Intelligence Biological Beings

Intelligence has been defined in many ways: the capacity for logicunderstandingself-awarenesslearningemotional knowledgereasoningplanningcreativitycritical 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. There are conflicting ideas about how intelligence is measured, ranging from the idea that intelligence is fixed upon birth, or that it is malleable and can change depending on an individual’s mindset and efforts. Several subcategories of intelligence, such as emotional intelligence or social intelligence, are heavily debated as to whether they are traditional forms of intelligence. They are generally thought to be distinct processes that occur, though there is speculation that they tie into traditional intelligence more than previously suspected. Despite their use of the word ‘Intelligence,’ some terms may have little or nothing to do with the mentioned cognitive processes.

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 forms of life exhibit intelligence. Intelligence in machines is called artificial intelligence, which is commonly implemented in computer systems using programs and, sometimes, specialized hardware.



The definition of intelligence is controversial, varying in what its abilities are and whether or not it is quantifiable. 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):

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.

From Intelligence: Knowns and Unknowns (1995), a report published by the Board of Scientific Affairs of the American Psychological Association:

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.

Besides those definitions, psychology and learning researchers also have suggested definitions of intelligence such as the following:

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”.
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{displaystyle _{tau }}

“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

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 learnform conceptsunderstand, and reason, including the capacities to recognize patterns, innovate, plansolve 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

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

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

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.[26] (See also: Dog intelligence.) Non-human animals particularly noted and studied for their intelligence include chimpanzeesbonobos (notably the language-using Kanzi) and other great apesdolphinselephants and to some extent parrotsrats 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 mammalsbirdsreptiles 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 innovationhabit 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%).

Plant intelligence

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 morphologyphysiology 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.

Artificial intelligence

Artificial intelligence (or AI) is both the intelligence that is demonstrated by machines and the branch of computer science which aims to create it, through “the study and design of intelligent agents or “rational agents”, where an intelligent agent is 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”. 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. 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 reasoningknowledgeplanninglearningcommunicationperception, 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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