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Knowledge Representation and Reasoning CMPT 721 (3)

Knowledge representation is the area of Artificial Intelligence concerned with how knowledge can be represented symbolically and manipulated by reasoning programs. This course addresses problems dealing with the design of languages for representing knowledge, the formal interpretation of these languages and the design of computational mechanisms for making inferences. Since much of Artificial Intelligence requires the specification of a large body of domain-specific knowledge, this area lies at the core of AI. Prerequisite: CMPT 310/710 recommended. Cross-listed course with CMPT 411.

Section Instructor Day/Time Location
G100 James Delgrande
Mo, We, Fr 2:30 PM – 3:20 PM
AQ 3159, Burnaby