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Artificial general intelligence (AGI) is the intelligence of a (hypothetical) machine that could successfully perform any intellectual task that a human being can. It is a primary goal of artificial intelligence research and an important topic for science fiction writers and futurists. Artificial general intelligence is also referred to as "strong AI",〔 or see (Advanced Human Intelligence ) where he defines strong AI as "machine intelligence with the full range of human intelligence."〕 "full AI"〔(The Age of Artificial Intelligence: George John at TEDxLondonBusinessSchool 2013 )〕 or as the ability to perform "general intelligent action".〔. This is the term they use for "human-level" intelligence in the physical symbol system hypothesis.〕 Some references emphasize a distinction between strong AI and "applied AI"〔Encyclopædia Britannica (Strong AI, applied AI, and cognitive simulation ) or Jack Copeland (What is artificial intelligence? ) on AlanTuring.net〕 (also called "narrow AI"〔 or "weak AI"〔(The Open University on Strong and Weak AI )〕): the use of software to study or accomplish specific problem solving or reasoning tasks. Weak AI, in contrast to strong AI, does not attempt to perform the full range of human cognitive abilities. ==Requirements== (詳細はintelligence have been proposed (such as being able to pass the Turing test) but there is to date no definition that satisfies everyone.〔AI founder John McCarthy writes: "we cannot yet characterize in general what kinds of computational procedures we want to call intelligent." (For a discussion of some definitions of intelligence used by artificial intelligence researchers, see philosophy of artificial intelligence.) 〕 However, there ''is'' wide agreement among artificial intelligence researchers that intelligence is required to do the following:〔 This list of intelligent traits is based on the topics covered by major AI textbooks, including: , , and . 〕 * reason, use strategy, solve puzzles, and make judgments under uncertainty; * represent knowledge, including commonsense knowledge; * plan; * learn; * communicate in natural language; * and integrate all these skills towards common goals. Other important capabilities include the ability to sense (e.g. see) and the ability to act (e.g. move and manipulate objects) in the world where intelligent behaviour is to be observed.〔Pfeifer, R. and Bongard J. C., How the body shapes the way we think: a new view of intelligence (The MIT Press, 2007). ISBN 0-262-16239-3〕 This would include an ability to detect and respond to hazard.〔White, R. W. (1959). Motivation reconsidered: The concept of competence. Psychological Review, 66, 297-333〕 Many interdisciplinary approaches to intelligence (e.g. cognitive science, computational intelligence and decision making) tend to emphasise the need to consider additional traits such as imagination (taken as the ability to form mental images and concepts that were not programmed in) and autonomy.〔deCharms, R. (1968). Personal causation. New York: Academic Press.〕 Computer based systems that exhibit many of these capabilities do exist (e.g. see computational creativity, automated reasoning, decision support system, robot, evolutionary computation, intelligent agent), but not yet at human levels. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Artificial general intelligence」の詳細全文を読む スポンサード リンク
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