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{{Other uses}}{{About||the human faculty of thinking and understanding|Intellect|human intelligence|Human intelligence}}Intelligence has been defined in many ways, including: the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem solving. More generally, it can be described as the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.Intelligence is most often studied in humans but has also been observed in both non-human animals and in plants. Intelligence in machines is called artificial intelligence, which is commonly implemented in computer systems using programs and, sometimes, appropriate hardware.{{TOC limit|limit=3}}

History of the term

"(wikt:intelligence#English|Intelligence)" derives from the Latin nouns (wikt:intelligentia|intelligentia) or (wikt:intellectus|intellēctus), which in turn stem from the verb (wikt:intelligere|intelligere), to comprehend or perceive. In the Middle Ages, the word intellectus became the scholarly technical term for understanding, and a translation for the Greek philosophical term nous. This term, however, was strongly linked to the metaphysical and cosmological theories of teleological scholasticism, including theories of the immortality of the soul, and the concept of the Active Intellect (also known as the Active Intelligence). This entire approach to the study of nature was strongly rejected by the early modern philosophers such as Francis Bacon, Thomas Hobbes, John Locke, and David Hume, all of whom preferred the word "understanding" (in place of "intellectus" or "intelligence") in their English philosophical works.JOURNAL, Maich, 305, A Hobbes Dictionary, Aloysius, Blackwell, 1995, BOOK, Nidditch, Peter, Foreword, xxii, Oxford University Press, An Essay Concerning Human Understanding, Hobbes for example, in his Latin De Corpore, used "intellectus intelligit", translated in the English version as "the understanding understandeth", as a typical example of a logical absurdity.WEB,weblinkweblink" title="">weblink y, Opera philosophica quæ latine scripsit omnia, in unum corpus nunc primum collecta studio et labore Gulielmi Molesworth .., Thomas, Hobbes, William, Molesworth, 15 February 1839, 5 November 2013, Londoni, apud Joannem Bohn, Internet Archive, The term "intelligence" has therefore become less common in English language philosophy, but it has later been taken up (with the scholastic theories which it now implies) in more contemporary psychology.This paragraph almost verbatim from BOOK, Goldstein, Sam, Princiotta, Dana, Naglieri, Jack A., Eds., Handbook of Intelligence: Evolutionary Theory, Historical Perspective, and Current Concepts, 2015, Springer, New York, Heidelberg, Dordrecht, London, 978-1-4939-1561-3, 3,


The definition of intelligence is controversial.BOOK
, S. Legg, M. Hutter, A Collection of Definitions of Intelligence
, Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms
, 157
, 17–24
,weblink! style="width:140px;"| Researcher! Quotation| Alfred Binet| David Wechsler| Lloyd Humphreys|Howard Gardner|Linda Gottfredson|Robert Sternberg & William Salter|Reuven Feuerstein|The theory of Structural Cognitive Modifiability describes intelligence as "the unique propensity of human beings to change or modify the structure of their cognitive functioning to adapt to the changing demands of a life situation".Feuerstein, R., Feuerstein, S., Falik, L & Rand, Y. (1979; 2002). Dynamic assessments of cognitive modifiability. ICELP Press, Jerusalem: Israel; Feuerstein, R. (1990). The theory of structural modifiability. In B. Presseisen (Ed.), Learning and thinking styles: Classroom interaction. Washington, DC: National Education Associations|Shane Legg & Marcus Hutter| A synthesis of 70+ definitions from psychology, philosophy, and AI researchers: "Intelligence measures an agent's ability to achieve goals in a wide range of environments", which has been mathematically formalized.JOURNAL
, S. Legg, M. Hutter, Universal Intelligence: A Definition of Machine Intelligence
, 17
, 4
, Minds and Machines
, 391–444
, 2007
, 10.1007/s11023-007-9079-x
|Alexander Wissner-Gross
year=2007, Some groups of psychologists have suggested the following definitions:From "Mainstream Science on Intelligence" (1994), an op-ed statement in the Wall Street Journal signed by fifty-two researchers (out of 131 total invited to sign):{{harvnb|Gottfredson|1997777|pp=17–20}}}}From (Intelligence: Knowns and Unknowns) (1995), a report published by the Board of Scientific Affairs of the American Psychological Association:}}Besides those definitions, psychology and learning researchers also have suggested definitions of intelligence such as:{| class="wikitable"
CHAPTER=NEW METHODS FOR THE DIAGNOSIS OF THE INTELLECTUAL LEVEL OF SUBNORMALS OTHERS=E.S. KITE (TRANS.) PUBLISHER=WILLIAMS & WILKINS ORIGYEAR=1905 CHAPTERURL=HTTP://PSYCHCLASSICS.ASU.EDU/BINET/BINET1.HTM, originally published as Méthodes nouvelles pour le diagnostic du niveau intellectuel des anormaux. L'Année Psychologique, 11, 191–244,
problem solving — enabling the individual to resolve genuine problems or difficulties that he or she encounters and, when appropriate, to create an effective product — and must also entail the potential for finding or creating problems — and thereby laying the groundwork for the acquisition of new knowledge.FRAMES OF MIND: THE THEORY OF MULTIPLE INTELLIGENCES LOCATION=NEW YORK ISBN=978-0-465-02510-7 AUTHORMASK=GARDNER, HOWARD,weblink
PUBLISHER=TED.COM ACCESSDATE=2016-09-07 ARCHIVEURL=HTTPS://WEB.ARCHIVE.ORG/WEB/20160904234706/HTTP://WWW.TED.COM/TALKS/ALEX_WISSNER_GROSS_A_NEW_EQUATION_FOR_INTELLIGENCE, 4 September 2016, "Intelligence is a force, F, that acts so as to maximize future freedom of action. It acts to maximize future freedom of action, or keep options open, with some strength T, with the diversity of possible accessible futures, S, up to some future time horizon, Ï„. In short, intelligence doesn't like to get trapped".

Human intelligence

Human intelligence is the intellectual power of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness.BOOK, Tirri, Nokelainen, Measuring Multiple Intelligences and Moral Sensitivities in Education, Springer, 978-94-6091-758-5,weblink no,weblink" title="">weblink 2 August 2017, 2011, Moral Development and Citizenship Education, Intelligence enables humans to remember descriptions of things and use those descriptions in future behaviors. It is a cognitive process. It gives humans the cognitive abilities to learn, form concepts, understand, and reason, including the capacities to recognize patterns, comprehend ideas, plan, solve problems, and use language to communicate. Intelligence enables humans to experience and think.Much of the above definition applies also to the intelligence of non-human animals.

Cultural influences on the interpretation of human intelligence

In animals

File:Chimpanzee and stick.jpg|250px|thumb|right|The common chimpanzee can use tools. This chimpanzee is using a stick to get food.]]Although humans have been the primary focus of intelligence researchers, scientists have also attempted to investigate animal intelligence, or more broadly, animal cognition. These researchers are interested in studying both mental ability in a particular species, and comparing abilities between species. They study various measures of problem solving, as well as numerical and verbal reasoning abilities. Some challenges in this area are defining intelligence so that it has the same meaning across species (e.g. comparing intelligence between literate humans and illiterate animals), and also operationalizing a measure that accurately compares mental ability across different species and contexts.Wolfgang Köhler's research on the intelligence of apes is an example of research in this area. Stanley Coren's book, The Intelligence of Dogs is a notable book on the topic of dog intelligence.BOOK, Coren, Stanley, The Intelligence of Dogs, Bantam Books, 978-0-553-37452-0, 1995, 30700778,weblink (See also: Dog intelligence.) Non-human animals particularly noted and studied for their intelligence include chimpanzees, bonobos (notably the language-using Kanzi) and other great apes, dolphins, elephants and to some extent parrots, rats and ravens.Cephalopod intelligence also provides important comparative study. Cephalopods appear to exhibit characteristics of significant intelligence, yet their nervous systems differ radically from those of backboned animals. Vertebrates such as mammals, birds, reptiles and fish have shown a fairly high degree of intellect that varies according to each species. The same is true with arthropods.

g factor in non-humans

Evidence of a general factor of intelligence has been observed in non-human animals. The general factor of intelligence, or g factor, is a psychometric construct that summarizes the correlations observed between an individual's scores on a wide range of cognitive abilities. First described in humans, the g factor has since been identified in a number of non-human species.Reader, S. M., Hager, Y., & Laland, K. N. (2011). The evolution of primate general and cultural intelligence. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1567), 1017–1027.Cognitive ability and intelligence cannot be measured using the same, largely verbally dependent, scales developed for humans. Instead, intelligence is measured using a variety of interactive and observational tools focusing on innovation, habit reversal, social learning, and responses to novelty. Studies have shown that g is responsible for 47% of the individual variance in cognitive ability measures in primates and between 55% and 60% of the variance in mice (Locurto, Locurto). These values are similar to the accepted variance in IQ explained by g in humans (40–50%).Kamphaus, R. W. (2005). Clinical assessment of child and adolescent intelligence. Springer Science & Business Media.

In plants

It has been argued that plants should also be classified as intelligent based on their ability to sense and model external and internal environments and adjust their morphology, physiology and phenotype accordingly to ensure self-preservation and reproduction.JOURNAL, Trewavas, Anthony, September 2005, Green plants as intelligent organisms, Trends in Plant Science, 16054860, 10, 9, 413–419, 10.1016/j.tplants.2005.07.005, JOURNAL, 841, 2002, 11859344, 10.1038/415841a, 6874, 415, Mindless mastery, Nature, Trewavas, A., 2002Natur.415..841T, A counter argument is that intelligence is commonly understood to involve the creation and use of persistent memories as opposed to computation that does not involve learning. If this is accepted as definitive of intelligence, then it includes the artificial intelligence of robots capable of "machine learning", but excludes those purely autonomic sense-reaction responses that can be observed in many plants. Plants are not limited to automated sensory-motor responses, however, they are capable of discriminating positive and negative experiences and of "learning" (registering memories) from their past experiences. They are also capable of communication, accurately computing their circumstances, using sophisticated cost–benefit analysis and taking tightly controlled actions to mitigate and control the diverse environmental stressors.JOURNAL, Goh, C. H., Nam, H. G., Park, Y. S., 10.1046/j.1365-313X.2003.01872.x, Stress memory in plants: A negative regulation of stomatal response and transient induction of rd22 gene to light in abscisic acid-entrained Arabidopsis plants, The Plant Journal, 36, 2, 240–255, 2003, 14535888, JOURNAL, Volkov, A. G., Carrell, H., Baldwin, A., Markin, V. S., Electrical memory in Venus flytrap, 10.1016/j.bioelechem.2009.03.005, Bioelectrochemistry, 75, 2, 142–147, 2009, 19356999, JOURNAL, Rensing, L., Koch, M., Becker, A., 10.1007/s00114-009-0591-0, A comparative approach to the principal mechanisms of different memory systems, Naturwissenschaften, 96, 12, 1373–1384, 2009, 19680619, 2009NW.....96.1373R,

Artificial intelligence

Artificial intelligence (or AI) is both the intelligence of machines and the branch of computer science which aims to create it, through "the study and design of intelligent agents"BOOK, Goebel, Randy, Poole, David L., Mackworth, Alan K., Computational intelligence: A logical approach, Oxford University Press, Oxford [Oxfordshire], 1997, 1, 978-0-19-510270-3,weblink no, or "rational agents", where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success.BOOK, Russell, Stuart J., Norvig, Peter, Artificial intelligence: A modern approach, Prentice Hall, Englewood Cliffs, N.J., 2003, 978-0-13-790395-5, 51325314, Kaplan and Haenlein define artificial intelligence as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation”.WEB, Kaplan Andreas and Haelein Michael (2019) Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence, Businss Horizons, 62(1),weblink Achievements in artificial intelligence include constrained and well-defined problems such as games, crossword-solving and optical character recognition and a few more general problems such as autonomous cars.WEB,weblink Google: Our Robot Cars Are Better Drivers Than Puny Humans, Tom, Simonite, General intelligence or strong AI has not yet been achieved and is a long-term goal of AI research.Among the traits that researchers hope machines will exhibit are reasoning, knowledge, planning, learning, communication, perception, and the ability to move and to manipulate objects. In the field of artificial intelligence there is no consensus on how closely the brain should be simulated.

See also

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Further reading

  • BOOK, Binet, Alfred, Simon, Th., Alfred Binet, The development of intelligence in children: The Binet-Simon Scale, E. S. Kite (Trans.), Baltimore, Williams & Wilkins, 1916, Publications of the Training School at Vineland New Jersey Department of Research No. 11,weblink 18 July 2010, harv,
  • BOOK, Measuring intelligence: A guide to the administration of the new revised Stanford-Binet tests of intelligence, Terman, Lewis Madison, Merrill, Maude A., Lewis Terman, 1937, Houghton Mifflin, Boston (MA), Riverside textbooks in education, 964301, harv,
  • BOOK, Handbook of Intelligence, Wolman, Benjamin B., Benjamin B. Wolman, consulting editors: Douglas K. Detterman, Alan S. Kaufman, Joseph D. Matarazzo, 1985, Wiley, New York (NY), 978-0-471-89738-5, harv,weblink This handbook includes chapters by Paul B. Baltes, Ann E. Boehm, Thomas J. Bouchard, Jr., Nathan Brody, Valerie J. Cook, Roger A. Dixon, Gerald E. Gruen, J. P. Guilford, David O. Herman, John L. Horn, Lloyd G. Humphreys, George W. Hynd, Randy W. Kamphaus, Robert M. Kaplan, Alan S. Kaufman, Nadeen L. Kaufman, Deirdre A. Kramer, Roger T. Lennon, Michael Lewis, Joseph D. Matarazzo, Damian McShane, Mary N. Meeker, Kazuo Nihira, Thomas Oakland, Ronald Parmelee, Cecil R. Reynolds, Nancy L. Segal, Robert J. Sternberg, Margaret Wolan Sullivan, Steven G. Vandenberg, George P. Vogler, W. Grant Willis, Benjamin B. Wolman, James W. Soo-Sam, and Irla Lee Zimmerman.
  • BOOK, The Nature of Intelligence, Bock, Gregory, Goode, Jamie, Webb, Kate, Chichester, Wiley, Novartis Foundation Symposium 233, 2000, 978-0471494348, 10.1002/0470870850,weblink 16 May 2013, harv,
  • BOOK, Blakeslee, Sandra, Jeff Hawkins, Hawkins, Jeff, On intelligence, Times Books, New York, 2004, 978-0-8050-7456-7, 55510125,
  • BOOK, What Intelligence Tests Miss: The Psychology of Rational Thought, Stanovich, Keith, 2009, Yale University Press, New Haven (CT), 978-0-300-12385-2,weblink 6 November 2013, harv,weblink
  • BOOK, Flynn, James R., What Is Intelligence: Beyond the Flynn Effect, expanded paperback, Cambridge, Cambridge University Press, 978-0-521-74147-7, 2009,weblink 18 July 2010, harv,
  • BOOK, IQ and Human Intelligence, Mackintosh, N. J., Nicholas Mackintosh, 2011, second, Oxford University Press, Oxford, 978-0-19-958559-5,weblink 9 February 2012, harv,
  • BOOK, The Cambridge Handbook of Intelligence, Sternberg, Robert J., Robert Sternberg, Kaufman, Scott Barry, 2011, Cambridge University Press, Cambridge, 9780521739115,weblink 22 July 2013, harv, The Cambridge Handbook includes chapters by N. J. Mackintosh, Susana Urbina, John O. Willis, Ron Dumont, Alan S. Kaufman, Janet E. Davidson, Iris A. Kemp, Samuel D. Mandelman, Elena L. Grigorenko, Raymond S. Nickerson, Joseph F. Fagan, L. Todd Rose, Kurt Fischer, Christopher Hertzog, Robert M. Hodapp, Megan M. Griffin, Meghan M. Burke, Marisa H. Fisher, David Henry Feldman, Martha J. Morelock, Sally M. Reis, Joseph S. Renzulli, Diane F. Halpern, Anna S. Beninger, Carli A. Straight, Lisa A. Suzuki, Ellen L. Short, Christina S. Lee, Christine E. Daley, Anthony J. Onwuegbuzie, Thomas R. Zentall, Liane Gabora, Anne Russon, Richard J. Haier, Ted Nettelbeck, Andrew R. A. Conway, Sarah Getz, Brooke Macnamara, Pascale M. J. Engel de Abreu, David F. Lohman, Joni M. Lakin, Keith E. Stanovich, Richard F. West, Maggie E. Toplak, Scott Barry Kaufman, Ashok K. Goel, Jim Davies, Katie Davis, Joanna Christodoulou, Scott Seider, Howard Gardner, Robert J. Sternberg, John D. Mayer, Peter Salovey, David Caruso, Lillia Cherkasskiy, Richard K. Wagner, John F. Kihlstrom, Nancy Cantor, Soon Ang, Linn Van Dyne, Mei Ling Tan, Glenn Geher, Weihua Niu, Jillian Brass, James R. Flynn, Susan M. Barnett, Heiner Rindermann, Wendy M. Williams, Stephen J. Ceci, Ian J. Deary, G. David Batty, Colin DeYoung, Richard E. Mayer, Priyanka B. Carr, Carol S. Dweck, James C. Kaufman, Jonathan A. Plucker, Ursula M. Staudinger, Judith Glück, Phillip L. Ackerman, and Earl Hunt.

External links

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