Encyclopedia of Cognitive Science

Encyclopedia of Cognitive Science

Online ISBN: 9780470018866

DOI: 10.1002/0470018860

Browse by Topic

  1. Biography
  2. Computer Science
    1. ACT
    2. Adaptive Resonance Theory
    3. Analogy-Making, Computational Models of
    4. Artificial Life
    5. Attractor Networks
    6. Backpropagation
    7. Bayesian and Computational Learning Theory
    8. Bayesian Belief Networks
    9. Binding Problem
    10. Catastrophic Forgetting in Connectionist Networks
    11. Classifier Systems
    12. Cognitive Processing through the Interaction of Many Agents
    13. Computability and Computational Complexity
    14. Computation, Formal Models of
    15. Computational Models of Cognition: Constraining
    16. Computational Models: Why Build Them?
    17. Computer Modeling of Cognition: Levels of Analysis
    18. Computer Vision
    19. Concept Learning and Categorization: Models
    20. Connectionism
    21. Connectionist Architectures: Optimization
    22. Connectionist Implementationalism and Hybrid Systems
    23. Constraint Satisfaction
    24. Convolution-Based Memory Models
    25. Cooperative and Collaborative Learning
    26. Distributed Representations
    27. Dynamical Systems Hypothesis in Cognitive Science
    28. Dynamical Systems: Mathematics
    29. Evolutionary Algorithms
    30. Expert Systems
    31. Frame Problem, the
    32. Fuzzy Logic
    33. Game-Playing Programs
    34. Hill-climbing Search
    35. History of Cognitive Science and Computational Modeling
    36. Implicit Learning Models
    37. Inference using Formal Logics
    38. Intelligent Tutoring Systems
    39. Knowledge Representation
    40. Language Learning, Computational Models of
    41. Learning from Advice
    42. Learning Rules and Productions
    43. Learning through Case Analysis
    44. Machine Learning
    45. Machine Translation
    46. Markov Decision Processes, Learning of
    47. Means–Ends Analysis
    48. Modeling Coordinate Transformations
    49. Modeling Individual Neurons and Small Neural Networks
    50. Motor Control: Models
    51. Natural Language Processing
    52. Natural Language Processing, Disambiguation in
    53. Natural Language Processing, Statistical Approaches to
    54. Natural Language Processing: Models of Roger Schank and his Students
    55. Navigation
    56. Neural Behavior: Mathematical Models
    57. Non-Monotonic Logic
    58. Pattern Recognition, Statistical
    59. Perceptron
    60. Problem Solving
    61. Production Systems and Rule-Based Inference
    62. Rate versus Temporal Coding Models
    63. Real-Valued Computation and Complexity
    64. Real-Valued Mathematical Tools for Cognitive Modeling
    65. Reasoning about Time
    66. Reasoning under Uncertainty
    67. Reinforcement Learning: A Computational Perspective
    68. Representations Using Formal Logics
    69. Resolution Theorem Proving
    70. Robotics
    71. Samuel's Checkers Player
    72. Search
    73. Search, Adversarial
    74. Semantic Networks
    75. SHRDLU
    76. Situated Cognition
    77. Situated Robotics
    78. Skill Acquisition: Models
    79. Soar
    80. Sparse Distributed Memory
    81. Spatial Representation and Reasoning
    82. Speech Perception and Recognition, Theories and Models of
    83. Spreading-Activation Networks
    84. Story Understanding
    85. STRIPS
    86. Supervenience
    87. Symbol-grounding Problem
    88. Symbolic versus Subsymbolic
    89. Syntax and Semantics: Formal Approaches
    90. Unified Theories of Cognition
    91. User Interface Design
    92. Vision, Early
    93. Vision, High-Level
    94. Working Memory, Computational Models of
    95. ACT
    96. Adaptive Resonance Theory
    97. Analogy-Making, Computational Models of
    98. Artificial Life
    99. Attractor Networks
    100. Backpropagation
    101. Bayesian and Computational Learning Theory
    102. Bayesian Belief Networks
    103. Binding Problem
    104. Catastrophic Forgetting in Connectionist Networks
    105. Classifier Systems
    106. Cognitive Processing through the Interaction of Many Agents
    107. Computability and Computational Complexity
    108. Computation, Formal Models of
    109. Computational Models of Cognition: Constraining
    110. Computational Models: Why Build Them?
    111. Computer Modeling of Cognition: Levels of Analysis
    112. Computer Vision
    113. Concept Learning and Categorization: Models
    114. Connectionism
    115. Connectionist Architectures: Optimization
    116. Connectionist Implementationalism and Hybrid Systems
    117. Constraint Satisfaction
    118. Convolution-Based Memory Models
    119. Cooperative and Collaborative Learning
    120. Distributed Representations
    121. Dynamical Systems Hypothesis in Cognitive Science
    122. Dynamical Systems: Mathematics
    123. Evolutionary Algorithms
    124. Expert Systems
    125. Frame Problem, the
    126. Fuzzy Logic
    127. Game-Playing Programs
    128. Hill-climbing Search
    129. History of Cognitive Science and Computational Modeling
    130. Implicit Learning Models
    131. Inference using Formal Logics
    132. Intelligent Tutoring Systems
    133. Knowledge Representation
    134. Language Learning, Computational Models of
    135. Learning from Advice
    136. Learning Rules and Productions
    137. Learning through Case Analysis
    138. Machine Learning
    139. Machine Translation
    140. Markov Decision Processes, Learning of
    141. Means–Ends Analysis
    142. Modeling Coordinate Transformations
    143. Modeling Individual Neurons and Small Neural Networks
    144. Motor Control: Models
    145. Natural Language Processing
    146. Natural Language Processing, Disambiguation in
    147. Natural Language Processing, Statistical Approaches to
    148. Natural Language Processing: Models of Roger Schank and his Students
    149. Navigation
    150. Neural Behavior: Mathematical Models
    151. Non-Monotonic Logic
    152. Pattern Recognition, Statistical
    153. Perceptron
    154. Problem Solving
    155. Production Systems and Rule-Based Inference
    156. Rate versus Temporal Coding Models
    157. Real-Valued Computation and Complexity
    158. Real-Valued Mathematical Tools for Cognitive Modeling
    159. Reasoning about Time
    160. Reasoning under Uncertainty
    161. Reinforcement Learning: A Computational Perspective
    162. Representations Using Formal Logics
    163. Resolution Theorem Proving
    164. Robotics
    165. Samuel's Checkers Player
    166. Search
    167. Search, Adversarial
    168. Semantic Networks
    169. SHRDLU
    170. Situated Cognition
    171. Situated Robotics
    172. Skill Acquisition: Models
    173. Soar
    174. Sparse Distributed Memory
    175. Spatial Representation and Reasoning
    176. Speech Perception and Recognition, Theories and Models of
    177. Spreading-Activation Networks
    178. Story Understanding
    179. STRIPS
    180. Supervenience
    181. Symbol-grounding Problem
    182. Symbolic versus Subsymbolic
    183. Syntax and Semantics: Formal Approaches
    184. Unified Theories of Cognition
    185. User Interface Design
    186. Vision, Early
    187. Vision, High-Level
    188. Working Memory, Computational Models of
  3. Economics
  4. Education
  5. Evolutionary Biology and Anthropology
  6. General
  7. Lingistics
  8. Neuroscience
  9. Philosophy
  10. Psychology

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