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CS 320

Artificial Intelligence

3 credits

Foundations and main methods of Artificial Intelligence. Problem characteristics and spaces. Search and optimization techniques with a focus on uninformed and heuristic algorithms. Two player games and constraint satisfaction. Modelling and simulation. Comparison of logic-based, fuzzy, and probabilistic reasoning and knowledge representation methodologies. ***Prerequisite: CS 220.*** *Note: Students may only receive credit for one of CS 320 or ENSE 411 (ENSE 496AC).*

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