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:  Prof. Kenneth D. Forbus

PREREQUISITES: EECS 348, EECS 325

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