Intelligence has been defined in many ways: 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 despite controversy as to whether some of these forms of life exhibit intelligence. Intelligence in computers or other machines is called artificial intelligence.
The word intelligence derives from the Latin nouns intelligentia or intellēctus, which in turn stem from the verb 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 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 "understanding" (in place of "intellectus" or "intelligence") in their English philosophical works. 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. "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.
A very general mental capability that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly and learn from experience. It is not merely book learning, a narrow academic skill, or test-taking smarts. Rather, it reflects a broader and deeper capability for comprehending our surroundings—"catching on," "making sense" of things, or "figuring out" what to do.
Individuals differ from one another in their ability to understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought. Although these individual differences can be substantial, they are never entirely consistent: a given person's intellectual performance will vary on different occasions, in different domains, as judged by different criteria. Concepts of "intelligence" are attempts to clarify and organize this complex set of phenomena. Although considerable clarity has been achieved in some areas, no such conceptualization has yet answered all the important questions, and none commands universal assent. Indeed, when two dozen prominent theorists were recently asked to define intelligence, they gave two dozen, somewhat different, definitions.
|Alfred Binet||Judgment, otherwise called "good sense", "practical sense", "initiative", the faculty of adapting one's self to circumstances ... auto-critique.|
|David Wechsler||The aggregate or global capacity of the individual to act purposefully, to think rationally, and to deal effectively with his environment.|
|Lloyd Humphreys||"...the resultant of the process of acquiring, storing in memory, retrieving, combining, comparing, and using in new contexts information and conceptual skills".|
|Howard Gardner||To my mind, a human intellectual competence must entail a set of skills of 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.|
|Linda Gottfredson||The ability to deal with cognitive complexity.|
|Robert Sternberg & William Salter||Goal-directed adaptive behavior.|
|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".|
|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.|
|Alexander Wissner-Gross||F = T ∇ S
"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, τ. In short, intelligence doesn't like to get trapped".
Human intelligence is the intellectual power of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness. 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, innovate, plan, solve problems, and employ language to communicate. Intelligence enables humans to experience and think.
Intelligence is different from learning. Learning refers to the act of retaining facts and information or abilities and being able to recall them for future use, while intelligence is the cognitive ability of someone to perform these and other processes. There have been various attempts to quantify intelligence via testing, such as the Intelligence Quotient (IQ) test. However, many people disagree with the validity of IQ tests, stating that they cannot accurately measure intelligence.
There is debate about if human intelligence is based on hereditary factors or if it is based on environmental factors. Hereditary intelligence is the theory that intelligence is fixed upon birth and not able to grow. Environmental intelligence is the theory that intelligence is developed throughout life depending on the environment around the person. An environment that cultivates intelligence is one that challenges the person’s cognitive abilities.
Much of the above definition applies also to the intelligence of non-human animals.
Emotional intelligence is thought to be the ability to convey emotion to others in an understandable way as well as to read the emotions of others accurately. Some theories imply that a heightened emotional intelligence could also lead to faster generating and processing of emotions in addition to the accuracy. In addition, higher emotional intelligence is thought to help us manage emotions, which is beneficial for our problem-solving skills. Emotional intelligence is important to our mental health and has ties into social intelligence.
Social intelligence is the ability to understand the social cues and motivations of others and oneself in social situations. It is thought to be distinct to other types of intelligence, but has relations to emotional intelligence. Social intelligence has coincided with other studies that focus on how we make judgements of others, the accuracy with which we do so, and why people would be viewed as having positive or negative social character. There is debate as to whether or not these studies and social intelligence come from the same theories or if there is a distinction between them, and they are generally thought to be of two different schools of thought.
Nonhuman animal intelligence
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. (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 an 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.
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%).
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.
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.
Scholars studying artificial intelligence have proposed definitions of intelligence that include the intelligence demonstrated by machines. Some of these definitions are meant to be general enough to encompass human and other animal intelligence as well. An intelligent agent can be defined as a system that perceives its environment and takes actions which maximize its chances of success. 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". Progress in artificial intelligence can be demonstrated in benchmarks ranging from games to practical tasks such as protein folding. Existing AI lags humans in terms of general intelligence, which is sometimes defined as the "capacity to learn how to carry out a huge range of tasks".
Singularitarian Eliezer Yudkowsky provides a loose qualitative definition of intelligence as "that sort of smartish stuff coming out of brains, which can play chess, and price bonds, and persuade people to buy bonds, and invent guns, and figure out gravity by looking at wandering lights in the sky; and which, if a machine intelligence had it in large quantities, might let it invent molecular nanotechnology; and so on". Mathematician Olle Häggström defines intelligence in terms of "optimization power", an agent's capacity for efficient cross-domain optimization of the world according to the agent's preferences, or more simply the ability to "steer the future into regions of possibility ranked high in a preference ordering". In this optimization framework, Deep Blue has the power to "steer a chessboard's future into a subspace of possibility which it labels as 'winning', despite attempts by Garry Kasparov to steer the future elsewhere." Hutter and Legg, after surveying the literature, define intelligence as "an agent's ability to achieve goals in a wide range of environments". While cognitive ability is sometimes measured as a one-dimensional parameter, it could also be represented as a "hypersurface in a multidimensional space" to compare systems that are good at different intellectual tasks. Some skeptics believe that there is no meaningful way to define intelligence, aside from "just pointing to ourselves".
- Goh, C. H.; Nam, H. G.; Park, Y. S. (2003). "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. doi:10.1046/j.1365-313X.2003.01872.x. PMID 14535888.
- Volkov, A. G.; Carrell, H.; Baldwin, A.; Markin, V. S. (2009). "Electrical memory in Venus flytrap". Bioelectrochemistry. 75 (2): 142–147. doi:10.1016/j.bioelechem.2009.03.005. PMID 19356999.
- Maich, Aloysius (1995). "A Hobbes Dictionary". Blackwell: 305. Cite journal requires
- Nidditch, Peter. "Foreword". An Essay Concerning Human Understanding. Oxford University Press. p. xxii.
- Hobbes, Thomas; Molesworth, William (15 February 1839). "Opera philosophica quæ latine scripsit omnia, in unum corpus nunc primum collecta studio et labore Gulielmi Molesworth ." Londoni, apud Joannem Bohn. Archived from the original on 5 November 2013 – via Internet Archive.
- This paragraph almost verbatim from Goldstein, Sam; Princiotta, Dana; Naglieri, Jack A., Eds. (2015). Handbook of Intelligence: Evolutionary Theory, Historical Perspective, and Current Concepts. New York, Heidelberg, Dordrecht, London: Springer. p. 3. ISBN 978-1-4939-1561-3.
- S. Legg; M. Hutter (2007). A Collection of Definitions of Intelligence. 157. pp. 17–24. ISBN 9781586037581.
- Gottfredson & 1997777, pp. 17–20 harvnb error: no target: CITEREFGottfredson1997777 (help)
- Gottfredson, Linda S. (1997). "Mainstream Science on Intelligence (editorial)" (PDF). Intelligence. 24: 13–23. doi:10.1016/s0160-2896(97)90011-8. ISSN 0160-2896. Archived (PDF) from the original on 22 December 2014.
- Neisser, Ulrich; Boodoo, Gwyneth; Bouchard, Thomas J.; Boykin, A. Wade; Brody, Nathan; Ceci, Stephen J.; Halpern, Diane F.; Loehlin, John C.; Perloff, Robert; Sternberg, Robert J.; Urbina, Susana (1996). "Intelligence: Knowns and unknowns" (PDF). American Psychologist. 51 (2): 77–101. doi:10.1037/0003-066x.51.2.77. ISSN 0003-066X. Archived (PDF) from the original on 28 March 2016. Retrieved 9 October 2014.
- Binet, Alfred (1916) . "New methods for the diagnosis of the intellectual level of subnormals". The development of intelligence in children: The Binet-Simon Scale. E.S. Kite (Trans.). Baltimore: Williams & Wilkins. pp. 37–90.
originally published as Méthodes nouvelles pour le diagnostic du niveau intellectuel des anormaux. L'Année Psychologique, 11, 191–244
- Wechsler, D (1944). The measurement of adult intelligence. Baltimore: Williams & Wilkins. ISBN 978-0-19-502296-4. OCLC 219871557. ASIN = B000UG9J7E
- Humphreys, L. G. (1979). "The construct of general intelligence". Intelligence. 3 (2): 105–120. doi:10.1016/0160-2896(79)90009-6.
- Frames of mind: The theory of multiple intelligences. New York: Basic Books. 1993. ISBN 978-0-465-02510-7. OCLC 221932479.
- Gottfredson, L. (1998). "The General Intelligence Factor" (PDF). Scientific American Presents. 9 (4): 24–29. Archived (PDF) from the original on 7 March 2008. Retrieved 18 March 2008.
- Sternberg RJ; Salter W (1982). Handbook of human intelligence. Cambridge, UK: Cambridge University Press. ISBN 978-0-521-29687-8. OCLC 11226466.
- 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
- S. Legg; M. Hutter (2007). "Universal Intelligence: A Definition of Machine Intelligence". Minds and Machines. 17 (4): 391–444. arXiv:0712.3329. Bibcode:2007arXiv0712.3329L. doi:10.1007/s11023-007-9079-x. S2CID 847021.
- "TED Speaker: Alex Wissner-Gross: A new equation for intelligence". TED.com. Archived from the original on 4 September 2016. Retrieved 7 September 2016.
- Tirri, Nokelainen (2011). Measuring Multiple Intelligences and Moral Sensitivities in Education. Moral Development and Citizenship Education. Springer. ISBN 978-94-6091-758-5. Archived from the original on 2 August 2017.
- Colom, Roberto (December 2010). "Human intelligence and brain networks". Dialogues Clin. Neurosci. 12 (4): 489–501. doi:10.31887/DCNS.2010.12.4/rcolom. PMC 3181994.
- Bouchard, Thomas J. (1982). "Review of The Intelligence Controversy". The American Journal of Psychology. 95 (2): 346–349. doi:10.2307/1422481. ISSN 0002-9556. JSTOR 1422481.
- Salovey, Peter; Mayer, John D. (March 1990). "Emotional Intelligence". Imagination, Cognition and Personality. 9 (3): 185–211. doi:10.2190/DUGG-P24E-52WK-6CDG. ISSN 0276-2366. S2CID 219900460.
- Mayer, John D.; Salovey, Peter (1 October 1993). "The intelligence of emotional intelligence". Intelligence. 17 (4): 433–442. doi:10.1016/0160-2896(93)90010-3. ISSN 0160-2896.
- Walker, Ronald E.; Foley, Jeanne M. (December 1973). "Social Intelligence: Its History and Measurement". Psychological Reports. 33 (3): 839–864. doi:10.2466/pr0.19220.127.116.119. ISSN 0033-2941. S2CID 144839425.
- Coren, Stanley (1995). The Intelligence of Dogs. Bantam Books. ISBN 978-0-553-37452-0. OCLC 30700778.
- Childs, Casper. "WORDS WITH AN ASTRONAUT". Valenti. Codetipi. Retrieved 14 March 2021.
- Roth, Gerhard (19 December 2015). "Convergent evolution of complex brains and high intelligence". Philos Trans R Soc Lond B Biol Sci. 370 (1684): 20150049. doi:10.1098/rstb.2015.0049. PMID 26554042.
- 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.
- Kamphaus, R. W. (2005). Clinical assessment of child and adolescent intelligence. Springer Science & Business Media.
- Trewavas, Anthony (September 2005). "Green plants as intelligent organisms". Trends in Plant Science. 10 (9): 413–419. doi:10.1016/j.tplants.2005.07.005. PMID 16054860.
- Trewavas, A. (2002). "Mindless mastery". Nature. 415 (6874): 841. Bibcode:2002Natur.415..841T. doi:10.1038/415841a. PMID 11859344. S2CID 4350140.
- Rensing, L.; Koch, M.; Becker, A. (2009). "A comparative approach to the principal mechanisms of different memory systems". Naturwissenschaften. 96 (12): 1373–1384. Bibcode:2009NW.....96.1373R. doi:10.1007/s00114-009-0591-0. PMID 19680619. S2CID 29195832.
- Russell, Stuart J.; Norvig, Peter (2003). Artificial Intelligence: A Modern Approach. Englewood Cliffs, N.J.: Prentice Hall. ISBN 978-0-13-790395-5. OCLC 51325314.
- "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, Business Horizons, 62(1)".
- "How did a company best known for playing games just crack one of science's toughest puzzles?". Fortune. 2020. Retrieved 21 February 2021.
- Heath, Nick (2018). "What is artificial general intelligence?". ZDNet. Retrieved 21 February 2021.
- Häggström, Olle (2016). Here be dragons: science, technology and the future of humanity. Oxford. pp. 103, 104. ISBN 9780191035395.
- Gary Lea (2015). "The Struggle To Define What Artificial Intelligence Actually Means". Popular Science. Retrieved 21 February 2021.
- Legg, Shane; Hutter, Marcus (30 November 2007). "Universal Intelligence: A Definition of Machine Intelligence". Minds and Machines. 17 (4): 391–444. arXiv:0712.3329. doi:10.1007/s11023-007-9079-x.
- Bostrom, Nick (2014). Superintelligence: Paths, Dangers, Strategies (First ed.). Oxford, United Kingdom. "Chapter 4: The Kinetics of an Intelligence Explosion", footnote 9. ISBN 978-0-19-967811-2.
- "Superintelligence: The Idea That Eats Smart People". idlewords.com. Retrieved 21 February 2021.
- Binet, Alfred; Simon, Th. (1916). The development of intelligence in children: The Binet-Simon Scale. Publications of the Training School at Vineland New Jersey Department of Research No. 11. E. S. Kite (Trans.). Baltimore: Williams & Wilkins. p. 1. Retrieved 18 July 2010.
- Haier, Richard (2016). The Neuroscience of Intelligence. Cambridge University Press.
- Terman, Lewis Madison; Merrill, Maude A. (1937). Measuring intelligence: A guide to the administration of the new revised Stanford-Binet tests of intelligence. Riverside textbooks in education. Boston (MA): Houghton Mifflin. OCLC 964301.
- Wolman, Benjamin B., ed. (1985). Handbook of Intelligence. consulting editors: Douglas K. Detterman, Alan S. Kaufman, Joseph D. Matarazzo. New York (NY): Wiley. ISBN 978-0-471-89738-5. 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.
- Bock, Gregory; Goode, Jamie; Webb, Kate, eds. (2000). The Nature of Intelligence. Novartis Foundation Symposium 233. Chichester: Wiley. doi:10.1002/0470870850. ISBN 978-0471494348. Lay summary (16 May 2013).
- Blakeslee, Sandra; Hawkins, Jeff (2004). On intelligence. New York: Times Books. ISBN 978-0-8050-7456-7. OCLC 55510125.
- Stanovich, Keith (2009). What Intelligence Tests Miss: The Psychology of Rational Thought. New Haven (CT): Yale University Press. ISBN 978-0-300-12385-2. Lay summary (6 November 2013).
- Flynn, James R. (2009). What Is Intelligence: Beyond the Flynn Effect (expanded paperback ed.). Cambridge: Cambridge University Press. ISBN 978-0-521-74147-7. Lay summary (18 July 2010).
- Mackintosh, N. J. (2011). IQ and Human Intelligence (second ed.). Oxford: Oxford University Press. ISBN 978-0-19-958559-5. Lay summary (9 February 2012).
- Sternberg, Robert J.; Kaufman, Scott Barry, eds. (2011). The Cambridge Handbook of Intelligence. Cambridge: Cambridge University Press. ISBN 9780521739115. Lay summary (22 July 2013). 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.
|Wikimedia Commons has media related to Intelligence.|
|Look up intelligence in Wiktionary, the free dictionary.|
|Wikiquote has quotations related to: Intelligence|
- Intelligence on In Our Time at the BBC
- History of Influences in the Development of Intelligence Theory and Testing – Developed by Jonathan Plucker at Indiana University
- The Limits of Intelligence: The laws of physics may well prevent the human brain from evolving into an ever more powerful thinking machine by Douglas Fox in Scientific American, 14 June 2011.
- A Collection of Definitions of Intelligence
Scholarly journals and societies