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COURSE DESCRIPTION: Principles and practices of knowledge representation, including logics, ontologies, common sense knowledge, and semantic web technologies.
- Prerequisite: 348, 325, or equivalent experience with artificial intelligence.
- This course satisfies the project requirement.
REQUIRED TEXTBOOKS: R. Brachman & H. Levesque, "Knowledge Representation and Reasoning," Morgan-Kaufmann.
COURSE COORDINATOR: Kenneth D. Forbus
FINAL EXAM: No
COURSE TYPICALLY OFFERED: Winter Term
MAJOR: Computer Science
MAJOR/MINOR REQUIREMENTS THIS COURSE MAY FULFILL:
AI Elective, also advanced Cognitive Science course for Cognitive Science majors in WCAS