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Artificial intelligence
Computer
"AI" redirects here. For other uses, see AI (disambiguation) and Artificial intelligence (disambiguation).
Part of a series on
Artificial intelligence
Major goals
Artificial general intelligencePlanningComputer visionGeneral game playingKnowledge reasoningMachine learningNatural language processingRobotics
Approaches
SymbolicDeep learningBayesian networksEvolutionary algorithms
Philosophy
EthicsExistential riskTuring testChinese roomControl problemFriendly AI
History
TimelineProgressAI winter
Technology
ApplicationsProjectsProgramming languages
Glossary
Glossary
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Part of a series on
Machine learning
and data mining
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Problems
Supervised learning
(classification • regression)
Clustering
Dimensionality reduction
Structured prediction
Anomaly detection
Artificial neural network
Reinforcement learning
Theory
Machine-learning venues
Related articles
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Part of a series on the
Evolutionary algorithm
Artificial developmentArtificial lifeCellular evolutionary algorithmCultural algorithmDifferential evolutionEffective fitnessEvolutionary computationEvolution strategyGaussian adaptationEvolutionary multimodal optimizationParticle swarm optimizationMemetic algorithmNatural evolution strategyNeuroevolutionPromoter based genetic algorithmSpiral optimization algorithmSelf-modifying codePolymorphic code
Genetic algorithm
ChromosomeClonal selection algorithmCrossoverMutationGenetic memoryGenetic fuzzy systemsSelectionFly algorithm
Genetic programming
Cartesian genetic programmingLinear genetic programmingGrammatical evolutionMulti expression programmingGenetic ImprovementSchemaEuriskoParity benchmark
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Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as artificial general intelligence (AGI) while attempts to emulate 'natural' intelligence have been called artificial biological intelligence (ABI). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".[4]

As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.[5] A quip in Tesler's Theorem says "AI is whatever hasn't been done yet."[6] For instance, optical character recognition is frequently excluded from things considered to be AI,[7] having become a routine technology.[8] Modern machine capabilities generally classified as AI include successfully understanding human speech,[9] competing at the highest level in strategic game systems (such as chess and Go),[10] and also imperfect-information games like poker,[11] self-driving cars, intelligent routing in content delivery networks, and military simulations.[12]
Artificial intelligence
Computer
"AI" redirects here. For other uses, see AI (disambiguation) and Artificial intelligence(disambiguation) Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as artificial general intelligence (AGI) while attempts to emulate 'natural' intelligence have been called artificial biological intelligence (ABI). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".[4]

As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.[5] A quip in Tesler's Theorem says "AI is whatever hasn't been done yet."[6] For instance, optical character recognition is frequently excluded from things considered to be AI,[7] having become a routine technology.[8] Modern machine capabilities generally classified as AI include successfully understanding human speech,[9] competing at the highest level in strategic game systems (such as chess and Go),[10] and also imperfect-information games like poker,[11] self-driving cars, intelligent routing in content delivery networks, and military simulations.[12]