Review

• Introduction
  • What is intelligence?
  • Divisions
  • AI and other cognitive sciences
• Search
  • Problem solving as search
  • *Simple search
  • (*)Heuristic search
• Representation and Reasoning
  • Representation I
  • Representation II
  • *Predicate calculus
  • Inference and resolution
  • Resolution theorem proving
  • *Unification
  • Conversion to clause form
  • Theorem proving as search
  • Production systems, *examples
  • (Prolog)
• Learning and Connectionism
  • Learning I
  • Learning II
  • Connectionism I
  • Connectionist vs. symbolic models
  • *Symmetric recurrent networks
  • Feedforward networks: perceptrons
  • Feedforward networks: backpropagation
  • Unsupervised connectionist learning
  • (Time in connectionist networks)
• Perception and Understanding
  • Perception
  • Natural language tasks
  • Parsing I
  • *Context-free grammars and recursive transition networks
  • Beyond simple CFGs
  • Miscellaneous NLP issues
  • Vision: edge detection
  • Vision: object recognition by template matching
• Evolution, Action, etc.
  • (*)Evolution and genetic algorithms
  • Robotics: some issues
  • Planning
  • Uncertainty

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  Last updated: 29 April 1997
  URL: http://www.indiana.edu/~gasser/Q351/review.html
  Comments: gasser@salsa.indiana.edu
  Copyright 1996, The Trustees of Indiana University

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