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Semantic Networks

1 Chapters , , Some material adopted from notes by Andreas Geyer-Schulz and Chuck Dyer Overview Approaches to knowledge representation Deductive/logical methods Forward-chaining production rule systems Semantic Networks Frame-based systems Description logics Abductive/uncertain methods What s abduction? Why do we need uncertainty? Bayesian reasoning Other methods: Default reasoning, rule-based methods, Dempster-Shafer theory, fuzzy reasoning Introduction Real knowledge representation and reasoning systems come in several major varieties These differ in their intended use, expressivity, features.

– Fuzzy logic – Truth maintenance systems – Nonmonotonic reasoning Abductive reasoning • Definition (Encyclopedia Britannica): reasoning that derives an explanatory hypothesis from a given set of facts – The inference result is a hypothesis that, if true, could explain the occurrence of the given facts • Examples

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