The term rose to prominence during the early 1900s.[2][3] Most
psychologists believe that intelligence can be divided into various domains or competencies.[4]
Intelligence has been long-studied in
humans, and across numerous disciplines. It has also been observed in the
cognition of non-human animals.[5] Some researchers have suggested that
plants exhibit forms of intelligence, though this remains controversial.[6][7][8]
The word intelligence derives from the Latin
nounsintelligentia 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
teleologicalscholasticism, 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
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.[9][10] 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.[11] "Intelligence" has therefore become less common in English language philosophy, but it has later been taken up (with the scholastic theories that it now implies) in more contemporary
psychology.[12]
Definitions
There is controversy over how to define intelligence. Scholars describe its constituent abilities in various ways, and differ in the degree to which they conceive of intelligence as quantifiable.[13]
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.[14]
Psychologists and
learning researchers also have suggested definitions of intelligence such as the following:
"...the resultant of the process of acquiring, storing in memory, retrieving, combining, comparing, and using in new contexts information and conceptual skills".[17]
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.[18]
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".[20]
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",[13] which has been mathematically formalized.[21]
"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.[23][24] Intelligence enables humans to remember descriptions of things and use those descriptions in future behaviors. 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. These cognitive abilities can be organized into frameworks like
fluid vs. crystallized and the Unified Cattell-Horn-Carroll model,[4] which contains abilities like fluid reasoning, perceptual speed, verbal abilities, and others.
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. Intelligence, on the other hand, is the cognitive ability of someone to perform these and other processes.
There have been various attempts to quantify intelligence via
psychometric testing. Prominent among these are the various
Intelligence Quotient (IQ) tests, which were first developed in the early 20th century to screen children for
intellectual disability.[25] Over time, IQ tests became more pervasive, being used to screen immigrants, military recruits, and job applicants.[26] As the tests became more popular, belief that IQ tests measure a fundamental and unchanging attribute that all humans possess became widespread.[25]
An influential theory that promoted the idea that IQ measures a fundamental quality possessed by every person is the theory of
General Intelligence, or g factor.[27] The g factor is a construct that summarizes the
correlations observed between an individual's scores on a range of cognitive tests.
Today, most psychologists agree that IQ measures at least some aspects of human intelligence, particularly the ability to thrive in an academic context.[28] However, many psychologists question the
validity of IQ tests as a measure of intelligence as a whole.[28][29]
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.[35] Some theories imply that a heightened emotional intelligence could also lead to faster generating and processing of emotions in addition to the accuracy.[36] 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 to social intelligence.[35]
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.[37]
Moral intelligence is the capacity to understand right from wrong and to behave based on the value that is believed to be right.[38] It is considered a distinct form of intelligence, independent to both emotional and cognitive intelligence.[39]
Book smart and street smart
Concepts of "book smarts" and "street smart" are contrasting views based on the premise that some people have knowledge gained through academic study, but may lack the experience to sensibly apply that knowledge, while others have knowledge gained through practical experience, but may lack accurate information usually gained through study by which to effectively apply that knowledge.
Artificial intelligence researcher
Hector Levesque has noted that:
Given the importance of learning through text in our own personal lives and in our culture, it is perhaps surprising how utterly dismissive we tend to be of it. It is sometimes derided as being merely "book knowledge", and having it is being "book smart". In contrast, knowledge acquired through direct experience and apprenticeship is called "street knowledge", and having it is being "street smart".[40]
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 include defining intelligence so it has the same meaning across species, and
operationalizing a measure that accurately compares mental ability across species and contexts.[41]
Cephalopod intelligence 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.[44]
Evidence of a general factor of intelligence has been observed in non-human animals. First described in
humans, the g factor has since been identified in a number of non-human species.[45]
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[45] 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%).[46]
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.[47][48]
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.[7][8][49]
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.[50]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".[51]Progress in artificial intelligence can be demonstrated in benchmarks ranging from games to practical tasks such as
protein folding.[52] 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".[53]
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."[54]Hutter and
Legg, after surveying the literature, define intelligence as "an agent's ability to achieve goals in a wide range of environments".[55][56] 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.[57] Some skeptics believe that there is no meaningful way to define intelligence, aside from "just pointing to ourselves".[58]
^Sharma, Radha R. (2008). Emotional Intelligence from 17th Century to 21st Century: Perspectives and Directions for Future Research. Sage Journals. Vol. 12.
^White, Margaret B. & Hall, Alfred E. (1980). An overview of intelligence testing. Phi Delta Kappa International. Vol. 58, No. 4, pp. 210-216
^Buxton, Claude E. (1985). Influences in Psychology: Points of View in the Modern History of Psychology. Academic Press.
^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.
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^Binet, Alfred (1916) [1905].
"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. Archived from
the original on 19 June 2010. Retrieved 14 August 2010. originally published as Méthodes nouvelles pour le diagnostic du niveau intellectuel des anormaux. L'Année Psychologique, 11, 191–244
^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
^Richardson, John T. E. (2003). "Howard Andrew Knox and the origins of performance testing on Ellis Island, 1912-1916". History of Psychology. 6 (2): 143–70.
doi:
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^
abWeiten W (2016).
Psychology: Themes and Variations.
Cengage Learning. p. 281.
ISBN978-1305856127. IQ tests are valid measures of the kind of intelligence necessary to do well in academic work. But if the purpose is to assess intelligence in a broader sense, the validity of IQ tests is questionable.
^Bird, Kevin; Jackson, John P.; Winston, Andrew S. (2024).
"Confronting Scientific Racism in Psychology: Lessons from Evolutionary Biology and Genetics". American Psychologist. 79 (4): 497–508.
doi:
10.1037/amp0001228.
PMID39037836. Recent articles claim that the folk categories of race are genetically meaningful divisions, and that evolved genetic differences among races and nations are important for explaining immutable differences in cognitive ability, educational attainment, crime, sexual behavior, and wealth; all claims that are opposed by a strong scientific consensus to the contrary.
^Beheshtifar, M., Esmaeli, Z., & Moghadam, M. N. (2011). Effect of moral intelligence on leadership. European Journal of Economics, Finance and Administrative Sciences, 43, 6-11.
^Hector J. Levesque, Common Sense, the Turing Test, and the Quest for Real AI (2017), p. 80.
^
abReader, 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.
^Häggström, Olle (2016). Here be dragons: science, technology and the future of humanity. Oxford: Oxford University Press. pp. 103, 104.
ISBN978-0191035395.
Gleick, James, "The Fate of Free Will" (review of
Kevin J. Mitchell, Free Agents: How Evolution Gave Us Free Will, Princeton University Press, 2023, 333 pp.), The New York Review of Books, vol. LXXI, no. 1 (18 January 2024), pp. 27–28, 30. "
Agency is what distinguishes us from machines. For biological creatures,
reason and
purpose come from acting in the world and experiencing the consequences. Artificial intelligences – disembodied, strangers to blood, sweat, and tears – have no occasion for that." (p. 30.)
Hughes-Castleberry, Kenna, "A Murder Mystery Puzzle: The literary puzzle Cain's Jawbone, which has stumped humans for decades, reveals the limitations of natural-language-processing algorithms", Scientific American, vol. 329, no. 4 (November 2023), pp. 81–82. "This murder mystery competition has revealed that although NLP (
natural-language processing) models are capable of incredible feats, their abilities are very much limited by the amount of
context they receive. This [...] could cause [difficulties] for researchers who hope to use them to do things such as analyze
ancient languages. In some cases, there are few historical records on long-gone
civilizations to serve as
training data for such a purpose." (p. 82.)
Immerwahr, Daniel, "Your Lying Eyes: People now use A.I. to generate fake videos indistinguishable from real ones. How much does it matter?", The New Yorker, 20 November 2023, pp. 54–59. "If by '
deepfakes' we mean realistic videos produced using artificial intelligence that actually deceive people, then they barely exist. The fakes aren't deep, and the deeps aren't fake. [...] A.I.-generated videos are not, in general, operating in our media as counterfeited evidence. Their role better resembles that of
cartoons, especially smutty ones." (p. 59.)
Press, Eyal, "In Front of Their Faces: Does facial-recognition technology lead police to ignore contradictory evidence?", The New Yorker, 20 November 2023, pp. 20–26.
Roivainen, Eka, "AI's IQ:
ChatGPT aced a [standard intelligence] test but showed that intelligence cannot be measured by
IQ alone", Scientific American, vol. 329, no. 1 (July/August 2023), p. 7. "Despite its high IQ,
ChatGPT fails at tasks that require real humanlike reasoning or an understanding of the physical and social world.... ChatGPT seemed unable to reason logically and tried to rely on its vast database of... facts derived from online texts."
Cukier, Kenneth, "Ready for Robots? How to Think about the Future of AI", Foreign Affairs, vol. 98, no. 4 (July/August 2019), pp. 192–98.
George Dyson, historian of computing, writes (in what might be called "Dyson's Law") that "Any system simple enough to be understandable will not be complicated enough to behave intelligently, while any system complicated enough to behave intelligently will be too complicated to understand." (p. 197.) Computer scientist
Alex Pentland writes: "Current
AI machine-learningalgorithms are, at their core, dead simple stupid. They work, but they work by brute force." (p. 198.)
Domingos, Pedro, "Our Digital Doubles: AI will serve our species, not control it", Scientific American, vol. 319, no. 3 (September 2018), pp. 88–93. "AIs are like
autistic savants and will remain so for the foreseeable future.... AIs lack
common sense and can easily make errors that a human never would... They are also liable to take our instructions too literally, giving us precisely what we asked for instead of what we actually wanted." (p. 93.)
Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 61–63. Marcus points out a so far insuperable stumbling block to artificial intelligence: an incapacity for reliable
disambiguation. "[V]irtually every sentence [that people generate] is
ambiguous, often in multiple ways. Our brain is so good at comprehending
language that we do not usually notice." A prominent example is the "pronoun disambiguation problem" ("PDP"): a machine has no way of determining to whom or what a
pronoun in a sentence—such as "he", "she" or "it"—refers.
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