Glossary of AI  

 

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A

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»óÁ¤³í¹ý (Abduction)

¾×Ãß¿¡ÀÌÅÍ (Actuator)

¾Æ´Þ¶óÀÎ (Adaline) 

¿¡ÀÌÀüÆ® (Agent)

¾Ë°í¸®Áò (Algorithm)

¾ËÆÄº£Å¸ °¡ÁöÄ¡±â (Alpha-Beta Pruning)

À¯Ãß (Analogy)

¾Èµå·ÎÀ̵å (Android)

ÀûÀÀ°ø¸íÀÌ·Ð (Adaptive Resonance Theory)

ÀΰøÁö´É (Artificial Intelligence)

ÀΰøÁö´É ºñÆÇ (AI Critique)

ÀΰøÁö´É ¾ð¾î (AI Language)

Àΰø¾ð¾î (Artificial Language)

ÀΰøÀÇ½Ä (Artificial Consciousness)

Àΰø»ý¸í (Artificial Life)

ÀΰøÄÚ (Artificial Nose)

A* ¾Ë°í¸®Áò (A* Algorithm)

¿¬»ó (Association)   ¿¬»ó¸Þ¸ð¸® (Associative Memory)

ÁÖÀÇÁýÁß (Attention)

û°¢ (Auditory Sense)

È®ÀåõÀ̹®¹ý (Augmented Transition Network)

¿ÀÅ丶Ÿ (Automata) : ¿ÀÅ丶Ÿ ÀÌ·Ð (Automata Theory)

ÀÚ»ý (Autopoiesis)

°ø¸® (Axiom)

B

Backus Naur Form (BNF)

¿ªÀüÆÄ (Back-propagation)

¿ªÃßÀû (Backtracking)

¹ÙµÏ (Baduk)

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)

Çൿ°úÇÐ (Behavioral Science)

ÇൿÁÖÀÇ (Behaviorism)

½Å³ä¼öÁ¤ (Belief Revision)

Æí°ß (Bias)

ÀÇ¿ë»ýü°øÇÐ (Biomedical Engineering)

»ýüÀÎ½Ä (Biometrics)

»ý¹°Á¤º¸ÇÐ (Bioinformatics)

ÈæÆÇ½Ã½ºÅÛ (Blackboard System)

º¼Â길 ¸Ó½Å (Boltzmann Machine)

ÀÚ·ÂÇâ»ó (Bootstrapping)

Bottom-up

ºÐ±âÇÑÁ¤¹ý (Branch and bound)

³Êºñ¿ì¼± Ž»ö (Breadth First Search) : ±íÀ̿켱 Ž»ö (Depth First Search)

³ú (Brain) : ³ú¶õ ¹«¾ùÀΰ¡?

C

Cardinality

»ç·Ê±â¹Ý Ãß·Ð (Case Based Reasoning)

°Ý¹®¹ý (Case Grammar)

¹üÁÖ (Category)

ÀΰúÀ² (Causality)

¼¼Æ÷ÀÚµ¿ÀÚ (Cellular Automata)

´ë³úÇÇÁú (Cerebral Cortex)

È®½Åµµ (Certainty Factor)

Ä«¿À½º (Chaos)

¹®ÀÚÀÎ½Ä (Character Recognition)

äÆÃ·Îº¿ (Chatterbot)

ü½º (Chess)

Áß±¹¾î¹æ ³íº¯ (Chinese Room Argument)

ÃνºÅ°°èÃþ (Chomsky Hierarchy)

ûũ (Chunk)

óġ-Æ©¸µ ¸íÁ¦ (Church-Turing Thesis)

Á¦ÇÑÈ­ (Circumscription) : ºñ´ÜÁ¶ Ãß·Ð (Nonmonotonic Reasoning)

´ÝÈù ¼¼°è °¡Á¤ (Closed World Assumption)

±ºÁýÈ­ (Clustering)

ÀÎÁö°úÇÐ (Cognitive Science) : ÀÎÁö (Cognition)   ÀÎÁö ½É¸®ÇÐ (Cognitive Psychology)

ÄÚ±×´ÏÆ®·Ð (Cognitron)

Á¶ÇÕ°ÔÀÓÀÌ·Ð (Combinatorial Game Theory)

Á¶ÇÕÃÖÀûÈ­ (Combinatorial Optimization)

»ó½Ä (Commonsense)

»ó½ÄÃß·Ð (Commonsense Reasoning)

°æÀï½Ä ½Å°æ¸Á (Competitive Neural Network)

¿ÏÀü¼ºÁ¤¸® (Completeness Theorem)

º¹Àâ°è (Complex System)

°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 (Computer)

ÄÄÇ»ÅͺñÀü (Computer Vision) : Machine Vision, Robot Vision

°³³äÀÇÁ¸ ÀÌ·Ð (Conceptual Dependency Theory)

Á¶°Ç¹Ý»ç (Conditioned Reflex)

¿¬°áÁÖÀÇ (Connectionism)

¿¬°á»ç (Connectives)

°³³ä (Concept)

ÀÇ½Ä (Consciousness)

Á¦¾àÁ¶°Ç ¸¸Á· ¹®Á¦ (Constraint Satisfaction Problem)

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)

¹Ý´ë¹æÇâ ÀüÆÄ ³×Æ®¿öÅ© (Counterpropagation Network)

âÀǼº (Creativity)

ÇǺΰ¨°¢ (Cutaneous Sense)

»çÀ̹ö³×ƽ½º (Cybernetics)

»çÀ̺¸±× (Cyborg)

D

µ¥ÀÌŸ¸¶ÀÌ´× (Data Mining)

Decision Boundaries

ÀÇ»ç°áÁ¤ (Decision Making)

ÀÇ»ç°áÁ¤ Æ®¸® (Decision Tree) : Æ®¸® (Tree)

¼±¾ðÇü ÇÁ·Î±×·¡¹Ö (Declarative Programming)

¿¬¿ª¹ý (Deduction)

±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)

Áø´Ü (Diagnosis)

ÀÌ»ê¼öÇÐ (Discrete Mathematics)

E

°æÁ¦ÇÐ (Economics)

³úÀüµµ (EEG)

°íÀ¯Ä¡ (Eigenvalue)

â¹ß (Emergence)

°¨Á¤ (Emotion)

¿¡³ÊÁö ÇÔ¼ö (Energy Function)

¿£Æ®·ÎÇÇ (Entropy)

°áÁ¤¹®Á¦ (Entscheidungsproblem)

ÀνķР(Epistemology)

ÆòÇü°¨°¢ (Equilibrium Sense)

¿¡·¯ (Errors) : Àü¹®°¡½Ã½ºÅÛ (Expert System)

ÃßÁ¤ (Estimate)

±â´ëÄ¡ÃÖ´ëÈ­ ¾Ë°í¸®Áò (Expectation Maximization Algorithm)

Àü¹®°¡½Ã½ºÅÛ (Expert System) : Àü¹®¼º (Expertise)   Àü¹®°¡ (Expert)

¼³¸í (Explanation)

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

F

¾ó±¼ÀÎ½Ä (Face Recognition)

Çǵå¹é (Feedback)

ÇǵåÆ÷¿öµå (Feedforward)

5 ¼¼´ë ÄÄÇ»ÅÍ (Fifth Generation Computer)

Áö¹®ÀÎ½Ä (Finger Print Recognition)

À¯ÇÑ»óÅ ±â°è (Finite State Machine)

ÀÏÂ÷³í¸® (First-order Logic)

±â´ÉÀû ÀÚ±â°ø¸í¿µ»ó (fMRI)

¸Á°¢ (Forgetting)

Çü½Ä¹®¹ý (Formal Grammar)

Çü½ÄÈ­ (Formalization) : "±â°èÈ­" ¿Í °°Àº ÀǹÌ

Çü½Ä¾ð¾î (Formal Language)

Çü½ÄÃß·Ð (Formal Reasoning) : ³í¸® (Logic)

ÇÁ·¹ÀÓ (Frame)

ÇÁ¶ûÄ˽´Å¸ÀÎ (Frankenstein)

ÆÛÁö (Fuzzy)

G

°ÔÀÓ (Game) : »ý¸í °ÔÀÓ (Game of Life)   °ÔÀÓÀÌ·Ð (Game Theory)

À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)

À¯ÀüÇÐ (Genetics)

ÀϹÝÈ­ (Generalization)

±â¿ï±â Çϰ­ (Gradient Descent)

±×·¡ÇÁ (Graph)   ±×·¡ÇÁ ÀÌ·Ð (Graph Theory)

H

ÇÒ (HAL)

Á¤Áö¹®Á¦ (Halting Problem)

ÇϳëÀÌž (Tower of Hanoi)

ÀΰøÃ˰¨ (Haptics)

û°¢ (Hearing)

ÇñÀÇ ÇнÀ ±ÔÄ¢ (Hebbian learning rule)

ÈÞ¸®½ºÆ½ (Heuristic)

Àº´Ð ¸¶¸£ÄÚÇÁ ¸ðµ¨ (Hidden Markov Model)

¾ð´ö¿À¸£±â (Hill Climbing)

È÷½ºÅä±×·¥ (Histogram)

³ú¹Ý±¸ ÀÎü¸ðÇü (Homunculus)

È©ÇÊµå ³×Æ®¿öÅ© (Hopfield Network)

Horn Àý (Horn clause)

Àΰ£ ÄÄÇ»ÅÍ »óÈ£ÀÛ¿ë (Human Computer Interaction)

Àΰ£ÀÇ ¹®Á¦ (Human Problem)

I

ID3

Á¶°Ç¸íÁ¦ (Implication)

ºÒ¿ÏÀü¼ºÁ¤¸® (Incompleteness Theorem)

±Í³³¹ý (Induction)

Ãß·Ð (Inference)   Ãß·Ð (Reasoning) : Ã߷п£Áø (Inference Engine)   Ã߷бÔÄ¢ (Inference Rule)

Á¤º¸°Ë»ö (Information Retrieval)

Á¤º¸ÀÌ·Ð (Information Theory)

ÅëÂû (Insight)

Áö´É (Intelligence)

Áö´ÉÀû ¿¡ÀÌÀüÆ® (Intelligent Agent)

Áö´ÉÀû ±³À°½Ã½ºÅÛ (Intelligent Tutoring System)

Áö´ÉÁö¼ö (IQ, Intelligent Qutient)

Intentionality

ÀÎÅÍÆäÀ̽º (Interface)

Á÷°ü (Intuition)

ºÀ ¼¼¿ì±â (Inverted Pendulum)

ȫäÀÎ½Ä (Iris Recognition)

J

K

Ä®¸¸ÇÊÅÍ (Kalman Filter)

Ä¿³Î (Kernel)

K-Æò±Õ ¾Ë°í¸®Áò (K-means Algorithm) : ±ºÁýÈ­ (Clustering)

K-ÃÖ±Ù¸° ºÐ·ù (K-Nearest Neighbor Classification)

¹è³¶¹®Á¦ (Knapsack problem)

Áö½Ä (Knowledge)  Áö½Ä°øÇÐ (Knowledge Engineering)  Áö½ÄÇ¥Çö (Knowledge Representation)   Áö½Äȹµæ (Knowledge Acquisition)

L

¶÷´Ù °è»ê¹ý (Lambda Calculus)

¾ð¾î (Language)

ÇнÀ (Learning)

»ç·Ê¿¡ ÀÇÇÑ ÇнÀ (Learning from Examples)

Learning Vector Quantization

ÃÖ¼ÒÀڽ (Least Square)

¿ìµµ (Likelihood)

¾ð¾î º¯¼ö (Linguistic Variable)

¾ð¾îÇÐ (Linguistics)

LISP

³í¸®ÇÐ (Logic)

³í¸®ÇÁ·Î±×·¡¹Ö (Logic Programming)

M

±â°èÇнÀ (Machine Learning)

±â°è ¹ø¿ª (Machine Translation)         

¸¶¸£ÄÚÇÁ ¾Ë°í¸®Áò (Markov Algorithm)

¼öÇÐ (Mathematics)

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)

±â¾ï (Memory)

¸¶À½ (Mind) : ½É¸®Ã¶ÇÐ (Philosophy of Mind)   

½É½Å¹®Á¦ (Mind-Body Problem)

ÃÖ¼ÒÃÖ´ë (Mini-max)

±â¾ï¼ú (Mnemonics)

¾ç»ó³í¸® (Modal Logic)

±àÁ¤½Ä (Modus Ponens)

ºÎÁ¤½Ä (Modus Tollens)

¿ø¼þÀÌ¿Í ¹Ù³ª³ª ¹®Á¦ (Monkey and Banana Problem)

¸óÅ×Ä®·Î ±â¹ý (Monte Carlo method)

´ÙÃþ ÆÛ¼ÁÆ®·Ð (Multilayer Perceptron)
MYCIN

N

Naive Bayesian Classification

³ª³ë±â¼ú (Nanotechnology)

³»½ÃÆòÇü (Nash Equilibrium)

ÀÚ¿¬¾îó¸® (Natural Language Processing)

ÃÖ±Ù¸° ºÐ·ù (Nearest Neighbour Classification)

½Å°æ°è (Nervous System)

½Å°æ¸Á (Neural Network) : Ȱ¼ºÈ­ ÇÔ¼ö (Activation Function)   Æí°ß (Bias)   

½Å°æ°úÇÐ (Neuroscience) : ½Å°æ¼¼Æ÷ (Neuron)   ½Å°æÀü´Þ¹°Áú (Neurotransmitter)

ºñ¼±Çü (Nonlinear)

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)

¼öÄ¡ÇØ¼® (Numerical Analysis)

O

¿ÀįÀÇ ¸éµµ³¯ (Occam's Razor)

Á¸Àç·Ð (Ontology)

°æ¿µ°úÇÐ (Operation Research)

±¤Çй®ÀÚÀÎ½Ä (Optical Character Recognition)

ÃÖÀûÈ­ (Optimization)

P

P and NP

º´·ÄºÐ»êó¸® (Parallel Distributed Processing)

Parallel Processing

ÆÄ·¹Åä ÃÖÀû (Pareto Optimal)

ÆÐÅÏÀÎ½Ä (Pattern Recognition)

Áö°¢ (Perception)

ÆÛ¼ÁÆ®·Ð (Perceptron)

¼º°Ý (Personality)

öÇÐ (Philosophy) : ¾ð¾îöÇÐ (Philosophy of Language)   ½É¸®Ã¶ÇÐ (Philosophy of Mind)   °úÇÐöÇÐ (Philosophy of Science)

À½¼º¹ß¼º (Phonation)

¹°¸®ÇÐ (Physics)

»ý¸®ÇÐ (Physiology)   ½Å°æ»ý¸®ÇÐ (Neurophysiology)

°èȹ (Planning)

¼ú¾î°è»ê(Predicate Calculus) : ¼ú¾î³í¸® (Predicate Logic)

Á˼öÀÇ µô·¹¸¶ °ÔÀÓ (Prisoner's dilemma game)

Æ÷½ºÆ® ½Ã½ºÅÛ (Post Systems)  

¿¹Ãø (Prediction)

È®·ü (Probability) : º£ÀÌÁîÈ®·ü (Bayesian Probability)

È®·üÃß·Ð (Probabilistic Reasoning)

¹®Á¦Çذá (Problem Solving)

»ý¼º±ÔÄ¢ (Production Rule)    »ý¼º½Ã½ºÅÛ (Production System)

PROLOG

¸íÁ¦°è»ê(Propositional Calculus) : ¸íÁ¦³í¸® (Propositional Logic)

ÀÇ»çÄÚµå (Pseudocode)

½É¸®ÇÐ (Psychology)

Q

ÀÚÁúÁ¶°Ç ¹®Á¦ (Qualification Problem)

Á¤¼ºÀû ¹°¸®ÇÐ (Qualitative Physics)   Á¤¼ºÀû Ãß·Ð (Qualitative Reasoning)

Á¤·®ÀÚ (Quantifier)

¾çÀÚÄÄÇ»ÅÍ (Quantum Computer)

ÁúÀÇÀÀ´ä ½Ã½ºÅÛ (Question Answering System)

R

ÇÕ¸®¼º (Rationality)

ȸ±ÍºÐ¼® (Regression Analysis)

°­È­ÇнÀ (Reinforcement learning)

Ãß·Ð (Reasoning)

Àç±Í (Recursion)   Àç±ÍÇÔ¼ö (Recursive Function)

ȯ¿ø (Reduction)

µµÃâ¹ý (Resolution)

Rete  algorithm

·Îº¿ (Robot)

Robust Control

±ÔÄ¢±â¹Ý Àü¹®°¡½Ã½ºÅÛ (Rule-base Expert System)

ÁÖ¸Ô±¸±¸ (Rule of Thumb)

S

°úÇÐ ¼Ò¼³ (Science Fiction)  

½ºÅ°¸¶ (Schema)

½ºÅ©¸³Æ® (Script)

Ž»ö (Search)

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)

¼¾¼­ (Sensor)

Ãִܰæ·Î ã±â ¹®Á¦ (Shortest Path Finding Problem)

¸ðÀÇ ´ã±ÝÁú (Simulated Annealing)

»óȲ³í¸® (Situation Calculus)

Èİ¢ (Smell, Olfactory Sense)

¸¶À½ÀÇ Á¶Á÷ (Society of Mind)

À¯¿¬ÇÑ ÄÄÇ»ÆÃ (Soft Computing)

°ø°£ Ãß·Ð (Spatial Reasoning)

¾ð¾î¿¬¼â (Speech Chain)

À½¼ºÀÎ½Ä (Speech Recognition) : À½¼ºÇÕ¼º (Speech Systhesis)   À½¼ºÀÌÇØ (Speech Understanding)

»óŰø°£ (State Space)

Åë°è (Statistics)

È®·ü ±Ù»ç (Stochastic Approximation)

°­ ÀΰøÁö´É (Strong AI)

ÁöµµÇнÀ (Supervised Learning)

Support Vector Machine

»ï´Ü³í¹ý (Syllogism)

±âÈ£ (Symbol)

±âÈ£³í¸®ÇÐ (Symbolic Logic)

½Ã³À½º (Synapse)

½Ã½ºÅÛ (System)

T

¹Ì°¢ (Taste)

Ç×Áø¸íÁ¦ (Tautology)

½Ã°£ Ãß·Ð (Temporal Reasoning)

¹®¼­ºÐ·ù (Text Categorization)

ÅØ½ºÆ®¸¶ÀÌ´× (Text Mining)

Á¤¸®Áõ¸í (Theorem Proving)

°è»êÀÌ·Ð (Theory of Computation)

»ç°í (Thinking)

ƽÅÃÅä (Tic-tac-toe)

½Ã°è¿­ºÐ¼® (Time Series Analysis)

ÇÏÇâ½Ä (Top-down)

º¯Çü-»ý¼º¹®¹ý (Transformational-Generative Grammar)

¼øÈ¸ÆÇ¸Å¿ø ¹®Á¦ (Traveling Salesman Problem)

Æ®¸® (Tree)

Áø¸®Ç¥ (Truth Table)

Æ©¸µ ±â°è (Turing Machine) : Æ©¸µ Å×½ºÆ® (Turing Test)   Æ©¸µ ¸íÁ¦ (Turing Thesis)

U

ºÒÈ®½Ç¼º (Uncertainty)

°áÁ¤ºÒ°¡´É¼º (Undecidable)

ÀÌÇØ (Understanding)

´ÜÀÏÈ­ (Unification)

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)

V

¹öÀü°ø°£ (Version Space)

½Ã°¢ (Vision)

W

¾à ÀΰøÁö´É (Weak AI)

³í¸®½Ä (well formed formula, wff)

X

Y

Z