Expanding the Utility of Semantic Networks Through Partitioning

Abstract

An augmentation of semantic networks is presented in which the various nodes and arcs are partitioned into "net spaces." These net spaces delimit the scopes of quantified variables, distinguish hypothetical and imaginary situations from reality, encode alternative worlds considered in planning, and focus attention at particular levels of detail.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1975
Accession Number
ADA458082

Entities

People

  • Gary G. Hendrix

Organizations

  • SRI International

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  • Neural Network Machine Learning.
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Technology Areas

  • Space