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EECS 371: Knowledge Representation and Reasoning

Quarter Offered

Winter : 3:30-4:50 TuTh ; Forbus

Description

COURSE DESCRIPTION: Principles and practices of knowledge representation, including logics, ontologies, common sense knowledge, and semantic web technologies.

  • Prerequisite: EECS 348 or EECS 325, or equivalent experience with artificial intelligence.
  • This course satisfies the Project Requirement, AI Breadth & AI Depth Requirement.

REQUIRED TEXTBOOKS:

  • R. Brachman & H. Levesque, "Knowledge Representation and Reasoning," Morgan-Kaufmann; ISBN-10: 1558609326, ISBN-13: 978-1558609327  
  • D. Allemang & J. Hendler, "Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL," 2nd Edition, Morgan-Kaufmann; ISBN-13: 978-0123859655/ISBN-10:  0123859654

COURSE COORDINATOR:  Prof. 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