Glossary of AI
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¾ËÆÄº£Å¸ °¡ÁöÄ¡±â (Alpha-Beta Pruning)
ÀûÀÀ°ø¸íÀÌ·Ð (Adaptive Resonance Theory)
±Ù»çÃß·Ð (Approximate Reasoning)
ÀΰøÁö´É (Artificial Intelligence)
Àΰø¾ð¾î (Artificial Language)
ÀΰøÀÇ½Ä (Artificial Consciousness)
¿¬»ó (Association) ¿¬»ó¸Þ¸ð¸® (Associative Memory)
È®ÀåõÀ̹®¹ý (Augmented Transition Network)
¿ÀÅ丶Ÿ (Automata) : ¿ÀÅ丶Ÿ ÀÌ·Ð (Automata Theory)
¿ª¹æÇâÃß·Ð (Backward Chaining Inference)
º£ÀÌÁî È®·ü (Bayesian Probability) : º£ÀÌÁîÁÖÀÇ (Bayesianism) : º£ÀÌÁî Á¤¸® (Bayes' Theorem) : º£ÀÌÁî ³×Æ®¿öÅ© (Bayesian network) : ³ªÀÌºê º£ÀÌÁî ºÐ·ù (Naive Bayesian Classification) : º£ÀÌÁî Ãß·Ð (Bayesian Inference)
½É¸®°æÁ¦ÇÐ (Behavioral Finance)
ÀÇ¿ë»ýü°øÇÐ (Biomedical Engineering)
ÈæÆÇ½Ã½ºÅÛ (Blackboard System)
Á¦ÇÑÀû ÇÕ¸®¼º (Bounded Rationality)
³Êºñ¿ì¼± Ž»ö (Breadth First Search) : ±íÀ̿켱 Ž»ö (Depth First Search)
»ç·Ê±â¹Ý Ãß·Ð (Case Based Reasoning)
°Ý (Case) °Ý¹®¹ý (Case Grammar)
¼¼Æ÷ÀÚµ¿ÀÚ (Cellular Automata)
ÁßÃ߽Űæ°è (Central Nervous System) ¸»ÃʽŰæ°è (Peripheral Nervous System) ÀÚÀ²½Å°æ°è (Autonomic Nervous System)
¹®ÀÚÀÎ½Ä (Character Recognition)
Áß±¹¾î¹æ ³íº¯ (Chinese Room Argument)
ÃνºÅ°°èÃþ (Chomsky Hierarchy)
óġ-Æ©¸µ ¸íÁ¦ (Church-Turing Thesis)
Á¦ÇÑÈ (Circumscription) : ºñ´ÜÁ¶ Ãß·Ð (Nonmonotonic Reasoning)
°íÀüÀû Á¶°ÇÈ (classical conditioning)
´ÝÈù ¼¼°è °¡Á¤ (Closed World Assumption)
ÀÎÁö (Cognition) ÀÎÁö ½É¸®ÇÐ (Cognitive Psychology) ÀÎÁöÀû Æí°ß (Cognitive Bias)
Á¶ÇÕ°ÔÀÓÀÌ·Ð (Combinatorial Game Theory)
Á¶ÇÕÃÖÀûÈ (Combinatorial Optimization)
»ó½ÄÃß·Ð (Commonsense Reasoning)
°æÀï½Ä ½Å°æ¸Á (Competitive Neural Network)
¿ÏÀü¼ºÁ¤¸® (Completeness Theorem)
°è»ê°¡´É¼º ÀÌ·Ð (Computability Theory)
°è»ê (Computation) °è»êÁÖÀÇ (Computationalism) °è»êÀÌ·Ð (Theory of Computation)
°è»êº¹Àâµµ ÀÌ·Ð (Computational Complexity Theory)
°è»êÇнÀÀÌ·Ð (Computational Learning Theory)
Àü»ê¾ð¾îÇÐ (Computational Linguistics)
ÄÄÇ»ÅÍ ±¸Á¶ (Computer Architecture)
ÄÄÇ»ÅͺñÀü (Computer Vision) : Machine Vision, Robot Vision
°³³äÀÇÁ¸ ÀÌ·Ð (Conceptual Dependency Theory)
Á¦¾àÁ¶°Ç ¸¸Á· ¹®Á¦ (Constraint Satisfaction Problem)
Á¦¾àÁ¶°Ç Ãß·Ð (Constraint-Based Reasoning)
³»¿ë (Content) : wide content, narrow content
¹®¸Æ (Context) ¹®¸ÆÀÚÀ¯ ¹®¹ý (Context Free Grammar) ¹®¸ÆÀÎ½Ä ¹®¹ý (Context Sensitive Grammar)
Á¦¾î (Control) : »çÀ̹ö³×ƽ½º (Cybernetics)
ÄÁº¼·ç¼Ç ½Å°æ¸Á (Convolutional Neural Network)
¹Ý´ë¹æÇâ ÀüÆÄ ³×Æ®¿öÅ© (Counterpropagation Network)
µ¥ÀÌÅÍ (Data) ºò µ¥ÀÌÅÍ (Big Data) µ¥ÀÌÅͺ£À̽º (Database)
µ¥ÀÌÅ͸¶ÀÌ´× (Data Mining) µ¥ÀÌÅÍ ¿þ¾îÇϿ콺 (Data Warehouse)
ÀÇ»ç°áÁ¤ (Decision Making) ÀÇ»ç°áÁ¤ Æ®¸® (Decision Tree) : Æ®¸® (Tree)
¼±¾ðÇü ÇÁ·Î±×·¡¹Ö (Declarative Programming)
±âº»°ª Ãß·Ð (Default Reasoning)
Delta Rule
Dempster-Shafer ÀÌ·Ð (Dempster-Shafer Theory)
±íÀ̿켱 Ž»ö (Depth First Search) : ³Êºñ¿ì¼± Ž»ö (Breadth First Search)
°áÁ¤·Ð (Determinism) ºñ°áÁ¤·Ð (Indeterminism)
ÀÌ»ê¼öÇÐ (Discrete Mathematics)
ºÐ»ê ÄÄÇ»ÆÃ (Distributed Computing)
ÀÌ¿ø·Ð (Dualism) ÀÏ¿ø·Ð (Monism)
°áÁ¤¹®Á¦ (Entscheidungsproblem)
ÆòÇü°¨°¢ (Equilibrium Sense)
¿¡·¯ (Errors) : Àü¹®°¡½Ã½ºÅÛ (Expert System)
±â´ëÄ¡ÃÖ´ëÈ ¾Ë°í¸®Áò (Expectation Maximization Algorithm)
Àü¹®°¡½Ã½ºÅÛ (Expert System) : Àü¹®¼º (Expertise) Àü¹®°¡ (Expert)
Æò°¡ÇÔ¼ö (Evaluation Function)
ÁøÈ (Evolution) : ÁøÈÇÁ·Î±×·¡¹Ö (Evolutionary Programming) ÁøÈÀü·« (Evolution Strategy) À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)
ÁøÈ¾Ë°í¸®Áò (Evolutionary Algorithm) : Evolutionary Computation
5 ¼¼´ë ÄÄÇ»ÅÍ (Fifth Generation Computer)
Áö¹®ÀÎ½Ä (Finger Print Recognition)
À¯ÇÑ»óÅ ±â°è (Finite State Machine)
Çü½ÄÈ (Formalization) : "±â°èÈ" ¿Í °°Àº ÀǹÌ
Çü½ÄÃß·Ð (Formal Reasoning) : ³í¸® (Logic)
4Â÷»ê¾÷Çõ¸í (Fourth Industrial Revolution)
ÇÁ·¹ÀÓ (Frame) ÇÁ·¹ÀÓ ¹®Á¦ (Frame Problem)
ÆÛÁö (Fuzzy) ÆÛÁö ³í¸® (Fuzzy Logic) ÆÛÁö ÁýÇÕ (Fuzzy Set) ÆÛÁö Ãß·Ð (Fuzzy Inference)
À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)
±«µ¨, ¿¡¼Å, ¹ÙÈå (Godel, Escher, Bach)
±â¿ï±â Çϰ (Gradient Descent)
±×·¡ÇÁ (Graph) ±×·¡ÇÁ ÀÌ·Ð (Graph Theory)
ÇØ¹ÐÅÏÀÇ »çÀÌŬ ¹®Á¦ (Hamiltonian Cycle Problem)
ÇʱâüÀÎ½Ä (Handwriting Recognition)
ÇñÀÇ ÇнÀ ±ÔÄ¢ (Hebbian learning rule)
Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨ (Hidden Markov Model)
È©ÇÊµå ³×Æ®¿öÅ© (Hopfield Network)
Àΰ£ ÄÄÇ»ÅÍ »óÈ£ÀÛ¿ë (Human Computer Interaction)
¿µ»óÀÌÇØ (Image Understanding)
ºÒ¿ÏÀü¼ºÁ¤¸® (Incompleteness Theorem)
Ãß·Ð (Inference) Ãß·Ð (Reasoning) : Ã߷п£Áø (Inference Engine) Ã߷бÔÄ¢ (Inference Rule)
Á¤º¸°Ë»ö (Information Retrieval)
Áö´É (Intelligence) ´ÙÁßÁö´É (Multiple Intelligence)
Áö´ÉÀû ¿¡ÀÌÀüÆ® (Intelligent Agent)
Áö´ÉÀû ±³À°½Ã½ºÅÛ (Intelligent Tutoring System)
Áö´ÉÁö¼ö (IQ, Intelligent Qutient)
Intentionality
»ç¹°ÀÎÅÍ³Ý (Intenet of Things)
K-Æò±Õ ¾Ë°í¸®Áò (K-means Algorithm) : ±ºÁýÈ (Clustering)
K-ÃÖ±Ù¸° ºÐ·ù (K-Nearest Neighbor Classification)
Áö½Ä (Knowledge) Áö½Ä°øÇÐ (Knowledge Engineering) Áö½Ä°øÇÐÀÚ (Knowledge Engineer) Áö½Äº£À̽º (Knowledge Base) Áö½ÄÇ¥Çö (Knowledge Representation) Áö½Äȹµæ (Knowledge Acquisition)
Äê´ÏÈ÷½ºº£¸£Å©ÀÇ ´Ù¸®°Ç³Ê±â ¹®Á¦ (Koenigsberg Bridge Problem)
ÇнÀ (Learning) ±â°è ÇнÀ (Machine Learning) µö ·¯´× (Deep Learning) ÇнÀ ½É¸®ÇÐ (Learning Psychology)
»ç·Ê¿¡ ÀÇÇÑ ÇнÀ (Learning from Examples)
»ý¸í (Life) »ý¸í°ÔÀÓ (Game of Life)
¾ð¾î º¯¼ö (Linguistic Variable)
³í¸®ÇÁ·Î±×·¡¹Ö (Logic Programming)
±â°è ¹ø¿ª (Machine Translation)
¸¶¸£ÄÚÇÁ ¾Ë°í¸®Áò (Markov Algorithm)
¼öÇÐÀû ±Í³³¹ý (Mathematical Induction)
¼ö¸®³í¸®ÇÐ (Mathematical Logic) : ¶Ç´Â ±âÈ£³í¸®ÇÐ (Symbolic Logic)
Çà·Ä (Matrix) : Çà·Ä°ÔÀÓ (Matrix game)
ÃÖ´ë¿ìµµ ÃßÁ¤ (Maximum Likelihood Estimation)
¸ÆÄ÷°-ÇÇÃ÷ ¸ðµ¨ (McCulloch-Pitts Model)
¼ö´Ü¸ñÇ¥ºÐ¼® (Means-Ends Analysis)
ÀÇ·áÁ¤º¸ÇÐ (Medical Informatics)
¸¶À½ (Mind) : ½É¸®Ã¶ÇÐ (Philosophy of Mind)
¿ø¼þÀÌ¿Í ¹Ù³ª³ª ¹®Á¦ (Monkey and Banana Problem)
¸óÅ×Ä®·Î ±â¹ý (Monte Carlo method)
ÇüżҺм® (Morphology Analysis)
ÀÚ¿¬¾îó¸® (Natural Language Processing) ÀÚ¿¬¾îÀÌÇØ (Natural Language Understanding)
ÃÖ±Ù¸° ºÐ·ù (Nearest Neighbour Classification)
½Å°æ¸Á (Neural Network) : Ȱ¼ºÈ ÇÔ¼ö (Activation Function) Æí°ß (Bias)
½Å°æ°úÇÐ (Neuroscience) : ½Å°æ¼¼Æ÷ (Neuron) ½Å°æÀü´Þ¹°Áú (Neurotransmitter) ÁßÃ߽Űæ°è (Central Nervous System)
ºñ´ÜÁ¶ Ãß·Ð (Nonmonotonic Reasoning)
Á¤±ÔºÐÆ÷ (Normal Distribution)
ºñ°áÁ¤ ¿ÏÀü (NP-complete) ºñ°áÁ¤ ³ÇØ (NP-hard) ´ÙÇ׽İú ºñ°áÁ¤´ÙÇ×½Ä (P and NP)
Á¶ÀÛÀû Á¶°ÇÈ (operant conditioning)
±¤Çй®ÀÚÀÎ½Ä (Optical Character Recognition)
º´·Ä ÄÄÇ»ÆÃ (Parallel Computing)
º´·ÄºÐ»êó¸® (Parallel Distributed Processing)
Parallel Processing
ÆÐÅÏÀÎ½Ä (Pattern Recognition)
öÇÐ (Philosophy) : ¾ð¾îöÇÐ (Philosophy of Language) ½É¸®Ã¶ÇÐ (Philosophy of Mind) °úÇÐöÇÐ (Philosophy of Science)
À½¼º¹ß¼º (Phonation)
»ý¸®ÇÐ (Physiology) ½Å°æ»ý¸®ÇÐ (Neurophysiology)
¼ú¾î°è»ê(Predicate Calculus) : ¼ú¾î³í¸® (Predicate Logic)
Á˼öÀÇ µô·¹¸¶ °ÔÀÓ (Prisoner's dilemma game)
°¡´É¼ºÀÌ·Ð (Possibility Theory)
È®·ü (Probability) : º£ÀÌÁîÈ®·ü (Bayesian Probability)
È®·üÃß·Ð (Probabilistic Reasoning)
»ý¼º±ÔÄ¢ (Production Rule) »ý¼º½Ã½ºÅÛ (Production System)
ÇÁ·Î±×·¡¹Ö (Programming) C C++ Java PROLOG LISP
¸íÁ¦°è»ê(Propositional Calculus) : ¸íÁ¦³í¸® (Propositional Logic)
½É¸®ÇÐ (Psychology) ÀÎÁö ½É¸®ÇÐ(Cognitive Psychology) ÇнÀ ½É¸®ÇÐ (Learning Psychology)
ÀÚÁúÁ¶°Ç ¹®Á¦ (Qualification Problem)
Á¤¼ºÀû ¹°¸®ÇÐ (Qualitative Physics) Á¤¼ºÀû Ãß·Ð (Qualitative Reasoning)
ÁúÀÇÀÀ´ä ½Ã½ºÅÛ (Question Answering System)
ȸ±ÍºÐ¼® (Regression Analysis)
°ÈÇнÀ (Reinforcement learning)
Àç±Í (Recursion) Àç±ÍÇÔ¼ö (Recursive Function)
·Îº¿ (Robot) ·Îº¿°øÇÐÀÇ 3¿øÄ¢ (Three Laws of Robotics) Àΰ£Çü ·Îº¿ (Humanoid Robot) ÀÚÀ¯µµ (Degrees of Freedom) Á¦¾î±â (Controller)
Robust Control
±ÔÄ¢±â¹Ý Àü¹®°¡½Ã½ºÅÛ (Rule-base Expert System)
ÀÚ±âÁ¶Á÷È (Self Organization)
ÀÚ±âÁ¶Á÷È Áöµµ (Self-Organizing Map) : SOM, Kohonen Network
Àǹ̷Р(Semantics) Àǹ̸Á (Semantic Network) ÀǹÌÀ¥ (Semantic Web) Àǹ̺м® (Semantic Analysis)
Ãִܰæ·Î ã±â ¹®Á¦ (Shortest Path Finding Problem)
¼¸íÀÎ½Ä (Signature Verification)
À¯¿¬ÇÑ ÄÄÇ»ÆÃ (Soft Computing)
¾ð¾î (Speech) ¾ð¾î¿¬¼â (Speech Chain)
À½¼ºÀÎ½Ä (Speech Recognition) : À½¼ºÇÕ¼º (Speech Systhesis) À½¼ºÀÌÇØ (Speech Understanding)
È®·ü ±Ù»ç (Stochastic Approximation)
ÁöµµÇнÀ (Supervised Learning)
½Ã°£ Ãß·Ð (Temporal Reasoning)
¹®¼ºÐ·ù (Text Categorization)
°è»êÀÌ·Ð (Theory of Computation)
½Ã°è¿ºÐ¼® (Time Series Analysis)
º¯Çü-»ý¼º¹®¹ý (Transformational-Generative Grammar)
¼øÈ¸ÆÇ¸Å¿ø ¹®Á¦ (Traveling Salesman Problem)
Æ©¸µ ±â°è (Turing Machine) : Æ©¸µ Å×½ºÆ® (Turing Test) Æ©¸µ ¸íÁ¦ (Turing Thesis) Æ©¸µ »ó(Turing Award)
°áÁ¤ºÒ°¡´É¼º (Undecidable)
¹ü¿ë±â°è (Universal Machine) : ±«µ¨ : ¿µ¿øÇÑ ºÒ¿ÏÀü¼ºÀÇ ÀϺÎ
ÀÚÀ²ÇнÀ (Unsupervised Learning)
È¿¿ëÀÌ·Ð (Utility Theory) : ±â´ëÈ¿¿ë ÃÖ´ëÈ (Maximum Expected Utility)
³í¸®½Ä (well formed formula, wff)