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CS B351/COGS Q350: Intro to Artificial Intelligence and Computer Simulation

Fall 2013

Instructor: Kris Hauser

Overview

  • AI and cognitive science: Perspectives, goals, and history
  • Judging AI systems; the Turing test.
  • Introduction to intelligent agents

Problem-solving and search

  • The heuristic search hypothesis
  • Uninformed search
  • A* search
  • Local search

Applications of Search

  • Constraint satisfaction problems
  • Game playing, minimax, alpha-beta pruning
  • Planning
  • Motion planning

Reasoning under Uncertainty

  • Representing uncertainty
  • Planning with uncertainty
  • Probabilistic inference
  • Bayesian networks

Machine Learning

  • Decision tree learning
  • Neural networks
  • Support vector machines
  • Additional topics if time permits