Course:
Course Number:
Artificial Intelligence I
270
Description:
Goals of artificial intelligence, state-space search methods, optimal search, chronological backtracking, dependency-directed backtracking, BLOCKSWORLD, and/or trees and goals, question- answering, production systems, expert system examples, minimaxing with alpha-beta pruning and game playing. Control paradigms, GPS, geometric analogies, SOUNDEX code, propagating numeric constraints, inductive inference and computer learning, introduction to mechanical theorem proving for the propositional logic.
Prerequisites:
Credits:
CSC 120
3


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