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2016-17

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CSE 463LR Knowledge Representation
Computer Science & Engineering

Introduces the field of knowledge representation and reasoning, the branch of artificial intelligence concerned with the techniques for representing and reasoning about the information to be used by an AI program. Topics typically include: the knowledge-representation hypothesis; propositional and first-order logic; model finding; resolution; syntactic proof theory; direct and refutation methods; relevance logic; truth maintenance and belief revision; commonsense reasoning; ontologies. Other topics that may be included as time permits are: modal logics; non-monotonic, defeasible, and default logics; logics of knowledge and belief; frames; description logics; vague and uncertain beliefs; logics of actions and time.

Credits: 4
Semester(s) Typically Offered: Fall, Spring
Grading: Graded (GRD)
Pre-Requisites: CSE 305 or Permission of instructor


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