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22
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Course Description

Counterfeit consciousness (AI) is the insight showed by machines or programming. It is likewise the name of the scholarly field of study which ponders how to make PCs and PC programming that are equipped for insightful conduct.

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Course Syllabus
  • 1 - Introduction and Scope
  • 2 - Reasoning: Goal Trees and Problem Solving
  • 3 - Reasoning: Goal Trees and Rule-Based Expert Systems
  • 4 - Search: Depth-First, Hill Climbing, Beam
  • 5 - Search: Optimal, Branch and Bound, A*
  • 6 - Search: Games, Minimax, and Alpha-Beta
  • 7 - Constraints: Interpreting Line Drawings
  • 8 - Constraints: Search, Domain Reduction
  • 9 - Constraints: Visual Object Recognition
  • 10 - Introduction to Learning, Nearest Neighbors
  • 11 - Learning: Identification Trees, Disorder
  • 12 - Learning: Neural Nets, Back Propagation
  • 13 - Learning: Genetic Algorithms
  • 14 - Learning: Sparse Spaces, Phonology
  • 15 - Learning: Near Misses, Felicity Conditions
  • 16 - Learning: Support Vector Machines
  • 17 - Learning: Boosting
  • 18 - Representations: Classes, Trajectories, Transitions
  • 19 - Architectures: GPS, SOAR, Subsumption, Society of Mind
  • 20 - Probabilistic Inference I
  • 21 - Probabilistic Inference II
  • 22 - Model Merging, Cross-Modal Coupling, Course Summary
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