Principles of semantic networks (original) (raw)

AI-generated Abstract

Semantic networks are a graphic notation for knowledge representation, emphasizing interconnected nodes and arcs. This article outlines several types of semantic networks, including definitional, assertional, implicational, executable, learning, and hybrid networks, each serving distinct functions in knowledge organization and reasoning. The paper discusses the applications of these networks in artificial intelligence, cognitive mechanisms, and comparisons between network and linear notations.

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