]In 1950, the first mathematical discussion of the prisoner’s dilemma appeared, and an experiment was undertaken by notable mathematicians Merrill M. Flood and Melvin Dresher, as part of the RAND Corporation’s investigations into game theory. RAND pursued the studies because of possible applications to global nuclear strategy.WEB,plato.stanford.edu/entries/prisoner-dilemma/, Prisoner’s Dilemma, Stanford University, 4 September 1997, 3 January 2013, Stanford Encyclopedia of Philosophy, Steven, Kuhn, Steven Kuhn, Edward N., Zalta, 18 January 2012,plato.stanford.edu/entries/prisoner-dilemma/," title="web.archive.org/web/20120118191720plato.stanford.edu/entries/prisoner-dilemma/,">web.archive.org/web/20120118191720plato.stanford.edu/entries/prisoner-dilemma/, live, Around this same time, John Nash developed a criterion for mutual consistency of players’ strategies known as the Nash equilibrium, applicable to a wider variety of games than the criterion proposed by von Neumann and Morgenstern. Nash proved that every finite n-player, non-zero-sum (not just two-player zero-sum) non-cooperative game has what is now known as a Nash equilibrium in mixed strategies.Game theory experienced a flurry of activity in the 1950s, during which the concepts of the core, the extensive form game, fictitious play, repeated games, and the Shapley value were developed. The 1950s also saw the first applications of game theory to philosophy and political science.

Prize-winning achievements

In 1965, Reinhard Selten introduced his solution concept of subgame perfect equilibria, which further refined the Nash equilibrium. Later he would introduce trembling hand perfection as well. In 1994 Nash, Selten and Harsanyi became Economics Nobel Laureates for their contributions to economic game theory.In the 1970s, game theory was extensively applied in biology, largely as a result of the work of John Maynard Smith and his evolutionarily stable strategy. In addition, the concepts of correlated equilibrium, trembling hand perfection and common knowledge{{efn|Although common knowledge was first discussed by the philosopher David Lewis in his dissertation (and later book) Convention in the late 1960s, it was not widely considered by economists until Robert Aumann’s work in the 1970s.}} were introduced and analyzed.In 1994, John Nash was awarded the Nobel Memorial Prize in the Economic Sciences for his contribution to game theory. Nash’s most famous contribution to game theory is the concept of the Nash equilibrium, which is a solution concept for non-cooperative games. A Nash equilibrium is a set of strategies, one for each player, such that no player can improve their payoff by unilaterally changing their strategy.In 2005, game theorists Thomas Schelling and Robert Aumann followed Nash, Selten, and Harsanyi as Nobel Laureates. Schelling worked on dynamic models, early examples of evolutionary game theory. Aumann contributed more to the equilibrium school, introducing equilibrium coarsening and correlated equilibria, and developing an extensive formal analysis of the assumption of common knowledge and of its consequences.In 2007, Leonid Hurwicz, Eric Maskin, and Roger Myerson were awarded the Nobel Prize in Economics “for having laid the foundations of mechanism design theory”. Myerson’s contributions include the notion of proper equilibrium, and an important graduate text: Game Theory, Analysis of Conflict. Hurwicz introduced and formalized the concept of incentive compatibility.In 2012, Alvin E. Roth and Lloyd S. Shapley were awarded the Nobel Prize in Economics “for the theory of stable allocations and the practice of market design”. In 2014, the Nobel went to game theorist Jean Tirole.

Different types of games

{{see also|List of games in game theory}}

Cooperative / non-cooperative

A game is cooperative if the players are able to form binding commitments externally enforced (e.g. through contract law). A game is non-cooperative if players cannot form alliances or if all agreements need to be self-enforcing (e.g. through credible threats).WEB,www.gametheory.net/dictionary/Non-CooperativeGame.html, Non-Cooperative Game, Shor, Mike, GameTheory.net, 2016-09-15, 1 April 2014,www.gametheory.net/Dictionary/Non-CooperativeGame.html," title="web.archive.org/web/20140401211601www.gametheory.net/Dictionary/Non-CooperativeGame.html,">web.archive.org/web/20140401211601www.gametheory.net/Dictionary/Non-CooperativeGame.html, live, Cooperative games are often analyzed through the framework of cooperative game theory, which focuses on predicting which coalitions will form, the joint actions that groups take, and the resulting collective payoffs. It is different from non-cooperative game theory which focuses on predicting individual players’ actions and payoffs by analyzing Nash equilibria.WEB,www.utdallas.edu/~chandra/documents/6311/coopgames.pdf,www.utdallas.edu/~chandra/documents/6311/coopgames.pdf," title="web.archive.org/web/20160418101712www.utdallas.edu/~chandra/documents/6311/coopgames.pdf,">web.archive.org/web/20160418101712www.utdallas.edu/~chandra/documents/6311/coopgames.pdf, 2016-04-18, live, Cooperative Game Theory, Chandrasekaran, Ramaswamy, University of Texas at Dallas, WEB, Brandenburger, Adam, Cooperative Game Theory: Characteristic Functions, Allocations, Marginal Contribution,www.uib.cat/depart/deeweb/pdi/hdeelbm0/arxius_decisions_and_games/cooperative_game_theory-brandenburger.pdf, dead,www.uib.cat/depart/deeweb/pdi/hdeelbm0/arxius_decisions_and_games/cooperative_game_theory-brandenburger.pdf," title="web.archive.org/web/20170829084624www.uib.cat/depart/deeweb/pdi/hdeelbm0/arxius_decisions_and_games/cooperative_game_theory-brandenburger.pdf,">web.archive.org/web/20170829084624www.uib.cat/depart/deeweb/pdi/hdeelbm0/arxius_decisions_and_games/cooperative_game_theory-brandenburger.pdf, 29 August 2017, 14 April 2020, Cooperative game theory provides a high-level approach as it describes only the structure and payoffs of coalitions, whereas non-cooperative game theory also looks at how strategic interaction will affect the distribution of payoffs. As non-cooperative game theory is more general, cooperative games can be analyzed through the approach of non-cooperative game theory (the converse does not hold) provided that sufficient assumptions are made to encompass all the possible strategies available to players due to the possibility of external enforcement of cooperation.

Symmetric / asymmetric

{{Payoff matrix |Name=An asymmetric game |2L=E |2R=F |1U=E |UL=1, 2 |UR=0, 0 |1D=F |DL=0, 0 |DR=1, 2}}A symmetric game is a game where each player earns the same payoff when making the same choice. In other words, the identity of the player does not change the resulting game facing the other player.WEB, Shor, Mike, 2006, Symmetric Game,www.gametheory.net/dictionary/Games/SymmetricGame.html, Game Theory.net, Many of the commonly studied 2×2 games are symmetric. The standard representations of chicken, the prisoner’s dilemma, and the stag hunt are all symmetric games.The most commonly studied asymmetric games are games where there are not identical strategy sets for both players. For instance, the ultimatum game and similarly the dictator game have different strategies for each player. It is possible, however, for a game to have identical strategies for both players, yet be asymmetric. For example, the game pictured in this section’s graphic is asymmetric despite having identical strategy sets for both players.

Zero-sum / non-zero-sum

{{Payoff matrix |Name=A zero-sum game |2L=A |2R=B |1U=A |UL=–1, 1 |UR=3, −3 |1D=B |DL=0, 0 |DR=–2, 2}}Zero-sum games (more generally, constant-sum games) are games in which choices by players can neither increase nor decrease the available resources. In zero-sum games, the total benefit goes to all players in a game, for every combination of strategies, and always adds to zero (more informally, a player benefits only at the equal expense of others).BOOK, Game Theory: Third Edition, Owen, Guillermo, Guillermo Owen, Emerald Group Publishing, 1995, 978-0-12-531151-9, Bingley, 11, Poker exemplifies a zero-sum game (ignoring the possibility of the house’s cut), because one wins exactly the amount one’s opponents lose. Other zero-sum games include matching pennies and most classical board games including Go and chess.Many games studied by game theorists (including the famed prisoner’s dilemma) are non-zero-sum games, because the outcome has net results greater or less than zero. Informally, in non-zero-sum games, a gain by one player does not necessarily correspond with a loss by another.Furthermore, constant-sum games correspond to activities like theft and gambling, but not to the fundamental economic situation in which there are potential gains from trade. It is possible to transform any constant-sum game into a (possibly asymmetric) zero-sum game by adding a dummy player (often called “the board“) whose losses compensate the players’ net winnings.

Simultaneous / sequential

Simultaneous games are games where both players move simultaneously, or instead the later players are unaware of the earlier players’ actions (making them effectively simultaneous). Sequential games (or dynamic games) are games where players do not make decisions simultaneously, and player’s earlier actions affect the outcome and decisions of other players.{{Citation |last=Chang |first=Kuang-Hua |title=Chapter 2 – Decisions in Engineering Design |date=2015-01-01 |url=https://www.sciencedirect.com/science/article/pii/B9780123985125000025 |work=Design Theory and Methods Using CAD/CAE |pages=39–101 |editor-last=Chang |editor-first=Kuang-Hua |access-date=2023-04-08 |place=Boston |publisher=Academic Press |doi=10.1016/b978-0-12-398512-5.00002-5 |isbn=978-0-12-398512-5 |archive-date=8 April 2023 |archive-url=https://web.archive.org/web/20230408015011www.sciencedirect.com/science/article/pii/B9780123985125000025 |url-status=live }} This need not be perfect information about every action of earlier players; it might be very little knowledge. For instance, a player may know that an earlier player did not perform one particular action, while they do not know which of the other available actions the first player actually performed.The difference between simultaneous and sequential games is captured in the different representations discussed above. Often, normal form is used to represent simultaneous games, while extensive form is used to represent sequential ones. The transformation of extensive to normal form is one way, meaning that multiple extensive form games correspond to the same normal form. Consequently, notions of equilibrium for simultaneous games are insufficient for reasoning about sequential games; see subgame perfection.In short, the differences between sequential and simultaneous games are as follows:{| class=“wikitable”! !! Sequential !! Simultaneous

	Decision trees >	Payoff matrix>Payoff matrices

style=line-height:1.3em;padding-right:0.65em		| No

	| No

	style=line-height:1.3em	Extensive-form gameExtensive game}} >	style=line-height:1.3em|Strategy gameStrategic game}}

Perfect information and imperfect information

File:PD with outside option.svg|thumb|upright=1.25|right|A game of imperfect information. The dotted line represents ignorance on the part of player 2, formally called an information set.]]An important subset of sequential games consists of games of perfect information. A game with perfect information means that all players, at every move in the game, know the previous history of the game and the moves previously made by all other players. An imperfect information game is played when the players do not know all moves already made by the opponent such as a simultaneous move game. Examples of perfect-information games include tic-tac-toe, checkers, chess, and Go.WEB,www.math.ucla.edu/~tom/Game_Theory/mat.pdf#page=56,www.math.ucla.edu/~tom/Game_Theory/mat.pdf," title="web.archive.org/web/20040730140255www.math.ucla.edu/~tom/Game_Theory/mat.pdf,">web.archive.org/web/20040730140255www.math.ucla.edu/~tom/Game_Theory/mat.pdf, 2004-07-30, live, Game Theory, Thomas S., Ferguson, Thomas S. Ferguson, 56–57, UCLA Department of Mathematics, BOOK, Jan, Mycielski, Jan Mycielski, Games with Perfect Information, Handbook of Game Theory with Economic Applications, 1, 1992, 41–70, 10.1016/S1574-0005(05)80006-2, 978-0-4448-8098-7, WEB,www.youtube.com/watch?v=PN-I6u-AxMg&t=0m25s,ghostarchive.org/varchive/youtube/20211028/PN-I6u-AxMg, 2021-10-28, Infinite Chess, PBS Infinite Series, 2 March 2017, {{cbignore}} Perfect information defined at 0:25, with academic sources {{ArXiv|1302.4377}} and {{ArXiv|1510.08155}}.Many card games are games of imperfect information, such as poker and bridge.BOOK, Game Theory: Third Edition, Owen, Guillermo, Emerald Group Publishing, 1995, 978-0-12-531151-9, Bingley, 4, Perfect information is often confused with complete information, which is a similar concept pertaining to the common knowledge of each player’s sequence, strategies, and payoffs throughout gameplay.{{Citation |last=Mirman |first=Leonard J. |title=Perfect Information |date=1989 |url=https://doi.org/10.1007/978-1-349-20181-5_22 |work=Game Theory |pages=194–198 |editor-last=Eatwell |editor-first=John |access-date=2023-04-08 |place=London |publisher=Palgrave Macmillan UK |doi=10.1007/978-1-349-20181-5_22 |isbn=978-1-349-20181-5 |editor2-last=Milgate |editor2-first=Murray |editor3-last=Newman |editor3-first=Peter}} Complete information requires that every player know the strategies and payoffs available to the other players but not necessarily the actions taken, whereas perfect information is knowledge of all aspects of the game and players.BOOK, Mirman, Leonard, Perfect Information, Palgrave Macmillan, 1989, 978-1-349-20181-5, London, 194–195, Games of incomplete information can be reduced, however, to games of imperfect information by introducing “moves by nature”.{{sfnp|Shoham|Leyton-Brown|2008|p=60}}

Bayesian game

One of the assumptions of the Nash equilibrium is that every player has correct beliefs about the actions of the other players. However, there are many situations in game theory where participants do not fully understand the characteristics of their opponents. Negotiators may be unaware of their opponent’s valuation of the object of negotiation, companies may be unaware of their opponent’s cost functions, combatants may be unaware of their opponent’s strengths, and jurors may be unaware of their colleague’s interpretation of the evidence at trial. In some cases, participants may know the character of their opponent well, but may not know how well their opponent knows his or her own character.BOOK, Osborne, Martin J., An Introduction to Game Theory, Oxford University Press, 2000, 271–272, Bayesian game means a strategic game with incomplete information. For a strategic game, decision makers are players, and every player has a group of actions. A core part of the imperfect information specification is the set of states. Every state completely describes a collection of characteristics relevant to the player such as their preferences and details about them. There must be a state for every set of features that some player believes may exist.BOOK, Osborne, Martin J, An Introduction to Game Theory, Oxford University Press, 2020, 271–277, (File:An_example_of_diagram.jpg|thumb|Example of a Bayesian game)For example, where Player 1 is unsure whether Player 2 would rather date her or get away from her, while Player 2 understands Player 1’s preferences as before. To be specific, supposing that Player 1 believes that Player 2 wants to date her under a probability of 1/2 and get away from her under a probability of 1/2 (this evaluation comes from Player 1’s experience probably: she faces players who want to date her half of the time in such a case and players who want to avoid her half of the time). Due to the probability involved, the analysis of this situation requires to understand the player’s preference for the draw, even though people are only interested in pure strategic equilibrium.

Combinatorial games

Games in which the difficulty of finding an optimal strategy stems from the multiplicity of possible moves are called combinatorial games. Examples include chess and Go. Games that involve imperfect information may also have a strong combinatorial character, for instance backgammon. There is no unified theory addressing combinatorial elements in games. There are, however, mathematical tools that can solve some particular problems and answer some general questions.Games of perfect information have been studied in combinatorial game theory, which has developed novel representations, e.g. surreal numbers, as well as combinatorial and algebraic (and sometimes non-constructive) proof methods to solve games of certain types, including “loopy” games that may result in infinitely long sequences of moves. These methods address games with higher combinatorial complexity than those usually considered in traditional (or “economic“) game theory.{{citation |last1=Albert |first1=Michael H. |author1-link=Michael H. Albert |last2=Nowakowski |first2=Richard J. |last3=Wolfe |first3=David |isbn=978-1-56881-277-9 |publisher=A K Peters Ltd |title=Lessons in Play: In Introduction to Combinatorial Game Theory |year=2007 |pages=3–4}}BOOK, Beck, József, József Beck, 978-0-521-46100-9, Cambridge University Press, Combinatorial Games: Tic-Tac-Toe Theory, Combinatorial Games: Tic-Tac-Toe Theory, 2008, 1–3, A typical game that has been solved this way is Hex. A related field of study, drawing from computational complexity theory, is game complexity, which is concerned with estimating the computational difficulty of finding optimal strategies.{{citation |first1=Robert A. |last1=Hearn |first2=Erik D. |last2=Demaine |title=Games, Puzzles, and Computation |title-link= Games, Puzzles, and Computation |year=2009 |publisher=A K Peters, Ltd. |isbn=978-1-56881-322-6}}Research in artificial intelligence has addressed both perfect and imperfect information games that have very complex combinatorial structures (like chess, go, or backgammon) for which no provable optimal strategies have been found. The practical solutions involve computational heuristics, like alpha–beta pruning or use of artificial neural networks trained by reinforcement learning, which make games more tractable in computing practice.BOOK, Jörg Bewersdorff, Luck, logic, and white lies: the mathematics of games, 2005, A K Peters, Ltd., 978-1-56881-210-6, ix–xii, 31, Jörg Bewersdorff, BOOK, M. Tim, Jones, Artificial Intelligence: A Systems Approach, 2008, Jones & Bartlett Learning, 978-0-7637-7337-3, 106–118,

Discrete and continuous games

Much of game theory is concerned with finite, discrete games that have a finite number of players, moves, events, outcomes, etc. Many concepts can be extended, however. Continuous games allow players to choose a strategy from a continuous strategy set. For instance, Cournot competition is typically modeled with players’ strategies being any non-negative quantities, including fractional quantities.

Differential games

Differential games such as the continuous pursuit and evasion game are continuous games where the evolution of the players’ state variables is governed by differential equations. The problem of finding an optimal strategy in a differential game is closely related to the optimal control theory. In particular, there are two types of strategies: the open-loop strategies are found using the Pontryagin maximum principle while the closed-loop strategies are found using Bellman’s Dynamic Programming method.A particular case of differential games are the games with a random time horizon.JOURNAL, ru, Petrosjan, L. A., Murzov, N. V., 1966, Game-theoretic problems of mechanics, Litovsk. Mat. Sb., 6, 423–433, In such games, the terminal time is a random variable with a given probability distribution function. Therefore, the players maximize the mathematical expectation of the cost function. It was shown that the modified optimization problem can be reformulated as a discounted differential game over an infinite time interval.

Evolutionary game theory

Evolutionary game theory studies players who adjust their strategies over time according to rules that are not necessarily rational or farsighted.JOURNAL, Newton, Jonathan, 2018, Evolutionary Game Theory: A Renaissance, Games, 9, 2, 31, 10.3390/g9020031, free, 10419/179191, free, In general, the evolution of strategies over time according to such rules is modeled as a Markov chain with a state variable such as the current strategy profile or how the game has been played in the recent past. Such rules may feature imitation, optimization, or survival of the fittest.In biology, such models can represent evolution, in which offspring adopt their parents’ strategies and parents who play more successful strategies (i.e. corresponding to higher payoffs) have a greater number of offspring. In the social sciences, such models typically represent strategic adjustment by players who play a game many times within their lifetime and, consciously or unconsciously, occasionally adjust their strategies.{{sfnp|Webb|2007}}

Stochastic outcomes (and relation to other fields)

Individual decision problems with stochastic outcomes are sometimes considered “one-player games”. They may be modeled using similar tools within the related disciplines of decision theory, operations research, and areas of artificial intelligence, particularly AI planning (with uncertainty) and multi-agent system. Although these fields may have different motivators, the mathematics involved are substantially the same, e.g. using Markov decision processes (MDP).BOOK, Lozovanu, D, Pickl, S, A Game-Theoretical Approach to Markov Decision Processes, Stochastic Positional Games and Multicriteria Control Models, 2015, Springer, Cham, 978-3-319-11832-1, Stochastic outcomes can also be modeled in terms of game theory by adding a randomly acting player who makes “chance moves” (“moves by nature“).{{sfnp|Osborne|Rubinstein|1994}} This player is not typically considered a third player in what is otherwise a two-player game, but merely serves to provide a roll of the dice where required by the game.For some problems, different approaches to modeling stochastic outcomes may lead to different solutions. For example, the difference in approach between MDPs and the minimax solution is that the latter considers the worst-case over a set of adversarial moves, rather than reasoning in expectation about these moves given a fixed probability distribution. The minimax approach may be advantageous where stochastic models of uncertainty are not available, but may also be overestimating extremely unlikely (but costly) events, dramatically swaying the strategy in such scenarios if it is assumed that an adversary can force such an event to happen.THESIS, Hugh Brendan, McMahan, 2006, Robust Planning in Domains with Stochastic Outcomes, Adversaries, and Partial Observability, PhD dissertation, Carnegie Mellon University,www.cs.cmu.edu/~mcmahan/research/mcmahan_thesis.pdf,www.cs.cmu.edu/~mcmahan/research/mcmahan_thesis.pdf," title="web.archive.org/web/20110401124804www.cs.cmu.edu/~mcmahan/research/mcmahan_thesis.pdf,">web.archive.org/web/20110401124804www.cs.cmu.edu/~mcmahan/research/mcmahan_thesis.pdf, 2011-04-01, live, 3–4, (See Black swan theory for more discussion on this kind of modeling issue, particularly as it relates to predicting and limiting losses in investment banking.)General models that include all elements of stochastic outcomes, adversaries, and partial or noisy observability (of moves by other players) have also been studied. The “gold standard” is considered to be partially observable stochastic game (POSG), but few realistic problems are computationally feasible in POSG representation.

Metagames

These are games the play of which is the development of the rules for another game, the target or subject game. Metagames seek to maximize the utility value of the rule set developed. The theory of metagames is related to mechanism design theory.The term metagame analysis is also used to refer to a practical approach developed by Nigel Howard,{{sfnp|Howard|1971}} whereby a situation is framed as a strategic game in which stakeholders try to realize their objectives by means of the options available to them. Subsequent developments have led to the formulation of confrontation analysis.

Mean field game theory

Mean field game theory is the study of strategic decision making in very large populations of small interacting agents. This class of problems was considered in the economics literature by Boyan Jovanovic and Robert W. Rosenthal, in the engineering literature by Peter E. Caines, and by mathematicians Pierre-Louis Lions and Jean-Michel Lasry.

Representation of games

The games studied in game theory are well-defined mathematical objects. To be fully defined, a game must specify the following elements: the players of the game, the information and actions available to each player at each decision point, and the payoffs for each outcome. (Eric Rasmusen refers to these four “essential elements” by the acronym “PAPI”.) A game theorist typically uses these elements, along with a solution concept of their choosing, to deduce a set of equilibrium strategies for each player such that, when these strategies are employed, no player can profit by unilaterally deviating from their strategy. These equilibrium strategies determine an equilibrium to the game—a stable state in which either one outcome occurs or a set of outcomes occur with known probability.Most cooperative games are presented in the characteristic function form, while the extensive and the normal forms are used to define noncooperative games.

Extensive form

(File:Ultimatum Game Extensive Form.svg|thumb|right|An extensive form game)The extensive form can be used to formalize games with a time sequencing of moves. Extensive form games can be visualised using game trees (as pictured here). Here each vertex (or node) represents a point of choice for a player. The player is specified by a number listed by the vertex. The lines out of the vertex represent a possible action for that player. The payoffs are specified at the bottom of the tree. The extensive form can be viewed as a multi-player generalization of a decision tree.BOOK, Fudenberg, Drew, Tirole, Jean, Game Theory, 1991, MIT Press, 978-0-262-06141-4,books.google.com/books?id=pFPHKwXro3QC, 67, To solve any extensive form game, backward induction must be used. It involves working backward up the game tree to determine what a rational player would do at the last vertex of the tree, what the player with the previous move would do given that the player with the last move is rational, and so on until the first vertex of the tree is reached.BOOK, Security Studies: an Introduction, Williams, Paul D., Routledge, 2013, Abingdon-on-Thames, Abingdon, 55–56, second, The game pictured consists of two players. The way this particular game is structured (i.e., with sequential decision making and perfect information), Player 1 “moves” first by choosing either {{var|F}} or {{var|U}} (fair or unfair). Next in the sequence, Player 2, who has now observed Player 1{{’}}s move, can choose to play either {{var|A}} or {{var|R}} (accept or reject). Once Player 2 has made their choice, the game is considered finished and each player gets their respective payoff, represented in the image as two numbers, where the first number represents Player 1’s payoff, and the second number represents Player 2’s payoff. Suppose that Player 1 chooses {{var|U}} and then Player 2 chooses {{var|A}}: Player 1 then gets a payoff of “eight” (which in real-world terms can be interpreted in many ways, the simplest of which is in terms of money but could mean things such as eight days of vacation or eight countries conquered or even eight more opportunities to play the same game against other players) and Player 2 gets a payoff of “two”.The extensive form can also capture simultaneous-move games and games with imperfect information. To represent it, either a dotted line connects different vertices to represent them as being part of the same information set (i.e. the players do not know at which point they are), or a closed line is drawn around them. (See example in the imperfect information section.)

Normal form

{{Payoff matrix |Float=right |Width=330| Name = Normal form or payoff matrix of a 2-player, 2-strategy game#900|Player 2chooses Left}}#900|Player 2chooses Right}}#009|Player 1chooses Up}}#009|Player 1chooses Down}}#0094}}, {{color>#900|3}}#009–1}}, {{color>#900|–1}}#0090}}, {{color>#900|0}}#0093}}, {{color>#900|4}}}}The normal (or strategic form) game is usually represented by a matrix which shows the players, strategies, and payoffs (see the example to the right). More generally it can be represented by any function that associates a payoff for each player with every possible combination of actions. In the accompanying example there are two players; one chooses the row and the other chooses the column. Each player has two strategies, which are specified by the number of rows and the number of columns. The payoffs are provided in the interior. The first number is the payoff received by the row player (Player 1 in our example); the second is the payoff for the column player (Player 2 in our example). Suppose that Player 1 plays Up and that Player 2 plays Left. Then Player 1 gets a payoff of 4, and Player 2 gets 3.When a game is presented in normal form, it is presumed that each player acts simultaneously or, at least, without knowing the actions of the other. If players have some information about the choices of other players, the game is usually presented in extensive form.Every extensive-form game has an equivalent normal-form game, however, the transformation to normal form may result in an exponential blowup in the size of the representation, making it computationally impractical.{{sfnp|Shoham|Leyton-Brown|2008|p=35}}

Characteristic function form

In cooperative game theory the characteristic function lists the payoff of each coalition. The origin of this formulation is in John von Neumann and Oskar Morgenstern’s book.{{citation needed|date=May 2024}}Formally, a characteristic function is a function v : 2^N to mathbb{R} 2^N denotes the power set of N. from the set of all possible coalitions of players to a set of payments, and also satisfies v( emptyset ) = 0 . The function describes how much collective payoff a set of players can gain by forming a coalition.

Alternative game representations

{{see also|Succinct game}}Alternative game representation forms are used for some subclasses of games or adjusted to the needs of interdisciplinary research.ARXIV, Tagiew, Rustam, If more than Analytical Modeling is Needed to Predict Real Agents’ Strategic Interaction, 3 May 2011, 1105.0558, cs.GT, In addition to classical game representations, some of the alternative representations also encode time related aspects.{| class=“wikitable sortable”!Name!Year!Means!Type of games!Time

Congestion gameROSENTHAL	AUTHOR-LINK1=ROBERT W. ROSENTHAL	JOURNAL=INTERNATIONAL JOURNAL OF GAME THEORY	VOLUME=2	PAGES=65–67	S2CID=121904640, |1973|functions|subset of n-person games, simultaneous moves|No

	AUTHOR-LINK1=DAPHNE KOLLER	FIRST2=NIMROD	LAST3=VON STENGEL	TITLE=PROCEEDINGS OF THE TWENTY-SIXTH ANNUAL ACM SYMPOSIUM ON THEORY OF COMPUTING – STOC ‘94	PAGES=750–759	DOI=10.1145/195058.195451	S2CID=1893272, |1994|matrices|2-person games of imperfect information|No

LAST2=DILL

TITLE=A THEORY OF TIMED AUTOMATA

DATE=APRIL 1994

ISSUE=2

DOI=10.1016/0304-3975(94)90010-8

LAST2=LYGEROS

LAST3=SHANKAR SASTRY

TITLE=A GAME THEORETIC APPROACH TO CONTROLLER DESIGN FOR HYBRID SYSTEMS

DATE=JULY 2000

ISSUE=7

DOI=10.1109/5.871303, 1844682, |1994|functions|2-person games|Yes

	LAST2=PFEFFER	TITLE=REPRESENTATIONS AND SOLUTIONS FOR GAME-THEORETIC PROBLEMS	DATE=1997	ISSUE=1–2	URL=HTTP://WWW.DCA.FEE.UNICAMP.BR/~GOMIDE/COURSES/EA044/ARTIGOS/REPRESENTATIONSSOLUTIONSGAMETHEORETICPROBLEMSKOLLER1997.PDF	ARCHIVE-DATE=2017-08-11	DOI=10.1016/S0004-3702(97)00023-4, |1997	First-order logic>logic|n-person games of imperfect information|No

Graphical game theory>Graphical gamesMICHAEL >FIRST1=MICHAEL KEARNS	FIRST2=MICHAEL L.	JOURNAL=IN UAI	PAGES=253–260		LAST2=LITTMAN	LAST3=SINGH	TITLE=GRAPHICAL MODELS FOR GAME THEORY	EPRINT=1301.2281, cs.GT, |2001|graphs, functions|n-person games, simultaneous moves|No

	LAST2=TENNENHOLTZ	TITLE=LOCAL-EFFECT GAMES	CONFERENCE=DAGSTUHL SEMINAR PROCEEDINGS	URL=HTTPS://DROPS.DAGSTUHL.DE/VOLLTEXTE/2005/219/PDF/05011.LEYTONBROWNKEVIN.PAPER.219.PDF, February 3, 2023, |2003|functions|subset of n-person games, simultaneous moves|No

Game description language>GDLGENESERETH >FIRST1=MICHAEL	FIRST2=NATHANIEL	FIRST3=BARNEY	JOURNAL=AI MAGAZINE	VOLUME=26	PAGES=62	ISSN=2371-9621, |2005	First-order logic>logic|deterministic n-person games, simultaneous moves|No

	TITLE=MODELING SHORTEST PATH GAMES WITH PETRI NETS: A LYAPUNOV BASED THEORY	DATE=2006	ISSUE=3	URL=HTTP://PLDML.ICM.EDU.PL/PLDML/ELEMENT/BWMETA1.ELEMENT.BWNJOURNAL-ARTICLE-AMCV16I3P387BWM	ACCESS-DATE=8 FEBRUARY 2020	ARCHIVE-URL=HTTPS://WEB.ARCHIVE.ORG/WEB/20200522000643/HTTP://PLDML.ICM.EDU.PL/PLDML/ELEMENT/BWMETA1.ELEMENT.BWNJOURNAL-ARTICLE-AMCV16I3P387BWM, live, |2006|Petri net|deterministic n-person games, simultaneous moves|No

	TITLE=GAMES WITH IMPERFECTLY OBSERVABLE ACTIONS IN CONTINUOUS TIME	DATE=SEPTEMBER 2007	ISSUE=5	DOI=10.1111/J.1468-0262.2007.00795.X	ARCHIVE-URL=HTTPS://WEB.ARCHIVE.ORG/WEB/20071213001206/HTTP://WWW.DKLEVINE.COM/ARCHIVE/SANNIKOV_GAMES.PDF	URL-STATUS=LIVE, |2007|functions|subset of 2-person games of imperfect information|Yes

	TITLE=2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION	DATE=DECEMBER 2008	DOI=10.1109/CIMCA.2008.15	S2CID=16679934, TAGIEW >FIRST1=RUSTAM	CHAPTER=ON MULTI-AGENT PETRI NET MODELS FOR COMPUTING EXTENSIVE FINITE GAMES	DATE=2009	DOI=10.1007/978-3-642-03958-4_21	SERIES=STUDIES IN COMPUTATIONAL INTELLIGENCE, 978-3-642-03957-7, |2008|Petri net|n-person games of imperfect information|Yes

	LAST2=LEYTON-BROWN	TITLE=COMPUTING NASH EQUILIBRIA OF ACTION-GRAPH GAMES	EPRINT=1207.4128, cs.GT, |2012|graphs, functions|n-person games, simultaneous moves|No

General and applied uses

As a method of applied mathematics, game theory has been used to study a wide variety of human and animal behaviors. It was initially developed in economics to understand a large collection of economic behaviors, including behaviors of firms, markets, and consumers. The first use of game-theoretic analysis was by Antoine Augustin Cournot in 1838 with his solution of the Cournot duopoly. The use of game theory in the social sciences has expanded, and game theory has been applied to political, sociological, and psychological behaviors as well.JOURNAL, Larson, Jennifer M., Networks of Conflict and Cooperation, Annual Review of Political Science, 11 May 2021, 24, 1, 89–107, 10.1146/annurev-polisci-041719-102523, free, Although pre-twentieth-century naturalists such as Charles Darwin made game-theoretic kinds of statements, the use of game-theoretic analysis in biology began with Ronald Fisher’s studies of animal behavior during the 1930s. This work predates the name “game theory”, but it shares many important features with this field. The developments in economics were later applied to biology largely by John Maynard Smith in his 1982 book Evolution and the Theory of Games.JOURNAL, Friedman, Daniel, 1998, On economic applications of evolutionary game theory,leeps.ucsc.edu/media/papers/EconAppEvolGameTheory3-1-98.pdf,leeps.ucsc.edu/media/papers/EconAppEvolGameTheory3-1-98.pdf," title="web.archive.org/web/20140211210314leeps.ucsc.edu/media/papers/EconAppEvolGameTheory3-1-98.pdf,">web.archive.org/web/20140211210314leeps.ucsc.edu/media/papers/EconAppEvolGameTheory3-1-98.pdf, 2014-02-11, live, Journal of Evolutionary Economics, 8, 14–53, In addition to being used to describe, predict, and explain behavior, game theory has also been used to develop theories of ethical or normative behavior and to prescribe such behavior.BOOK, Colin F. Camerer, Colin F., Camerer, 2003, Behavioral Game Theory: Experiments in Strategic Interaction, 5–7,press.princeton.edu/chapters/i7517.html, 1.1 What Is Game Theory Good For?,press.princeton.edu/chapters/i7517.html," title="web.archive.org/web/20110514201411press.princeton.edu/chapters/i7517.html,">web.archive.org/web/20110514201411press.princeton.edu/chapters/i7517.html, 14 May 2011, In economics and philosophy, scholars have applied game theory to help in the understanding of good or proper behavior. Game-theoretic approaches have also been suggested in the philosophy of language and philosophy of science.JOURNAL, Bruin, Boudewijn de, September 2005, Game Theory in Philosophy,link.springer.com/10.1007/s11245-005-5055-3, Topoi, en, 24, 2, 197–208, 10.1007/s11245-005-5055-3, 0167-7411, Game-theoretic arguments of this type can be found as far back as Plato.ENCYCLOPEDIA,plato.stanford.edu/archives/spr2008/entries/game-theory/, Game Theory, 21 August 2008, Ross, Don, Stanford Encyclopedia of Philosophy, 10 March 2006, Stanford University, Edward N., Zalta, An alternative version of game theory, called chemical game theory, represents the player’s choices as metaphorical chemical reactant molecules called “knowlecules”.JOURNAL, Velegol, Darrell, Suhey, Paul, Connolly, John, Morrissey, Natalie, Cook, Laura, 2018-09-14, Chemical Game Theory, Industrial & Engineering Chemistry Research, 57, 41, 13593–13607, 10.1021/acs.iecr.8b03835, 105204747, 0888-5885,  Chemical game theory then calculates the outcomes as equilibrium solutions to a system of chemical reactions.

Description and modeling

File:Centipede game.svg|thumb|upright=1.25|right|A four-stage centipede gamecentipede gameThe primary use of game theory is to describe and model how human populations behave.{{Citation needed|date=November 2019}} Some{{Who|date=July 2012}} scholars believe that by finding the equilibria of games they can predict how actual human populations will behave when confronted with situations analogous to the game being studied. This particular view of game theory has been criticized. It is argued that the assumptions made by game theorists are often violated when applied to real-world situations. Game theorists usually assume players act rationally, but in practice, human rationality and/or behavior often deviates from the model of rationality as used in game theory. Game theorists respond by comparing their assumptions to those used in physics. Thus while their assumptions do not always hold, they can treat game theory as a reasonable scientific ideal akin to the models used by physicists. However, empirical work has shown that in some classic games, such as the centipede game, guess 2/3 of the average game, and the dictator game, people regularly do not play Nash equilibria. There is an ongoing debate regarding the importance of these experiments and whether the analysis of the experiments fully captures all aspects of the relevant situation.{{efn|Experimental work in game theory goes by many names, experimental economics, behavioral economics, and behavioural game theory are several.BOOK, Colin F., Camerer, 2003, Behavioral Game Theory: Experiments in Strategic Interaction,press.princeton.edu/chapters/i7517.html, Introduction,press.princeton.edu/chapters/i7517.html," title="web.archive.org/web/20110514201411press.princeton.edu/chapters/i7517.html,">web.archive.org/web/20110514201411press.princeton.edu/chapters/i7517.html, 14 May 2011, 1–25, }}Some game theorists, following the work of John Maynard Smith and George R. Price, have turned to evolutionary game theory in order to resolve these issues. These models presume either no rationality or bounded rationality on the part of players. Despite the name, evolutionary game theory does not necessarily presume natural selection in the biological sense. Evolutionary game theory includes both biological as well as cultural evolution and also models of individual learning (for example, fictitious play dynamics).

Prescriptive or normative analysis

{{Payoff matrix |Name=The prisoner’s dilemma | 2L=Cooperate |2R=Defect |1U=Cooperate |UL=-1, −1 |UR=-10, 0 |1D=Defect |DL=0, −10 |DR=-5, −5}}Some scholars see game theory not as a predictive tool for the behavior of human beings, but as a suggestion for how people ought to behave. Since a strategy, corresponding to a Nash equilibrium of a game constitutes one’s best response to the actions of the other players – provided they are in (the same) Nash equilibrium – playing a strategy that is part of a Nash equilibrium seems appropriate. This normative use of game theory has also come under criticism.{{Citation needed|date=March 2020}}{{Anchor|Economics}}

Use of game theory in Economics

Game theory is a major method used in mathematical economics and business for modeling competing behaviors of interacting agents.{{efn|At (JEL classification codes#Mathematical and quantitative methods JEL: C Subcategories|JEL:C7) of the Journal of Economic Literature classification codes.}}BOOK, Robert Aumann, Robert J., Aumann, 2008, game theory, The New Palgrave Dictionary of Economics, 2nd,www.dictionaryofeconomics.com/article?id=pde2008_G000007&edition=current&q=game%20theory&topicid=&result_number=4, 22 August 2011,www.dictionaryofeconomics.com/article?id=pde2008_G000007&edition=current&q=game%20theory&topicid=&result_number=4," title="web.archive.org/web/20110515034120www.dictionaryofeconomics.com/article?id=pde2008_G000007&edition=current&q=game%20theory&topicid=&result_number=4,">web.archive.org/web/20110515034120www.dictionaryofeconomics.com/article?id=pde2008_G000007&edition=current&q=game%20theory&topicid=&result_number=4, 15 May 2011, dead, BOOK, Martin Shubik, Martin, Shubik, 1981, Game Theory Models and Methods in Political Economy, Kenneth Arrow, Kenneth, Arrow, Michael, Intriligator, Handbook of Mathematical Economics, v. 1, 1, 1, 285–330, 10.1016/S1573-4382(81)01011-4, 978-0-444-86126-9, JOURNAL, Shapiro, Carl, Carl Shapiro, Spring 1989, The Theory of Business Strategy, The RAND Journal of Economics, 20, 1, 125–137, 2555656, Wiley (publisher), Wiley, 10296625, . Applications include a wide array of economic phenomena and approaches, such as auctions, bargaining, mergers and acquisitions pricing,CONFERENCE, Agarwal, N., Zeephongsekul, P.,www.mssanz.org.au/modsim2011/D6/agarwal.pdf, Psychological Pricing in Mergers & Acquisitions using Game Theory, 19th International Congress on Modelling and Simulation,mssanz.org.au/modsim2011/, Perth, February 3, 2023, December 11–12, 2011, fair division, duopolies, oligopolies, social network formation, agent-based computational economics,JOURNAL, Tesfatsion, Leigh, Leigh Tesfatsion, Chapter 16 Agent-Based Computational Economics: A Constructive Approach to Economic Theory, 2006, Handbook of Computational Economics, 2, 831–880, 10.1016/S1574-0021(05)02016-2, 9780444512536, BOOK, 2008, The New Palgrave Dictionary of Economics, computer science and game theory, Joseph Y. Halpern,www.dictionaryofeconomics.com/article?id=pde2008_C000566&edition=current&topicid=&result_number=1, general equilibrium, mechanism design,BOOK, 2008, The New Palgrave Dictionary of Economics, mechanism design, Roger B. Myerson, Roger B., Myerson,www.dictionaryofeconomics.com/article?id=pde2008_M000132&edition=current&q=mechanism%20design&topicid=&result_number=3, 4 August 2011,www.dictionaryofeconomics.com/article?id=pde2008_M000132&edition=current&q=mechanism%20design&topicid=&result_number=3," title="web.archive.org/web/20111123042038www.dictionaryofeconomics.com/article?id=pde2008_M000132&edition=current&q=mechanism%20design&topicid=&result_number=3,">web.archive.org/web/20111123042038www.dictionaryofeconomics.com/article?id=pde2008_M000132&edition=current&q=mechanism%20design&topicid=&result_number=3, 23 November 2011, dead, BOOK, 2008, The New Palgrave Dictionary of Economics, revelation principle, Roger B. Myerson, Roger B., Myerson,www.dictionaryofeconomics.com/article?id=pde2008_R000137&edition=current&q=moral&topicid=&result_number=1, 4 August 2011, 16 May 2013,www.dictionaryofeconomics.com/article?id=pde2008_R000137&edition=current&q=moral&topicid=&result_number=1," title="web.archive.org/web/20130516143359www.dictionaryofeconomics.com/article?id=pde2008_R000137&edition=current&q=moral&topicid=&result_number=1,">web.archive.org/web/20130516143359www.dictionaryofeconomics.com/article?id=pde2008_R000137&edition=current&q=moral&topicid=&result_number=1, live, BOOK, 2008, The New Palgrave Dictionary of Economics, computing in mechanism design, Tuomas, Sandholm,www.dictionaryofeconomics.com/article?id=pde2008_C000563&edition=&field=keyword&q=algorithmic%20mechanism%20design&topicid=&result_number=1, 5 December 2011,www.dictionaryofeconomics.com/article?id=pde2008_C000563&edition=&field=keyword&q=algorithmic%20mechanism%20design&topicid=&result_number=1," title="web.archive.org/web/20111123042038www.dictionaryofeconomics.com/article?id=pde2008_C000563&edition=&field=keyword&q=algorithmic%20mechanism%20design&topicid=&result_number=1,">web.archive.org/web/20111123042038www.dictionaryofeconomics.com/article?id=pde2008_C000563&edition=&field=keyword&q=algorithmic%20mechanism%20design&topicid=&result_number=1, 23 November 2011, dead, JOURNAL, Nisan, Noam, Noam Nisan, Ronen, Amir, April 2001, Algorithmic Mechanism Design, Games and Economic Behavior, 35, 1–2,www.cs.cmu.edu/~sandholm/cs15-892F09/Algorithmic%20mechanism%20design.pdf, 166–196, 10.1006/game.1999.0790, 10.1.1.21.1731, 29 August 2019, 14 October 2018,www.cs.cmu.edu/~sandholm/cs15-892F09/Algorithmic%20mechanism%20design.pdf," title="web.archive.org/web/20181014005314www.cs.cmu.edu/~sandholm/cs15-892F09/Algorithmic%20mechanism%20design.pdf,">web.archive.org/web/20181014005314www.cs.cmu.edu/~sandholm/cs15-892F09/Algorithmic%20mechanism%20design.pdf, live, BOOK, Noam Nisan, Noam, Nisan, Roughgarden, Tim, Tardos, Eva, Vazirani, Vijay V., 2007, Algorithmic Game Theory, Cambridge University Press, 9780521872829, 2007014231, and voting systems;BOOK, 10.1016/S1574-0005(05)80062-1, Chapter 30 Voting procedures, 2, 1055–1089, Handbook of Game Theory with Economic Applications, 1994, Brams, Steven J., 978-0-444-89427-4, and BOOK, 10.1016/S1574-0005(05)80063-3, Chapter 31 Social choice, 2, 1091–1125, Handbook of Game Theory with Economic Applications, 1994, Moulin, Hervé, 978-0-444-89427-4, and across such broad areas as experimental economics,BOOK,books.google.com/books?id=9CHY2Gozh1MC&pg=PA241, limited, Smith, Vernon L., Vernon L. Smith, Game Theory and Experimental Economics: Beginnings and Early Influences, 1992, Toward a History of Game Theory, History of Political Economy, 24, Weintraub, E. Roy, 241–282, 978-0822312536, Duke University Press, Durham and London, 10.1215/00182702-24-Supplement-241, 0018-2702, BOOK, 10.1016/B0-08-043076-7/02232-4, Experimental Economics, International Encyclopedia of the Social & Behavioral Sciences, 5100–5108, 2001, Smith, Vernon L., Vernon L. Smith, 978-0-08-043076-8, BOOK,www.sciencedirect.com/science/handbooks/15740722, Handbook of Experimental Economics Results, Plott, Charles R., Smith, Vernon L., Vernon L. Smith, sciencedirect.com, Elsevier#Imprints, North-Holland Publishing Company, 1, 1574-0722, Elsevier, 3 January 2013, 23 January 2013,www.sciencedirect.com/science/handbooks/15740722," title="web.archive.org/web/20130123120827www.sciencedirect.com/science/handbooks/15740722,">web.archive.org/web/20130123120827www.sciencedirect.com/science/handbooks/15740722, live, Vincent P. Crawford (1997). “Theory and Experiment in the Analysis of Strategic Interaction,” in Advances in Economics and Econometrics: Theory and Applications, pp. 206–242 {{Webarchive|url=https://web.archive.org/web/20120401234518weber.ucsd.edu/~vcrawfor/CrawfordThExp97.pdf |date=1 April 2012 }}. Cambridge. Reprinted in Colin F. Camerer et al., ed. (2003). Advances in Behavioral Economics, Princeton. 1986–2003 papers. Description {{Webarchive|url=https://web.archive.org/web/20120118024451press.princeton.edu/titles/8437.html |date=18 January 2012 }}, preview, Princeton, ch. 12BOOK, 10.1016/S1574-0005(02)03025-4, Chapter 62 Game theory and experimental gaming, Handbook of Game Theory with Economic Applications Volume 3, 3, 2327–2351, 2002, Shubik, Martin, 978-0-444-89428-1, behavioral economics,BOOK, 2008, The New Palgrave Dictionary of Economics, Faruk Gul. “behavioural economics and game theory.” Abstract. {{Webarchive|url=https://web.archive.org/web/20170807112808www.dictionaryofeconomics.com/article?id=pde2008_G000210&q=Behavioral%20economics%20&topicid=&result_number=2 |date=7 August 2017 }}BOOK, 2008, The New Palgrave Dictionary of Economics, behavioral game theory, Colin F. Camerer, Colin F., Camerer,www.dictionaryofeconomics.com/article?id=pde2008_B000302&q=Behavioral%20economics%20&topicid=&result_number=13, 4 August 2011,www.dictionaryofeconomics.com/article?id=pde2008_B000302&q=Behavioral%20economics%20&topicid=&result_number=13," title="web.archive.org/web/20111123034346www.dictionaryofeconomics.com/article?id=pde2008_B000302&q=Behavioral%20economics%20&topicid=&result_number=13,">web.archive.org/web/20111123034346www.dictionaryofeconomics.com/article?id=pde2008_B000302&q=Behavioral%20economics%20&topicid=&result_number=13, 23 November 2011, dead, JOURNAL, Colin F. Camerer, Colin F., Camerer, 1997, Progress in Behavioral Game Theory, Journal of Economic Perspectives, 11, 4, 172, 10.1257/jep.11.4.167,authors.library.caltech.edu/22122/1/2138470%5B1%5D.pdf,authors.library.caltech.edu/22122/1/2138470%5B1%5D.pdf," title="web.archive.org/web/20120531215826authors.library.caltech.edu/22122/1/2138470%5B1%5D.pdf,">web.archive.org/web/20120531215826authors.library.caltech.edu/22122/1/2138470%5B1%5D.pdf, 2012-05-31, live, BOOK, Colin F. Camerer, Colin F., Camerer, 2003, Behavioral Game Theory, Princeton, Description {{Webarchive|url=https://web.archive.org/web/20110514201411press.princeton.edu/chapters/i7517.html |date= 14 May 2011 }}, preview {{Webarchive|url=https://web.archive.org/web/20230326164811books.google.com/books?id=cr_Xg7cRvdcC&pg=PR7 |date=26 March 2023 }} ([ctrl]+), and ch. 1 link {{Webarchive|url=https://web.archive.org/web/20130704185133press.princeton.edu/chapters/i7517.pdf |date=4 July 2013 }}.JOURNAL, Colin F. Camerer, Colin F., Camerer, George, Loewenstein, George Loewenstein, Matthew Rabin, Matthew, Rabin, 2003, Advances in Behavioral Economics, Princeton, 1986–2003 Papers, 1-4008-2911-9,books.google.com/books?id=sA4jJOjwCW4C&pg=PR7, JOURNAL, Drew, Fudenberg, Drew Fudenberg, 2006, Advancing Beyond Advances in Behavioral Economics, Journal of Economic Literature, 44, 3, 694–711, 10.1257/jel.44.3.694, 30032349, 3490729,nrs.harvard.edu/urn-3:HUL.InstRepos:3208222, 1 May 2020, 10 July 2021,web.archive.org/web/20210710080616/https://dash.harvard.edu/handle/1/3208222, live, information economics,BOOK, Eric, Rasmusen, 2007, Games and Information, Wiley, 978-1-4051-3666-2, 4th,books.google.com/books?id=5XEMuJwnBmUC&pg=PR5, BOOK, David M., Kreps, David M. Kreps, 1990, Game Theory and Economic Modelling,econpapers.repec.org/bookchap/oxpobooks/9780198283812.htm, 22 August 2011, 5 March 2012,econpapers.repec.org/bookchap/oxpobooks/9780198283812.htm," title="web.archive.org/web/20120305091249econpapers.repec.org/bookchap/oxpobooks/9780198283812.htm,">web.archive.org/web/20120305091249econpapers.repec.org/bookchap/oxpobooks/9780198283812.htm, live, BOOK, Aumann, Robert, Hart, Sergiu, Handbook of Game Theory with Economic Applications, 1992, 1, 1–733,www.sciencedirect.com/handbook/handbook-of-game-theory-with-economic-applications/vol/1, 18 December 2019, 18 April 2019,web.archive.org/web/20190418155757/https://www.sciencedirect.com/handbook/handbook-of-game-theory-with-economic-applications/vol/1, live, BOOK, 10.1016/S1574-0005(02)03006-0, Chapter 43 Incomplete information, Handbook of Game Theory with Economic Applications Volume 3, 3, 1665–1686, 2002, Aumann, Robert J., Heifetz, Aviad, 978-0-444-89428-1, industrial organization,BOOK, Jean Tirole, Jean, Tirole, 1988, The Theory of Industrial Organization, MIT Press, Description and chapter-preview links, pp. vii–ix, “General Organization,” pp. 5–6, and “Non-Cooperative Game Theory: A User’s Guide Manual,’ ” ch. 11, pp. 423–59.Kyle Bagwell and Asher Wolinsky (2002). “Game theory and Industrial Organization,” ch. 49, Handbook of Game Theory with Economic Applications, v. 3, pp. 1851–1895 {{Webarchive|url=https://web.archive.org/web/20160102040935www.sciencedirect.com/science/article/pii/S1574000502030126 |date=2 January 2016 }}.Martin Shubik (1959). Strategy and Market Structure: Competition, Oligopoly, and the Theory of Games, Wiley. Description {{Webarchive|url=https://web.archive.org/web/20181014005001devirevues.demo.inist.fr/handle/2042/29380 |date=14 October 2018 }} and review extract {{Webarchive|url=https://web.archive.org/web/20210710080616www.jstor.org/pss/40434883 |date=10 July 2021 }}.Martin Shubik with Richard Levitan (1980). Market Structure and Behavior, Harvard University Press. Review extract. {{webarchive |url=https://web.archive.org/web/20100315131945mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8224 |date=15 March 2010 }} and political economy.Martin Shubik (1981). “Game Theory Models and Methods in Political Economy,” in Handbook of Mathematical Economics, v. 1, pp. 285–330 {{doi|10.1016/S1573-4382(81)01011-4}}.Martin Shubik (1987). A Game-Theoretic Approach to Political Economy. MIT Press. Description. {{webarchive |url=https://web.archive.org/web/20110629151809mitpress.mit.edu/catalog/item/default.asp?tid=5086&ttype=2 |date=29 June 2011 }}Martin Shubik (1978). “Game Theory: Economic Applications,” in W. Kruskal and J.M. Tanur, ed., International Encyclopedia of Statistics, v. 2, pp. 372–78.Robert Aumann and Sergiu Hart, ed. Handbook of Game Theory with Economic Applications (scrollable to chapter-outline or abstract links): :1992. v. 1 {{Webarchive|url=https://web.archive.org/web/20170816004452www.sciencedirect.com/science/handbooks/15740005/1 |date=16 August 2017 }}; 1994. v. 2 {{Webarchive|url=https://web.archive.org/web/20150918010323www.sciencedirect.com/science/handbooks/15740005/2 |date=18 September 2015 }}; 2002. v. 3. {{Webarchive|url=https://web.archive.org/web/20150918021311www.sciencedirect.com/science/handbooks/15740005/3 |date=18 September 2015 }}This research usually focuses on particular sets of strategies known as “solution concepts” or “equilibria”. A common assumption is that players act rationally. In non-cooperative games, the most famous of these is the Nash equilibrium. A set of strategies is a Nash equilibrium if each represents a best response to the other strategies. If all the players are playing the strategies in a Nash equilibrium, they have no unilateral incentive to deviate, since their strategy is the best they can do given what others are doing.WEB,www.insead.edu/facultyresearch/research/doc.cfm?did=46503, Game-theoretic model to examine the two tradeoffs in the acquisition of information for a careful balancing act,www.insead.edu/facultyresearch/research/doc.cfm?did=46503," title="web.archive.org/web/20130524231021www.insead.edu/facultyresearch/research/doc.cfm?did=46503,">web.archive.org/web/20130524231021www.insead.edu/facultyresearch/research/doc.cfm?did=46503, 24 May 2013, INSEAD, Markus, Christen, 1 July 1998, dead, 1 July 2012, WEB,www.europeanfinancialreview.com/?p=4645, dead, Options Games: Balancing the trade-off between flexibility and commitment,www.europeanfinancialreview.com/?p=4645," title="web.archive.org/web/20130620053305www.europeanfinancialreview.com/?p=4645,">web.archive.org/web/20130620053305www.europeanfinancialreview.com/?p=4645, 20 June 2013, The European Financial Review, 15 February 2012, 2013-01-03, Benoît, Chevalier-Roignant, Lenos, Trigeorgis, The payoffs of the game are generally taken to represent the utility of individual players.A prototypical paper on game theory in economics begins by presenting a game that is an abstraction of a particular economic situation. One or more solution concepts are chosen, and the author demonstrates which strategy sets in the presented game are equilibria of the appropriate type. Economists and business professors suggest two primary uses (noted above): descriptive and prescriptive.

Application in Managerial Economics

Game theory also has an extensive use in a specific branch or stream of economics – Managerial Economics. One important usage of it in the field of managerial economics is in analyzing strategic interactions between firms.{{Citation |title=Game theory |date=2005 |url=https://www.cambridge.org/core/books/managerial-economics/game-theory/3FE79201CDBC56C279A56B3C76743C33 |work=Managerial Economics: A Problem-Solving Approach |pages=331–381 |editor-last=Wilkinson |editor-first=Nick |access-date=2023-04-23 |place=Cambridge |publisher=Cambridge University Press |doi=10.1017/CBO9780511810534.015 |isbn=978-0-521-52625-8 |archive-date=10 June 2018 |archive-url=https://web.archive.org/web/20180610031212www.cambridge.org/core/books/managerial-economics/game-theory/3FE79201CDBC56C279A56B3C76743C33 |url-status=live }} For example, firms may be competing in a market with limited resources, and game theory can help managers understand how their decisions impact their competitors and the overall market outcomes. Game theory can also be used to analyze cooperation between firms, such as in forming strategic alliances or joint ventures. Another use of game theory in managerial economics is in analyzing pricing strategies. For example, firms may use game theory to determine the optimal pricing strategy based on how they expect their competitors to respond to their pricing decisions. Overall, game theory serves as a useful tool for analyzing strategic interactions and decision making in the context of managerial economics.

Uses of game theory in Business

The Chartered Institute of Procurement & Supply (CIPS) promotes knowledge and use of game theory within the context of business procurement.WEB, 2020-11-27, CIPS and TWS Partners promote game theory on the global stage,www.cips.org/who-we-are/news/cips-and-tws-partners-promote-game-theory-on-the-global-stage/, 2023-04-20,web.archive.org/web/20201127230832/https://www.cips.org/who-we-are/news/cips-and-tws-partners-promote-game-theory-on-the-global-stage/, 27 November 2020, CIPS and TWS Partners have conducted a series of surveys designed to explore the understanding, awareness and application of game theory among procurement professionals. Some of the main findings in their third annual survey (2019) include:

• application of game theory to procurement activity has increased – at the time it was at 19% across all survey respondents
• 65% of participants predict that use of game theory applications will grow
• 70% of respondents say that they have “only a basic or a below basic understanding” of game theory
• 20% of participants had undertaken on-the-job training in game theory
• 50% of respondents said that new or improved software solutions were desirable
• 90% of respondents said that they do not have the software they need for their work.CIPS (2021), Game Theory {{Webarchive|url=https://web.archive.org/web/20210411050812www.cips.org/knowledge/procurement-topics-and-skills/game-theory/game-theory/tabs-3 |date=11 April 2021 }}, CIPS in conjunction with TWS Partners, accessed 11 April 2021

Use of game theory in project management

Sensible decision-making is critical for the success of projects. In project management, game theory is used to model the decision-making process of players, such as investors, project managers, contractors, sub-contractors, governments and customers. Quite often, these players have competing interests, and sometimes their interests are directly detrimental to other players, making project management scenarios well-suited to be modeled by game theory.Piraveenan (2019)JOURNAL, Piraveenan, Mahendra, Applications of Game Theory in Project Management: A Structured Review and Analysis, Mathematics, 2019, 7, 9, 858, 10.3390/math7090858, free, (File:CC-BY icon.svg|50px) Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License {{Webarchive|url=https://web.archive.org/web/20171016050101creativecommons.org/licenses/by/4.0/ |date=16 October 2017 }}. in his review provides several examples where game theory is used to model project management scenarios. For instance, an investor typically has several investment options, and each option will likely result in a different project, and thus one of the investment options has to be chosen before the project charter can be produced. Similarly, any large project involving subcontractors, for instance, a construction project, has a complex interplay between the main contractor (the project manager) and subcontractors, or among the subcontractors themselves, which typically has several decision points. For example, if there is an ambiguity in the contract between the contractor and subcontractor, each must decide how hard to push their case without jeopardizing the whole project, and thus their own stake in it. Similarly, when projects from competing organizations are launched, the marketing personnel have to decide what is the best timing and strategy to market the project, or its resultant product or service, so that it can gain maximum traction in the face of competition. In each of these scenarios, the required decisions depend on the decisions of other players who, in some way, have competing interests to the interests of the decision-maker, and thus can ideally be modeled using game theory.Piraveenan summarises that two-player games are predominantly used to model project management scenarios, and based on the identity of these players, five distinct types of games are used in project management.

• Government-sector–private-sector games (games that model public–private partnerships)
• Contractor–contractor games
• Contractor–subcontractor games
• Subcontractor–subcontractor games
• Games involving other players

In terms of types of games, both cooperative as well as non-cooperative, normal-form as well as extensive-form, and zero-sum as well as non-zero-sum are used to model various project management scenarios.

Political science

{{Conflict resolution sidebar}}The application of game theory to political science is focused in the overlapping areas of fair division, political economy, public choice, war bargaining, positive political theory, and social choice theory. In each of these areas, researchers have developed game-theoretic models in which the players are often voters, states, special interest groups, and politicians.WEB, What game theory tells us about politics and society,news.mit.edu/2018/game-theory-politics-alexander-wolitzky-1204, 2023-04-23, MIT News {{!, Massachusetts Institute of Technology |date=4 December 2018 |archive-date=23 April 2023 |archive-url=https://web.archive.org/web/20230423144157news.mit.edu/2018/game-theory-politics-alexander-wolitzky-1204 |url-status=live }}Early examples of game theory applied to political science are provided by Anthony Downs. In his 1957 book An Economic Theory of Democracy,{{sfnp|Downs|1957}} he applies the Hotelling firm location model to the political process. In the Downsian model, political candidates commit to ideologies on a one-dimensional policy space. Downs first shows how the political candidates will converge to the ideology preferred by the median voter if voters are fully informed, but then argues that voters choose to remain rationally ignorant which allows for candidate divergence. Game theory was applied in 1962 to the Cuban Missile Crisis during the presidency of John F. Kennedy.WEB, Steven J., Brams, Steven Brams,plus.maths.org/content/game-theory-and-cuban-missile-crisis, Game theory and the Cuban missile crisis, Plus Magazine, 1 January 2001, 31 January 2016, 24 April 2015,web.archive.org/web/20150424010528/https://plus.maths.org/content/game-theory-and-cuban-missile-crisis, live, It has also been proposed that game theory explains the stability of any form of political government. Taking the simplest case of a monarchy, for example, the king, being only one person, does not and cannot maintain his authority by personally exercising physical control over all or even any significant number of his subjects. Sovereign control is instead explained by the recognition by each citizen that all other citizens expect each other to view the king (or other established government) as the person whose orders will be followed. Coordinating communication among citizens to replace the sovereign is effectively barred, since conspiracy to replace the sovereign is generally punishable as a crime.WEB, How game theory explains ‘irrational’ behavior,mitsloan.mit.edu/ideas-made-to-matter/how-game-theory-explains-irrational-behavior, 2023-04-23, MIT Sloan, 23 April 2023,web.archive.org/web/20230423144158/https://mitsloan.mit.edu/ideas-made-to-matter/how-game-theory-explains-irrational-behavior, live, Thus, in a process that can be modeled by variants of the prisoner’s dilemma, during periods of stability no citizen will find it rational to move to replace the sovereign, even if all the citizens know they would be better off if they were all to act collectively.JOURNAL, 10.2139/ssrn.2371076, Yes, Law is the Command of the Sovereign, Morrison, Andrew Stumpff, Social Science Research Network, SSRN, January 2013, A game-theoretic explanation for democratic peace is that public and open debate in democracies sends clear and reliable information regarding their intentions to other states. In contrast, it is difficult to know the intentions of nondemocratic leaders, what effect concessions will have, and if promises will be kept. Thus there will be mistrust and unwillingness to make concessions if at least one of the parties in a dispute is a non-democracy.JOURNAL, 10.1162/154247604323015463,eprints.lse.ac.uk/539/, 40004867, It Takes Two: An Explanation for the Democratic Peace, Journal of the European Economic Association, 2, 1, 1–29, 2004, Levy, G., Razin, R., 12114936, 28 August 2015, 4 March 2016,eprints.lse.ac.uk/539/," title="web.archive.org/web/20160304083552eprints.lse.ac.uk/539/,">web.archive.org/web/20160304083552eprints.lse.ac.uk/539/, live, However, game theory predicts that two countries may still go to war even if their leaders are cognizant of the costs of fighting. War may result from asymmetric information; two countries may have incentives to mis-represent the amount of military resources they have on hand, rendering them unable to settle disputes agreeably without resorting to fighting. Moreover, war may arise because of commitment problems: if two countries wish to settle a dispute via peaceful means, but each wishes to go back on the terms of that settlement, they may have no choice but to resort to warfare. Finally, war may result from issue indivisibilities.JOURNAL, Fearon, James D., 1 January 1995, Rationalist Explanations for War, International Organization, 49, 3, 379–414, 10.1017/s0020818300033324, 2706903, 38573183, Game theory could also help predict a nation’s responses when there is a new rule or law to be applied to that nation. One example is Peter John Wood’s (2013) research looking into what nations could do to help reduce climate change. Wood thought this could be accomplished by making treaties with other nations to reduce greenhouse gas emissions. However, he concluded that this idea could not work because it would create a prisoner’s dilemma for the nations.JOURNAL, Wood, Peter John, 2011, Climate change and game theory,crawford.anu.edu.au/research_units/eerh/pdf/EERH_RR62.pdf, Ecological Economics Review, 1219, 1, 153–70, 10.1111/j.1749-6632.2010.05891.x, 21332497, 1885/67270, 2011NYASA1219..153W, 21381945, 16 July 2019, 7 April 2019,web.archive.org/web/20190407133837/https://crawford.anu.edu.au/research_units/eerh/pdf/EERH_RR62.pdf, live,

Use of game theory in defence science and technology

Game theory has been used extensively to model decision-making scenarios relevant to defence applications.JOURNAL, Ho, Edwin, Rajagopalan, Arvind, Skvortsov, Alex, Arulampalam, Sanjeev, Piraveenan, Mahendra, January 2022, Game Theory in Defence Applications: A Review, Sensors, 22, 3, 1032, 10.3390/s22031032, 35161778, 8838118, 1424-8220, free, 2111.01876, 2022Senso..22.1032H, Most studies that has applied game theory in defence settings are concerned with Command and Control Warfare, and can be further classified into studies dealing with (i) Resource Allocation Warfare (ii) Information Warfare (iii) Weapons Control Warfare, and (iv) Adversary Monitoring Warfare. Many of the problems studied are concerned with sensing and tracking, for example a surface ship trying to track a hostile submarine and the submarine trying to evade being tracked, and the interdependent decision making that takes place with regards to bearing, speed, and the sensor technology activated by both vessels. Ho et al provides a concise summary of the state-of-the-art with regards to the use of game theory in defence applications and highlights the benefits and limitations of game theory in the considered scenarios.

Use of game theory in biology

{{Payoff matrix |Name=The hawk-dove game |2L=Hawk |2R=Dove |1U=Hawk |UL=20, 20 |UR=80, 40 |1D=Dove |DL=40, 80 |DR=60, 60}}Unlike those in economics, the payoffs for games in biology are often interpreted as corresponding to fitness. In addition, the focus has been less on equilibria that correspond to a notion of rationality and more on ones that would be maintained by evolutionary forces. The best-known equilibrium in biology is known as the evolutionarily stable strategy (ESS), first introduced in {{harv|Maynard Smith|Price|1973}}. Although its initial motivation did not involve any of the mental requirements of the Nash equilibrium, every ESS is a Nash equilibrium.In biology, game theory has been used as a model to understand many different phenomena. It was first used to explain the evolution (and stability) of the approximate 1:1 sex ratios. {{harv|Fisher|1930}} suggested that the 1:1 sex ratios are a result of evolutionary forces acting on individuals who could be seen as trying to maximize their number of grandchildren.Additionally, biologists have used evolutionary game theory and the ESS to explain the emergence of animal communication.{{sfnp|Harper|Maynard Smith|2003}} The analysis of signaling games and other communication games has provided insight into the evolution of communication among animals. For example, the mobbing behavior of many species, in which a large number of prey animals attack a larger predator, seems to be an example of spontaneous emergent organization. Ants have also been shown to exhibit feed-forward behavior akin to fashion (see Paul Ormerod’s Butterfly Economics).Biologists have used the game of chicken to analyze fighting behavior and territoriality.JOURNAL, Maynard Smith, John, John Maynard Smith, The theory of games and the evolution of animal conflicts, 10.1016/0022-5193(74)90110-6, Journal of Theoretical Biology, 47, 1, 209–221, 1974, 4459582, 1974JThBi..47..209M,www.dklevine.com/archive/refs4448.pdf,www.dklevine.com/archive/refs4448.pdf," title="web.archive.org/web/20120315070020www.dklevine.com/archive/refs4448.pdf,">web.archive.org/web/20120315070020www.dklevine.com/archive/refs4448.pdf, 2012-03-15, live, According to Maynard Smith, in the preface to Evolution and the Theory of Games, “paradoxically, it has turned out that game theory is more readily applied to biology than to the field of economic behaviour for which it was originally designed”. Evolutionary game theory has been used to explain many seemingly incongruous phenomena in nature.ENCYCLOPEDIA, Edward N. Zalta, Edward N., Zalta,plato.stanford.edu/entries/game-evolutionary/, Evolutionary Game Theory, Stanford Encyclopedia of Philosophy, Stanford University, 3 January 2013, 19 July 2009, J. McKenzie, Alexander, One such phenomenon is known as biological altruism. This is a situation in which an organism appears to act in a way that benefits other organisms and is detrimental to itself. This is distinct from traditional notions of altruism because such actions are not conscious, but appear to be evolutionary adaptations to increase overall fitness. Examples can be found in species ranging from vampire bats that regurgitate blood they have obtained from a night’s hunting and give it to group members who have failed to feed, to worker bees that care for the queen bee for their entire lives and never mate, to vervet monkeys that warn group members of a predator’s approach, even when it endangers that individual’s chance of survival.ENCYCLOPEDIA, Edward N., Zalta,plato.stanford.edu/entries/altruism-biological/, Biological Altruism, Stanford Encyclopedia of Philosophy, 3 June 2003, 3 January 2013, Stanford University, Edward N. Zalta, Samir, Okasha, All of these actions increase the overall fitness of a group, but occur at a cost to the individual.Evolutionary game theory explains this altruism with the idea of kin selection. Altruists discriminate between the individuals they help and favor relatives. Hamilton’s rule explains the evolutionary rationale behind this selection with the equation {{Math|c < b × r}}, where the cost {{varserif|c}} to the altruist must be less than the benefit {{varserif|b}} to the recipient multiplied by the coefficient of relatedness {{varserif|r}}. The more closely related two organisms are causes the incidences of altruism to increase because they share many of the same alleles. This means that the altruistic individual, by ensuring that the alleles of its close relative are passed on through survival of its offspring, can forgo the option of having offspring itself because the same number of alleles are passed on. For example, helping a sibling (in diploid animals) has a coefficient of {{frac|1|2}}, because (on average) an individual shares half of the alleles in its sibling’s offspring. Ensuring that enough of a sibling’s offspring survive to adulthood precludes the necessity of the altruistic individual producing offspring. The coefficient values depend heavily on the scope of the playing field; for example if the choice of whom to favor includes all genetic living things, not just all relatives, we assume the discrepancy between all humans only accounts for approximately 1% of the diversity in the playing field, a coefficient that was {{frac|1|2}} in the smaller field becomes 0.995. Similarly if it is considered that information other than that of a genetic nature (e.g. epigenetics, religion, science, etc.) persisted through time the playing field becomes larger still, and the discrepancies smaller.

Computer science and logic

Game theory has come to play an increasingly important role in logic and in computer science. Several logical theories have a basis in game semantics. In addition, computer scientists have used games to model interactive computations. Also, game theory provides a theoretical basis to the field of multi-agent systems.BOOK, Yoav, Shoham, Kevin, Leyton-Brown, Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations,books.google.com/books?id=bMR_qScakukC, 15 December 2008, Cambridge University Press, 978-1-139-47524-2, Separately, game theory has played a role in online algorithms; in particular, the {{var|k}}-server problem, which has in the past been referred to as games with moving costs and request-answer games.{{sfnp|Ben David|Borodin|Karp|Tardos|1994}} Yao’s principle is a game-theoretic technique for proving lower bounds on the computational complexity of randomized algorithms, especially online algorithms.The emergence of the Internet has motivated the development of algorithms for finding equilibria in games, markets, computational auctions, peer-to-peer systems, and security and information markets. Algorithmic game theory and within it algorithmic mechanism design combine computational algorithm design and analysis of complex systems with economic theory.BOOK, Joseph Y. Halpern, Joseph Y., Halpern, 2008, Computer science and game theory, The New Palgrave Dictionary of Economics, 2nd,www.dictionaryofeconomics.com/article?id=pde2008_C000566&edition=current&topicid=&result_number=1, JOURNAL, Yoav, Shoham, 2008, Computer Science and Game Theory, Communications of the ACM, 51, 8, 75–79,www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf, 10.1145/1378704.1378721, 10.1.1.314.2936, 2057889, 28 November 2011,www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf," title="web.archive.org/web/20120426005917www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf,">web.archive.org/web/20120426005917www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf, 26 April 2012, dead, JOURNAL, Amy, Littman, Michael L. Littman, Michael L., 2007, Introduction to the Special Issue on Learning and Computational Game Theory, Machine Learning, 67, 1–2, 3–6, 10.1007/s10994-007-0770-1, Littman, 22635389, free,

Philosophy

{{Payoff matrix |Name=Stag hunt | 2L=Stag |2R=Hare |1U=Stag |UL=3, 3 |UR=0, 2 |1D=Hare |DL=2, 0 |DR=2, 2}}Game theory has been put to several uses in philosophy. Responding to two papers by {{harvard citations|txt=yes|first=W.V.O.|last=Quine|author1-link=Willard Van Orman Quine|year=1960|year2=1967}}, {{Harvtxt|Lewis|1969}} used game theory to develop a philosophical account of convention. In so doing, he provided the first analysis of common knowledge and employed it in analyzing play in coordination games. In addition, he first suggested that one can understand meaning in terms of signaling games. This later suggestion has been pursued by several philosophers since Lewis.{{Harvtxt|Skyrms|1996}}{{sfnp|Grim|Kokalis|Alai-Tafti|Kilb|2004}} Following {{Harvtxt|Lewis|1969}} game-theoretic account of conventions, Edna Ullmann-Margalit (1977) and Bicchieri (2006) have developed theories of social norms that define them as Nash equilibria that result from transforming a mixed-motive game into a coordination game.{{citation |first=E. |last=Ullmann-Margalit |title=The Emergence of Norms |publisher=Oxford University Press |year=1977 |isbn=978-0-19-824411-0 |url=https://archive.org/details/emergenceofnorms0024ullm }}{{citation |first=Cristina |last=Bicchieri |author-link=Cristina Bicchieri |title=The Grammar of Society: the Nature and Dynamics of Social Norms |publisher=Cambridge University Press |year=2006 |isbn=978-0-521-57372-6}}Game theory has also challenged philosophers to think in terms of interactive epistemology: what it means for a collective to have common beliefs or knowledge, and what are the consequences of this knowledge for the social outcomes resulting from the interactions of agents. Philosophers who have worked in this area include Bicchieri (1989, 1993),JOURNAL, Self-Refuting Theories of Strategic Interaction: A Paradox of Common Knowledge, Erkenntnis, 30, 1–2, 1989, 69–85, 10.1007/BF00184816, Bicchieri, Cristina, 120848181, Cristina Bicchieri, {{Citation |last1=Bicchieri |first1=Cristina |author1-link=Cristina Bicchieri |title=Rationality and Coordination |publisher=Cambridge University Press |isbn=978-0-521-57444-0 |year=1993}} Skyrms (1990),{{citation |first=Brian |last=Skyrms |author-link=Brian Skyrms |title=The Dynamics of Rational Deliberation |publisher=Harvard University Press |year=1990 |isbn=978-0-674-21885-7}} and Stalnaker (1999).{{citation |chapter=Knowledge, Belief, and Counterfactual Reasoning in Games |editor-first=Cristina |editor-last=Bicchieri |editor-link1=Cristina Bicchieri |editor2-first=Richard |editor2-last=Jeffrey |editor3-first=Brian |editor3-last=Skyrms |title=The Logic of Strategy |location=New York |publisher=Oxford University Press |year=1999 |isbn=978-0-19-511715-8}}The synthesis of game theory with ethics was championed by R. B. Braithwaite.BOOK, Braithwaite, R. B. (Richard Bevan),archive.org/details/theoryofgamesast0000brai, Theory of games as a tool for the moral philosopher. An inaugural lecture delivered in Cambridge on 2 December 1954, 1955, Cambridge [England] University Press, Internet Archive, The hope was that rigorous mathematical analysis of game theory might help formalize the more imprecise philosophical discussions. However, this expectation was only materialized to a limited extent.JOURNAL, Kuhn, Steven T., July 2004, Reflections on Ethics and Game Theory,link.springer.com/10.1023/B:SYNT.0000035846.91195.cb, Synthese, en, 141, 1, 1–44, 10.1023/B:SYNT.0000035846.91195.cb, 0039-7857, In ethics, some (most notably David Gauthier, Gregory Kavka, and Jean Hampton) {{Who|date=July 2012}} authors have attempted to pursue Thomas Hobbes’ project of deriving morality from self-interest. Since games like the prisoner’s dilemma present an apparent conflict between morality and self-interest, explaining why cooperation is required by self-interest is an important component of this project. This general strategy is a component of the general social contract view in political philosophy (for examples, see {{Harvtxt|Gauthier|1986}} and {{Harvtxt|Kavka |1986}}).{{efn|For a more detailed discussion of the use of game theory in ethics, see the Stanford Encyclopedia of Philosophy’s entry game theory and ethics.}}Other authors have attempted to use evolutionary game theory in order to explain the emergence of human attitudes about morality and corresponding animal behaviors. These authors look at several games including the prisoner’s dilemma, stag hunt, and the Nash bargaining game as providing an explanation for the emergence of attitudes about morality (see, e.g., {{harvard citations|txt=yes|last=Skyrms|year=1996|year2=2004}} and {{harvard citations|txt=yes|last1=Sober|last2=Wilson|year=1998}}).

Epidemiology

Since the decision to take a vaccine for a particular disease is often made by individuals, who may consider a range of factors and parameters in making this decision (such as the incidence and prevalence of the disease, perceived and real risks associated with contracting the disease, mortality rate, perceived and real risks associated with vaccination, and financial cost of vaccination), game theory has been used to model and predict vaccination uptake in a society.JOURNAL, Chang, Sheryl L., Piraveenan, Mahendra, Pattison, Philippa, Prokopenko, Mikhail, 2020-01-01, Game theoretic modelling of infectious disease dynamics and intervention methods: a review, Journal of Biological Dynamics, 14, 1, 57–89, 10.1080/17513758.2020.1720322, 1751-3758, 31996099, 58004680, free, 1901.04143, 2020JBioD..14...57C, NEWS,www.nytimes.com/2020/12/20/health/virus-vaccine-game-theory.html,web.archive.org/web/20201220145942/https://www.nytimes.com/2020/12/20/health/virus-vaccine-game-theory.html, 2020-12-20, subscription, live, The Pandemic Is a Prisoner’s Dilemma Game, The New York Times, Siobhan, Roberts, 20 December 2020, 13 September 2021,

Artificial Intelligence and Machine Learning

Game theory has multiple applications in the field of AI/ML. It is often used in developing autonomous systems that can make complex decisions in uncertain environment.JOURNAL, Hanley, John T., 2021-01-01, GAMES, game theory and artificial intelligence, Journal of Defense Analytics and Logistics, 5, 2, 114–130, 10.1108/JDAL-10-2021-0011, 2399-6439, free, Some other areas of application of game theory in AI/ML context are as follows - multi-agent system formation, reinforcement learning,Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. MIT Press, 2024.www.marl-book.com/ mechanism design etc.WEB, Parashar, Nilesh, 2022-08-15, What is Game Theory in AI?,medium.com/@niitwork0921/what-is-game-theory-in-ai-6b7c4c383f03, 2023-04-23, Medium, 23 April 2023,web.archive.org/web/20230423145536/https://medium.com/@niitwork0921/what-is-game-theory-in-ai-6b7c4c383f03, live, By using game theory to model the behavior of other agents and anticipate their actions, AI/ML systems can make better decisions and operate more effectively.JOURNAL, Hazra, Tanmoy, Anjaria, Kushal, 2022-03-01, Applications of game theory in deep learning: a survey,doi.org/10.1007/s11042-022-12153-2, Multimedia Tools and Applications, 81, 6, 8963–8994, 10.1007/s11042-022-12153-2, 1573-7721, 9039031, 35496996,

Well known examples of games

Prisoner’s dilemma

{| class=“wikitable floatright“|+ Standard prisoner’s dilemma payoff matrix! {{diagonal split header|A|B}}! B stayssilent! Bbetrays! A stayssilent

−2	transparent}}	−10	transparent}}

! Abetrays

0	transparent}}	−5	transparent}}

William Poundstone described the game in his 1993 book Prisoner’s Dilemma:{{sfn|Poundstone|1993|pp=8, 117}}Two members of a criminal gang, A and B, are arrested and imprisoned. Each prisoner is in solitary confinement with no means of communication with their partner. The principal charge would lead to a sentence of ten years in prison; however, the police do not have the evidence for a conviction. They plan to sentence both to two years in prison on a lesser charge but offer each prisoner a Faustian bargain: If one of them confesses to the crime of the principal charge, betraying the other, they will be pardoned and free to leave while the other must serve the entirety of the sentence instead of just two years for the lesser charge.The dominant strategy (and therefore the best response to any possible opponent strategy), is to betray the other, which aligns with the sure-thing principle.{{Citation|last=Rapoport|first=Anatol|title=Prisoner’s Dilemma|date=2016|url=https://doi.org/10.1057/978-1-349-95121-5_1850-1|work=The New Palgrave Dictionary of Economics|pages=1–5|place=London|publisher=Palgrave Macmillan UK|doi=10.1057/978-1-349-95121-5_1850-1|isbn=978-1-349-95121-5|access-date=2021-11-29}} However, both prisoners staying silent would yield a greater reward for both of them than mutual betrayal.

Battle of the sexes

The “battle of the sexes” is a term used to describe the perceived conflict between men and women in various areas of life, such as relationships, careers, and social roles. This conflict is often portrayed in popular culture, such as movies and television shows, as a humorous or dramatic competition between the genders. This conflict can be depicted in a game theory framework. This is an example of non-cooperative games.An example of the “battle of the sexes” can be seen in the portrayal of relationships in popular media, where men and women are often depicted as being fundamentally different and in conflict with each other. For instance, in some romantic comedies, the male and female protagonists are shown as having opposing views on love and relationships, and they have to overcome these differences in order to be together.WEB, Battle of the Sexes {{!, History, Participants, & Facts {{!}} Britannica |url=https://www.britannica.com/topic/Battle-of-the-Sexes-tennis |access-date=2023-04-23 |website=www.britannica.com |archive-date=23 April 2023 |archive-url=https://web.archive.org/web/20230423131644www.britannica.com/topic/Battle-of-the-Sexes-tennis |url-status=live }}In this game, there are two pure strategy Nash equilibria: one where both the players choose the same strategy and the other where the players choose different options. If the game is played in mixed strategies, where each player chooses their strategy randomly, then there is an infinite number of Nash equilibria. However, in the context of the “battle of the sexes” game, the assumption is usually made that the game is played in pure strategies.WEB, Athenarium, 2020-08-12, Battle of the Sexes – Nash equilibrium in mixed strategies for coordination,athenarium.com/battle-of-the-sexes-mixed-strategies/, 2023-04-23, Athenarium, 23 April 2023,web.archive.org/web/20230423144200/https://athenarium.com/battle-of-the-sexes-mixed-strategies/, live,

Ultimatum game

The ultimatum game is a game that has become a popular instrument of economic experiments. An early description is by Nobel laureate John Harsanyi in 1961.JOURNAL, Harsanyi, John C., On the Rationality Postulates underlying the Theory of Cooperative Games, The Journal of Conflict Resolution, 1961, 5, 2, 179–196, 10.1177/002200276100500205, 220642229,journals-sagepub-com.proxyiub.uits.iu.edu/doi/pdf/10.1177/002200276100500205, One player, the proposer, is endowed with a sum of money. The proposer is tasked with splitting it with another player, the responder (who knows what the total sum is). Once the proposer communicates his decision, the responder may accept it or reject it. If the responder accepts, the money is split per the proposal; if the responder rejects, both players receive nothing. Both players know in advance the consequences of the responder accepting or rejecting the offer. The game demonstrates how social acceptance, fairness, and generosity influence the players decisions.WEB, Ultimatum Game,www.sciencedirect.com/topics/neuroscience/ultimatum-game, Ultimatum Game – an overview ScienceDirect Topics, 20 April 2023, 20 April 2023,web.archive.org/web/20230420133929/https://www.sciencedirect.com/topics/neuroscience/ultimatum-game, live, Ultimatum game has a variant, that is the dictator game. They are mostly identical, except in dictator game the responder has no power to reject the proposer’s offer.

Trust game

The Trust Game is an experiment designed to measure trust in economic decisions. It is also called “the investment game” and is designed to investigate trust and demonstrate its importance rather than “rationality” of self-interest. The game was designed by Berg Joyce, John Dickhaut and Kevin McCabe in 1995.JOURNAL, Games and Economic Behavior, Trust, Reciprocity, and Social History, 1995, Berg, Joyce, John, Dickhaut, Kevin, McCabe, In the game, one player (the investor) is given a sum of money and must decide how much of it to give to another player (the trustee). The amount given is then tripled by the experimenter. The trustee then decides how much of the tripled amount to return to the investor. If the recipient is completely self interested, then he/she should return nothing. However that is not true as the experiment conduct. The outcome suggest that people are willing to place a trust, by risking some amount of money, in the belief that there would be reciprocity.JOURNAL, Johnson, Noel D., Mislin, Alexandra A., 2011-10-01, Trust games: A meta-analysis,www.sciencedirect.com/science/article/pii/S0167487011000869, Journal of Economic Psychology, 32, 5, 865–889, 10.1016/j.joep.2011.05.007, 0167-4870,

Cournot Competition

The Cournot competition model involves players choosing quantity of a homogenous product to produce independently and simultaneously, where marginal cost can be different for each firm and the firm’s payoff is profit. The production costs are public information and the firm aims to find their profit-maximizing quantity based on what they believe the other firm will produce and behave like monopolies. In this game firms want to produce at the monopoly quantity but there is a high incentive to deviate and produce more, which decreases the market-clearing price.BOOK, Gibbons, Robert, Game Theory for Applied Economists, Princeton University Press, 1992, 0-691-04308-6, Princeton, New Jersey, 14–17, For example, firms may be tempted to deviate from the monopoly quantity if there is a low monopoly quantity and high price, with the aim of increasing production to maximize profit. However this option does not provide the highest payoff, as a firm’s ability to maximize profits depends on its market share and the elasticity of the market demand.WEB, 18 April 2013, Cournot (Nash) Equilibrium,stats.oecd.org/glossary/detail.asp?ID=3183, 20 April 2021, OECD, 23 May 2021,web.archive.org/web/20210523222914/https://stats.oecd.org/glossary/detail.asp?ID=3183, live, The Cournot equilibrium is reached when each firm operates on their reaction function with no incentive to deviate, as they have the best response based on the other firms output. Within the game, firms reach the Nash equilibrium when the Cournot equilibrium is achieved. (File:Cournot Duopoly Nash equilibrium.png|thumb|Equilibrium for Cournot quantity competition)

Bertrand Competition

The Bertrand competition assumes homogenous products and a constant marginal cost and players choose the prices. The equilibrium of price competition is where the price is equal to marginal costs, assuming complete information about the competitors’ costs. Therefore, the firms have an incentive to deviate from the equilibrium because a homogenous product with a lower price will gain all of the market share, known as a cost advantage.JOURNAL, Spulber, Daniel, March 1995, Bertrand Competition when Rivals’ Costs are Unknown,www.jstor.org/stable/2950422, The Journal of Industrial Economics, 43, 1, 1–11, 10.2307/2950422, 2950422, JSTOR, 25 April 2021, 25 April 2021,web.archive.org/web/20210425130449/https://www.jstor.org/stable/2950422, live,

In popular culture

• Based on the 1998 book by Sylvia Nasar,Nasar, Sylvia (1998) A Beautiful Mind, Simon & Schuster. {{isbn|0-684-81906-6}}. the life story of game theorist and mathematician John Nash was turned into the 2001 biopic A Beautiful Mind, starring Russell Crowe as Nash.Singh, Simon (14 June 1998) “Between Genius and Madness” {{Webarchive|url=https://web.archive.org/web/20170409003454www.nytimes.com/books/98/06/14/reviews/980614.14singht.html |date=9 April 2017 }}, New York Times.
• The 1959 military science fiction novel Starship Troopers by Robert A. Heinlein mentioned “games theory” and “theory of games”.{{citation |last=Heinlein |first=Robert A. |title=Starship Troopers |year=1959}} In the 1997 film of the same name, the character Carl Jenkins referred to his military intelligence assignment as being assigned to “games and theory”.
• The 1964 film Dr. Strangelove satirizes game theoretic ideas about deterrence theory. For example, nuclear deterrence depends on the threat to retaliate catastrophically if a nuclear attack is detected. A game theorist might argue that such threats can fail to be credible, in the sense that they can lead to subgame imperfect equilibria. The movie takes this idea one step further, with the Soviet Union irrevocably committing to a catastrophic nuclear response without making the threat public.AV MEDIA,archive.org/details/DRStrangelove_20130616, Dr. Strangelove Or How I Learned to Stop Worrying and Love the Bomb, 1964-01-29, 51, ... is that the whole point of the doomsday machine is lost, if you keep it a secret!,
• The 1980s power pop band Game Theory was founded by singer/songwriter Scott Miller, who described the band’s name as alluding to “the study of calculating the most appropriate action given an adversary{{nbsp}}... to give yourself the minimum amount of failure”.NEWS, Guzman, Rafer, Star on hold: Faithful following, meager sales, 6 March 1996, Pacific Sun (newspaper), Pacific Sun,www.loudfamily.com/old/intpacsun.html, 25 July 2018,www.loudfamily.com/old/intpacsun.html," title="web.archive.org/web/20131106223809www.loudfamily.com/old/intpacsun.html,">web.archive.org/web/20131106223809www.loudfamily.com/old/intpacsun.html, 6 November 2013, dead, dmy-all, .{{cbignore}}
• Liar Game, a 2005 Japanese manga and 2007 television series, presents the main characters in each episode with a game or problem that is typically drawn from game theory, as demonstrated by the strategies applied by the characters.WEB, Liar Game (manga) – Anime News Network,www.animenewsnetwork.com/encyclopedia/manga.php?id=8178, 2022-11-25, www.animenewsnetwork.com, 25 November 2022,web.archive.org/web/20221125140852/https://www.animenewsnetwork.com/encyclopedia/manga.php?id=8178, live,
• The 1974 novel Spy Story by Len Deighton explores elements of game theory in regard to cold war army exercises.
• The 2008 novel The Dark Forest by Liu Cixin explores the relationship between extraterrestrial life, humanity, and game theory.
• The prime antagonist Joker in the movie The Dark Knight presents game theory concepts—notably the prisoner’s dilemma in a scene where he asks passengers in two different ferries to bomb the other one to save their own.
• In the 2018 film Crazy Rich Asians, the female lead Rachel Chu is a professor of economics and game theory at New York University. At the beginning of the film she is seen in her NYU classroom playing a game of poker with her teaching assistant and wins the game by bluffing;WEB,www.pokernews.com/news/2018/08/poker-and-game-theory-featured-in-hit-film-crazy-rich-asians-31847.htm, Poker and Game Theory Featured in Hit Film ‘Crazy Rich Asians’, Chaffin, Sean, August 20, 2018, PokerNews.com, 5 November 2022, 5 November 2022,web.archive.org/web/20221105190628/https://www.pokernews.com/news/2018/08/poker-and-game-theory-featured-in-hit-film-crazy-rich-asians-31847.htm, live, then in the climax of the film, she plays a game of mahjong with her boyfriend’s disapproving mother Eleanor, losing the game to Eleanor on purpose but winning her approval as a result.WEB,filmcolossus.com/crazy-rich-asians-game-theory/, Game theory in Crazy Rich Asians: explaining the Mahjong showdown between Rachel and Eleanor, Bean, Travis, 8 February 2019, Colossus, 5 November 2022, 5 November 2022,web.archive.org/web/20221105190628/https://filmcolossus.com/crazy-rich-asians-game-theory/, live,
• In the 2017 film Molly’s Game, Brad who is inexperienced poker player, makes an irrational betting decision without realising and causes his opponent Harlan to deviate from his Nash Equilibrium strategy, resulting in a significant loss when Harlan loses the hand.WEB, An Analysis of the Applications of Networks in “Molly’s Game” : Networks Course blog for INFO 2040/CS 2850/Econ 2040/SOC 2090,blogs.cornell.edu/info2040/2022/10/25/an-analysis-of-the-applications-of-networks-in-mollys-game/, 2023-04-08, 8 April 2023,web.archive.org/web/20230408025922/https://blogs.cornell.edu/info2040/2022/10/25/an-analysis-of-the-applications-of-networks-in-mollys-game/, live,

See also

• {{Annotated link|Applied ethics}}
• {{Annotated link|Bandwidth-sharing game}}
• {{Annotated link|Chainstore paradox}}
• {{Annotated link|Collective intentionality}}
• {{Annotated link|Core (game theory)}}
• {{Annotated link|Glossary of game theory}}
• {{Annotated link|Intra-household bargaining}}
• {{Annotated link|Kingmaker scenario}}
• {{Annotated link|Law and economics}}
• {{Annotated link|Mutual assured destruction}}
• {{Annotated link|Outline of artificial intelligence}}
• {{Annotated link|Parrondo’s paradox}}
• {{Annotated link|Precautionary principle}}
• {{Annotated link|Quantum refereed game}}
• {{Annotated link|Risk management}}
• {{Annotated link|Self-confirming equilibrium}}
• {{Annotated link|Tragedy of the commons}}
• {{Annotated link|Traveler’s dilemma}}
• {{Annotated link|Wilson doctrine (economics)}}
• Compositional game theory

Lists

• List of cognitive biases
• List of emerging technologies
• List of games in game theory

Notes

{{notelist}}

References

{{Reflist}}

Further reading

{{Commons category}}

Textbooks and general literature

• {{citation |first=Robert J |last=Aumann |author-link=Robert Aumann |year=1987 |contribution=game theory |title=The New Palgrave: A Dictionary of Economics |volume=2 |pages=460–82|title-link=The New Palgrave: A Dictionary of Economics }}.
• {{Citation |last=Camerer |first=Colin |author-link=Colin Camerer |title=Behavioral Game Theory: Experiments in Strategic Interaction |publisher=Russell Sage Foundation |isbn=978-0-691-09039-9 |year=2003 |chapter-url=http://press.princeton.edu/chapters/i7517.html |chapter=Introduction |pages=1–25 |access-date=9 February 2011 |archive-date=14 May 2011 |archive-url=https://web.archive.org/web/20110514201411press.princeton.edu/chapters/i7517.html |url-status=dead }}, Description.
• {{Citation |last=Dutta |first=Prajit K. |title=Strategies and games: theory and practice |publisher=MIT Press |isbn=978-0-262-04169-0 |year=1999}}. Suitable for undergraduate and business students.
• {{Citation |last1=Fernandez |first1=L F. |last2=Bierman |first2=H S. |title=Game theory with economic applications |publisher=Addison-Wesley |isbn=978-0-201-84758-1 |year=1998}}. Suitable for upper-level undergraduates.
• BOOK, Fisher, Sir Ronald Aylmer, The Genetical Theory of Natural Selection, 1930, Clarendon Press,books.google.com/books?id=t3jwAAAAMAAJ,
• BOOK, Gaffal, Margit, Padilla Gálvez, Jesús, Dynamics of Rational Negotiation: Game Theory, Language Games and Forms of Life, 2014, Springer,
• {{Citation |last=Gibbons |first=Robert D. |title=Game theory for applied economists |publisher=Princeton University Press |isbn=978-0-691-00395-5 |year=1992}}. Suitable for advanced undergraduates.
  • Published in Europe as {{Citation |title=A Primer in Game Theory |publisher=Harvester Wheatsheaf |isbn=978-0-7450-1159-2 |location=London |first=Robert |last=Gibbons |year=2001}}.
• {{Citation |last=Gintis |first=Herbert |title=Game theory evolving: a problem-centered introduction to modeling strategic behavior |publisher=Princeton University Press |isbn=978-0-691-00943-8 |year=2000}}
• {{Citation |last1=Green |first1=Jerry R. |last2=Mas-Colell |first2=Andreu |author2-link=Andreu Mas-Colell |last3=Whinston |first3=Michael D. |title=Microeconomic theory |publisher=Oxford University Press |isbn=978-0-19-507340-9 |year=1995}}. Presents game theory in formal way suitable for graduate level.
• Joseph E. Harrington (2008) Games, strategies, and decision making, Worth, {{isbn|0-7167-6630-2}}. Textbook suitable for undergraduates in applied fields; numerous examples, fewer formalisms in concept presentation.
• {{Citation |last=Howard |first=Nigel |title=Paradoxes of Rationality: Games, Metagames, and Political Behavior |publisher=The MIT Press |year=1971 |location=Cambridge, MA |isbn=978-0-262-58237-7}}
• {{Citation |last=Isaacs |first=Rufus |author-link=Rufus Isaacs (game theorist) |title=Differential Games: A Mathematical Theory With Applications to Warfare and Pursuit, Control and Optimization |publisher=Dover Publications |location=New York |isbn=978-0-486-40682-4 |year=1999}}
• BOOK, Kavka, Gregory S., Hobbesian Moral and Political Theory, 1986, Princeton University Press, 978-0-691-02765-4,books.google.com/books?id=02yWOXl2XfIC,
• Maschler, Michael; Solan, Eilon; Zamir, Shmuel (2013), Game Theory, Cambridge University Press, {{ISBN|978-1-108-49345-1}}. Undergraduate textbook.
• {{Citation |last=Miller |first=James H. |title=Game theory at work: how to use game theory to outthink and outmaneuver your competition |publisher=McGraw-Hill |location=New York |isbn=978-0-07-140020-6 |year=2003}}. Suitable for a general audience.
• {{Citation |last=Osborne |first=Martin J. |title=An introduction to game theory |publisher=Oxford University Press |isbn=978-0-19-512895-6 |year=2004}}. Undergraduate textbook.
• BOOK, Poundstone, William, Prisoner’s Dilemma, 1993, Anchor, New York, 0-385-41580-X, 1st Anchor Books,archive.org/details/prisonersdilemma00poun,
• {{Citation |last2=Rubinstein |first2=Ariel |author2-link=Ariel Rubinstein |last1=Osborne |first1=Martin J. |title=A course in game theory |publisher=MIT Press |isbn=978-0-262-65040-3 |year=1994}}. A modern introduction at the graduate level.
• {{Citation |last1=Shoham |first1=Yoav |last2=Leyton-Brown |first2=Kevin |title=Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations |publisher=Cambridge University Press |isbn=978-0-521-89943-7 |url=http://www.masfoundations.org/download.html |year=2009 |location=New York |access-date=8 March 2016}}
• {{Citation |last1=Watson |first1=Joel |title=Strategy: An Introduction to Game Theory (3rd edition) |publisher=W.W. Norton and Co. |isbn=978-0-393-91838-0 |url=https://wwnorton.com/books/Strategy/ |year=2013 |location=New York}}. A leading textbook at the advanced undergraduate level.
• {{Citation |title=Roger McCain’s Game Theory: A Nontechnical Introduction to the Analysis of Strategy |url=https://books.google.com/books?id=Pyu9iwYDxEIC |isbn=978-981-4289-65-8|edition=Revised|last1=McCain|first1=Roger A.|year=2010| publisher=World Scientific }}{{cbignore|bot=medic}}
• {{Citation |last=Webb |first=James N. |year=2007 |title=Game theory: decisions, interaction and evolution |series=Undergraduate mathematics |publisher=Springer |isbn=978-1-84628-423-6}} Consistent treatment of game types usually claimed by different applied fields, e.g. Markov decision processes.

Historically important texts

• {{Citation |author-link1=Robert Aumann |last1=Aumann |first1=R. J. |author-link2=Lloyd Shapley |last2=Shapley |first2=L. S. |year=1974 |title=Values of Non-Atomic Games |publisher=Princeton University Press}}
• {{Citation |last1=Cournot |first1=A. Augustin |author1-link=Antoine Augustin Cournot |title=Recherches sur les principles mathematiques de la théorie des richesses |year=1838 |journal=Libraire des Sciences Politiques et Sociales}}
• {{Citation |last1=Edgeworth |first1=Francis Y. |author1-link=Francis Ysidro Edgeworth |title=Mathematical Psychics |publisher=Kegan Paul |location=London |year=1881|url=https://books.google.com/books?id=CElYAAAAcAAJ}}
• {{Citation |title=Theory of Voting |first=Robin |last=Farquharson |author-link=Robin Farquharson |publisher=Blackwell (Yale U.P. in the U.S.) |year=1969 |isbn=978-0-631-12460-3}}

• {{Citation |last1=Luce |first1=R. Duncan |author1-link=R. Duncan Luce |last2=Raiffa |first2=Howard |author2-link=Howard Raiffa |title=Games and decisions: introduction and critical survey |publisher=Wiley |location=New York |year=1957}}

• {{Citation |last1=Maynard Smith |first1=John |author1-link=John Maynard Smith |title=Evolution and the theory of games |publisher=Cambridge University Press |isbn=978-0-521-28884-2 |year=1982|title-link=Evolution and the Theory of Games }}
• {{Citation |last1=Maynard Smith |first1=John |author1-link=John Maynard Smith |first2=George R. |last2=Price |s2cid=4224989 |author2-link=George R. Price |title=The logic of animal conflict |year=1973 |journal=Nature |volume=246 |issue=5427 |pages=15–18 |doi=10.1038/246015a0 |bibcode=1973Natur.246...15S}}
• {{Citation |last1=Nash |first1=John |author1-link=John Forbes Nash |title=Equilibrium points in n-person games |year=1950 |journal=Proceedings of the National Academy of Sciences of the United States of America |volume=36 |issue=1 |pages=48–49 |doi=10.1073/pnas.36.1.48 |pmc=1063129 |pmid=16588946 |bibcode=1950PNAS...36...48N|doi-access=free }}
• Shapley, L.S. (1953), A Value for n-person Games, In: Contributions to the Theory of Games volume II, H. W. Kuhn and A. W. Tucker (eds.)
• Shapley, L.S. (1953), Stochastic Games, Proceedings of National Academy of Science Vol. 39, pp. 1095–1100.
• {{Citation |last1=von Neumann |first1=John |title=Zur Theorie der Gesellschaftsspiele |year=1928 |journal=Mathematische Annalen |volume=100 |issue=1 |pages=295–320 |doi=10.1007/bf01448847|s2cid=122961988 }} English translation: “On the Theory of Games of Strategy,” in A. W. Tucker and R. D. Luce, ed. (1959), Contributions to the Theory of Games, v. 4, p. 42. Princeton University Press.
• {{Citation |last1=von Neumann |first1=John |author1-link=John von Neumann |last2=Morgenstern |first2=Oskar |author2-link=Oskar Morgenstern |title=Theory of games and economic behavior |journal=Nature |volume=157 |issue=3981 |pages=172 |publisher=Princeton University Press |year=1944|title-link=Theory of games and economic behavior |bibcode=1946Natur.157..172R |doi=10.1038/157172a0 |s2cid=29754824 }}
• {{Citation |last1=Zermelo |first1=Ernst |author1-link=Ernst Zermelo |title=Ãœber eine Anwendung der Mengenlehre auf die Theorie des Schachspiels |year=1913 |journal=Proceedings of the Fifth International Congress of Mathematicians |volume=2 |pages=501–4}}

Other material

• {{Citation |last1=Ben David |first1=S. |last2=Borodin |first2=Allan |author2-link=Allan Borodin |last3=Karp |first3=Richard |author3-link=Richard Karp |last4=Tardos |first4=G. |last5=Wigderson |first5=A. |author5-link=Avi Wigderson |title=On the Power of Randomization in On-line Algorithms |url=http://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/BORODIN/paper.pdf |archive-url=https://web.archive.org/web/20040906122401www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/BORODIN/paper.pdf |archive-date=2004-09-06 |url-status=live |journal=Algorithmica |volume=11 |pages=2–14 |year=1994 |doi=10.1007/BF01294260 |issue=1|s2cid=26771869 }}
• {{Citation |last1=Downs |first1=Anthony |author1-link=Anthony Downs |title=An Economic theory of Democracy |title-link=An Economic Theory of Democracy |publisher=Harper |location=New York |year=1957}}
• {{Citation |last1=Gauthier |first1=David |author1-link=David Gauthier |title=Morals by agreement |publisher=Oxford University Press |isbn=978-0-19-824992-4 |year=1986}}
• Allan Gibbard, “Manipulation of voting schemes: a general result”, Econometrica, Vol. 41, No. 4 (1973), pp. 587–601.
• {{Citation |last1=Grim |first1=Patrick |last2=Kokalis |first2=Trina |last3=Alai-Tafti |first3=Ali |last4=Kilb |first4=Nicholas |last5=St Denis |first5=Paul |title=Making meaning happen |year=2004 |journal=Journal of Experimental & Theoretical Artificial Intelligence |volume=16 |issue=4 |pages=209–243 |doi=10.1080/09528130412331294715|s2cid=5737352 }}
• {{Citation |last1=Harper |first1=David |author1-link=David Harper (biologist) |last2=Maynard Smith |first2=John |author2-link=John Maynard Smith |title=Animal signals |publisher=Oxford University Press |isbn=978-0-19-852685-8 |year=2003}}
• {{Citation |last1=Lewis |first1=David |author1-link=David Kellogg Lewis |title=Convention: A Philosophical Study |year=1969}}, {{isbn|978-0-631-23257-5}} (2002 edition)
• {{Citation |last1=McDonald |first1=John |title=Strategy in Poker, Business & War |publisher=W. W. Norton |isbn=978-0-393-31457-1 |year=1950–1996}}. A layman’s introduction.
• {{Citation |last1=Papayoanou |first1=Paul |title=Game Theory for Business: A Primer in Strategic Gaming |publisher=Probabilistic |isbn=978-0-9647938-7-3 |year=2010}}.
• {{Citation |last1=Quine |first1=W.v.O |author1-link=Willard Van Orman Quine |title=Philosophica Essays for A.N. Whitehead |publisher=Russel and Russel Publishers |isbn=978-0-8462-0970-6 |year=1967 |chapter=Truth by Convention}}
• {{Citation |last1=Quine |first1=W.v.O |s2cid=46979744 |author1-link=Willard Van Orman Quine |title=Carnap and Logical Truth |year=1960 |journal=Synthese |volume=12 |issue=4 |pages=350–374 |doi=10.1007/BF00485423}}
• {{Citation |last1=Satterthwaite |first1=Mark A. |title=Strategy-proofness and Arrow’s Conditions: Existence and Correspondence Theorems for Voting Procedures and Social Welfare Functions |journal=Journal of Economic Theory |volume=10 |date=April 1975 |issue=2 |pages=187–217|doi=10.1016/0022-0531(75)90050-2 |url=http://www.kellogg.northwestern.edu/research/math/papers/122.pdf |archive-url=https://web.archive.org/web/20060216070553www.kellogg.northwestern.edu/research/math/papers/122.pdf |archive-date=2006-02-16 |url-status=live }}
• {{Citation |last1=Siegfried |first1=Tom |title=A Beautiful Math |publisher=Joseph Henry Press |isbn=978-0-309-10192-9 |year=2006}}
• {{Citation |last1=Skyrms |first1=Brian |author1-link=Brian Skyrms |title=The Dynamics of Rational Deliberation |publisher=Harvard University Press |isbn=978-0-674-21885-7 |year=1990}}
• {{Citation |last1=Skyrms |first1=Brian |title=Evolution of the social contract |publisher=Cambridge University Press |isbn=978-0-521-55583-8 |year=1996}}
• {{Citation |last1=Skyrms |first1=Brian |title=The stag hunt and the evolution of social structure |publisher=Cambridge University Press |isbn=978-0-521-53392-8 |year=2004}}
• {{Citation |last1=Sober |first1=Elliott |last2=Wilson |first2=David Sloan |title=Unto others: the evolution and psychology of unselfish behavior |publisher=Harvard University Press |isbn=978-0-674-93047-6 |year=1998}}
• {{Citation |last1=Thrall |first1=Robert M. |author-link=Robert M. Thrall |last2=Lucas |first2=William F. |title=n-person games in partition function form |journal=Naval Research Logistics Quarterly |volume=10 |issue=4 |pages=281–298 |year=1963 |doi=10.1002/nav.3800100126}}
• {{Citation |last1=Dolev |first1=Shlomi |first2=Panagiota |last2=Panagopoulou |first3=Mikael |last3=Rabie |first4=Elad Michael |last4=Schiller |first5=Paul |last5=Spirakis |chapter=Rationality authority for provable rational behavior |title=Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing |year=2011 |pages=289–290 |doi=10.1145/1993806.1993858 |isbn=978-1-4503-0719-2|s2cid=8974307 |chapter-url=https://research.chalmers.se/en/publication/230780 |url=http://publications.lib.chalmers.se/publication/230780-rationality-authority-for-provable-rational-behavior }}
• {{citation | last1 = Chastain | first1 = Erick | last2 = Livnat | first2 = Adi | last3 = Papadimitriou | first3 = Christos | author3-link = Christos Papadimitriou | last4 = Vazirani | first4 = Umesh | author4-link = Umesh Vazirani | bibcode = 2014PNAS..11110620C | date = June 2014 | doi = 10.1073/pnas.1406556111 | doi-access = free | issue = 29 | journal = Proceedings of the National Academy of Sciences of the United States of America | pages = 10620–10623 | pmc = 4115542 | title = Algorithms, games, and evolution | volume = 111| pmid = 24979793 }}

External links

{{Wiktionary|game theory}}{{Wikiversity|Game Theory}}

• James Miller (2015): Introductory Game Theory Videos.
• {{springer|title=Games, theory of|id=p/g043280}}
• Paul Walker: www.economics.harvard.edu/~aroth/alroth.html" title="web.archive.org/web/20000815223335www.economics.harvard.edu/~aroth/alroth.html">History of Game Theory Page.
• David Levine: Game Theory. Papers, Lecture Notes and much more stuff.
• Alvin Roth:WEB,www.economics.harvard.edu/~aroth/alroth.html, Game Theory and Experimental Economics page, 13 September 2003, dead,www.economics.harvard.edu/~aroth/alroth.html," title="web.archive.org/web/20000815223335www.economics.harvard.edu/~aroth/alroth.html,">web.archive.org/web/20000815223335www.economics.harvard.edu/~aroth/alroth.html, 15 August 2000, dmy, — Comprehensive list of links to game theory information on the Web
• Adam Kalai: wiki.cc.gatech.edu/theory/index.php/CS_8803_-_Game_Theory_and_Computer_Science._Spring_2008" title="web.archive.org/web/20080416035356wiki.cc.gatech.edu/theory/index.php/CS_8803_-_Game_Theory_and_Computer_Science._Spring_2008">Game Theory and Computer Science — Lecture notes on Game Theory and Computer Science
• Mike Shor: GameTheory.net — Lecture notes, interactive illustrations and other information.
• Jim Ratliff’s Graduate Course in Game Theory (lecture notes).
• Don Ross: Review Of Game Theory in the Stanford Encyclopedia of Philosophy.
• Bruno Verbeek and Christopher Morris: Game Theory and Ethics
• Elmer G. Wiens: Game Theory — Introduction, worked examples, play online two-person zero-sum games.
• Marek M. Kaminski: Game Theory and Politics {{Webarchive|url=https://web.archive.org/web/20061020072523webfiles.uci.edu/mkaminsk/www/courses.html |date=20 October 2006 }} — Syllabuses and lecture notes for game theory and political science.
• Websites on game theory and social interactions
• Kesten Green’s {{webarchive |url=https://web.archive.org/web/20110411143752conflictforecasting.com/ |date=11 April 2011 |title=Conflict Forecasting }} — See Papers for evidence on the accuracy of forecasts from game theory and other methods {{Webarchive|url=https://web.archive.org/web/20190915052113www.decisionworkshops.com//graphs-of-findings/4553562008 |date=15 September 2019 }}.
• McKelvey, Richard D., McLennan, Andrew M., and Turocy, Theodore L. (2007) Gambit: Software Tools for Game Theory.
• Benjamin Polak: Open Course on Game Theory at Yale {{Webarchive|url=https://web.archive.org/web/20100803224320oyc.yale.edu/economics/game-theory |date=3 August 2010 }} videos of the course
• Benjamin Moritz, Bernhard Könsgen, Danny Bures, Ronni Wiersch, (2007) www.spieltheorie-software.de/" title="web.archive.org/web/20130718133141www.spieltheorie-software.de/">Spieltheorie-Software.de: An application for Game Theory implemented in JAVA.
• Antonin Kucera: Stochastic Two-Player Games.
• Yu-Chi Ho: What is Mathematical Game Theory; What is Mathematical Game Theory (2); What is Mathematical Game Theory (3); What is Mathematical Game Theory (4)-Many person game theory; What is Mathematical Game Theory ?( 5) – Finale, summing up, and my own view

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