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CPSC-57100 Artificial Intelligence 1


Topics central to Artificial Intelligence are covered, including knowledge representation, the predicate calculus, goal-directed and data-directed search techniques, and rule-based expert systems. Two languages for problem solving is presented: LISP and PROLOG.

Learning Objectives:

  1. Explain the design of intelligent agents.
  2. Demonstrate basic heuristic search strategies and algorithms.
  3. Discuss techniques underlying game programs.
  4. Employ knowledge representation techniques.
  5. Use various strategies of reasoning.
  6. Use machine learning algorithms.
  7. Explain the concepts of intelligent agents and rationality.
  8. Employ a variety of artificial intelligence techniques for solving problems.
  9. Describe how intelligent agents can learn over time.

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