The course will presuppose familiarity with AI programming techniques and research methods. Specific topics include: logic-based representations, semantic networks, frame-based representations, rule-based methods, object oriented methods, conceptual dependency networks, nonmonotonic reasoning, and specific issues in representation of casual, temporal, and spatial relations.
- Credits: 3
- Frequency: Infrequently
- CS 2710 FOUNDATIONS OF ARTIFICIAL INTELLIGENCE (ISSP 2160)
- or consent of instructor.