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Intelligence is most widely studied in humans, but has also been observed in animals and plants. Artificial intelligence is the intelligence of machines or the simulation of intelligence in machines.
Numerous definitions of and hypotheses about intelligence have been proposed since before the twentieth century, with no consensus reached by scholars. Within the discipline of psychology, various approaches to human intelligence have been adopted. The psychometric approach is especially familiar to the general public, as well as being the most researched and by far the most widely used in practical settings.
Besides the foregoing definitions, these psychology and learning researchers also have defined intelligence as:
| Researcher | ! Quotation |
| 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." |
| Cyril Burt | Innate general cognitive ability |
| 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. |
| 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." |
What is considered intelligent varies with culture. For example, when asked to sort, the Kpelle people take a functional approach. A Kpelle participant stated "the knife goes with the orange because it cuts it." When asked how a fool would sort, they sorted linguistically, putting the knife with other implements and the orange with other foods, which is the style considered intelligent in other cultures.
The approach to understanding intelligence with the most supporters and published research over the longest period of time is based on psychometric testing. It is also by far the most widely used in practical settings. Intelligence quotient (IQ) tests include the Stanford-Binet, Raven's Progressive Matrices, the Wechsler Adult Intelligence Scale and the Kaufman Assessment Battery for Children. There are also psychometric tests that are not intended to measure intelligence itself but some closely related construct such as scholastic aptitude. In the United States examples include the SSAT, the SAT, the ACT, the GRE, the MCAT, the LSAT, and the GMAT.
Intelligence tests are widely used in educational, business, and military settings due to their efficacy in predicting behavior. IQ and ''g'' (discussed in the next section) are correlated with many important social outcomes—individuals with low IQs are more likely to be divorced, have a child out of marriage, be incarcerated, and need long-term welfare support, while individuals with high IQs are associated with more years of education, higher status jobs and higher income. Intelligence is significantly correlated with successful training and performance outcomes, and IQ/''g'' is the single best predictor of successful job performance.
IQ tasks and tests can be ranked by how highly they load on the ''g'' factor. Tests with high ''g''-loadings are those that correlate highly with most other tests. One comprehensive study investigating the correlations between a large collection of tests and tasks has found that the Raven's Progressive Matrices have a particularly high correlation with most other tests and tasks. The ''Raven's'' is a test of inductive reasoning with abstract visual material. It consists of a series of problems, sorted approximately by increasing difficulty. Each problem presents a 3 x 3 matrix of abstract designs with one empty cell; the matrix is constructed according to a rule, and the person must find out the rule to determine which of 8 alternatives fits into the empty cell. Because of its high correlation with other tests, the Raven's Progressive Matrices are generally acknowledged as a good indicator of general intelligence. This is problematic, however, because there are substantial gender differences on the ''Raven's'', which are not found when ''g'' is measured directly by computing the general factor from a broad collection of tests.
''g'' was earlier often subdivided into only Gf and Gc which were though to correspond to the Nonverbal or Performance subtests and Verbal subtests in earlier versions of the popular Wechsler IQ test. More recent research has shown the situation to be more complex.
One criticism has been against the early research such as craniometry. A reply has been that drawing conclusions from early intelligence research is like condemning the auto industry by criticizing the performance of the Model T.
Several critics, such as Stephen Jay Gould, have been critical of ''g'', seeing it as a statistical artifact, and that IQ tests instead measure a number of unrelated abilities. The American Psychological Association's report "Intelligence: Knowns and Unknowns" stated that IQ tests do correlate and that the view that ''g'' is a statistical artifact is a minority one.
On the other hand, Linda S. Gottfredson (2006) has argued that the results of thousands of studies support the importance of IQ for school and job performance (see also the work of Schmidt & Hunter, 2004). IQ also predicts or correlates with numerous other life outcomes. In contrast, empirical support for non-''g'' intelligences is lacking or very poor. She argued that despite this the ideas of multiple non-''g'' intelligences are very attractive to many due to the suggestion that everyone can be smart in some way.
Howard Gardner mentions in his Multiple Intelligences The Theory in Practice book, briefly about his main seven intelligences he introduced. In his book, he starts off telling describing Linguistic and Logical Intelligence because he believed in society, we have put the two subjects on a pedestal. However, Gardner believes every of the intelligences he found has equality. Note: At the time of the publication of Gardner's book Multiple Intelligences The Theory in Practice, naturalist and existential were not mentioned.
Linguistic Intelligence: The kind of ability exhibited in its fullest form, perhaps, by poets.
Logical-Mathematics Intelligence: Is logical and mathematical ability, as well as scientific ability. Howard Gardner believed Jean Piaget may have thought he was studying all intelligence, but in truth, Piaget was really only focusing on the logical mathematical intelligence.
Spatial Intelligence: The ability to form a mental model of a spatial world and to be able to maneuver and operate using that model.
Musical Intelligence: Leonard Bernstein had lots of it; Mozart, presumably, had even more.
Bodily-kinesthetic intelligence: The ability to solve problems or to fashion products using one's whole body, or parts of the body. For example, dancers, athletes, surgeons, craftspeople, etc.
Interpersonal Intelligence: The ability to understand people. People who are well in interpersonal are most likely teachers, politicians, clinicians, religious leaders, etc.
Intrapersonal Intelligence: A correlative ability, turned inward. It is a capacity to form an accurate, veridical model of oneself and to be able to use that model to operate effectively in life.
More recently, the triarchic theory has been updated and renamed the Theory of Successful Intelligence by Sternberg. Intelligence is defined as an individual's assessment of success in life by the individual's own (idiographic) standards and within the individual's sociocultural context. Success is achieved by using combinations of analytical, creative, and practical intelligence. The three aspects of intelligence are referred to as processing skills. The processing skills are applied to the pursuit of success through what were the three elements of practical intelligence: adapting to, shaping of, and selecting of one's environments. The mechanisms that employ the processing skills to achieve success include utilizing one's strengths and compensating or correcting for one's weaknesses.
Sternberg's theories and research on intelligence remain contentious within the scientific community.
Piaget's theory described four main stages and many sub-stages in the development. Degree of progress through these is correlated with but is not identical with psychometric IQ.
Neo-Piagetian theories of cognitive development expand Piaget's theory in various ways such as also considering psychometric-like factors such as processing speed and working memory, "hypercognitive" factors like self-monitoring, more stages, and more consideration on how progress may vary in different domains such as spatial or social.
Piaget's theory has been criticized for the age of appearance of a new model of the world, such as object permanence, being dependent on how the testing is done (see the article on object permanence). More generally, the theory may be very difficult to test empirically due to the difficulty of proving or not proving that a mental model is the explanation for the results of the testing.
Emotional intelligence is an argued ability, capacity, skill or, a self-perceived ability to identify, assess, and control the emotions of oneself, of others, and of groups. Different models have been proposed for the definition of emotional intelligence and there is disagreement about how the term should be used. The concept is controversial (Locke, 2005), with some seeing it as a skill or form of personality rather than intelligence, and its predicative ability, especially after controlling for the effects of IQ and the Big Five personality traits, is disputed.
Neuroethics considers the ethical, legal and social implications of neuroscience, and deals with issues such as the difference between treating a human neurological disease and enhancing the human brain, and how wealth impacts access to neurotechnology. Neuroethical issues interact with the ethics of human genetic engineering.
Because intelligence appears to be at least partly dependent on brain structure and the genes shaping brain development, it has been proposed that genetic engineering could be used to enhance the intelligence, a process sometimes called biological uplift in science fiction. Experiments on mice have demonstrated superior ability in learning and memory in various behavioral tasks.
Transhumanist theorists study the possibilities and consequences of developing and using techniques to enhance human abilities and aptitudes, and individuals ameliorating what they regard as undesirable and unnecessary aspects of the human condition.
Wolfgang Köhler's pioneering research on the intelligence of apes is a classic example of research in this area. Stanley Coren's book, ''The Intelligence of Dogs'' is a notable popular book on the topic. Nonhuman 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 and ravens. Controversy exists over the extent to which these judgments of intelligence are accurate.
Cephalopod intelligence also provides important comparative study. Cephalopods appear to exhibit characteristics of significant intelligence, yet their nervous systems differ radically from those of most other notably intelligent life-forms (mammals and birds).
It has been argued that plants should also be classified as being intelligent based on their ability to sense the environment and adjust their morphology, physiology and phenotype accordingly.
Among the traits that researchers hope machines will exhibit are reasoning, knowledge, planning, learning, communication, perception, and the ability to move and manipulate objects. In the field of artificial intelligence there is no consensus on how closely the brain should be simulated.
Scholarly journals and societies
Category:Educational psychology Category:Developmental psychology Category:Psychological testing
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