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Artificial intelligence publications June 1, 1978

Encoding Knowledge In Partitioned Networks

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Hendrix, G. G. (1979). Encoding knowledge in partitioned networks. In Associative networks (pp. 51-92). Academic Press.

Abstract

This paper discusses network notations for encoding a number of different kinds of knowledge, including taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, beliefs, and wishes; and the relationships between syntactic units and their interpretations. Many of the encodings appeal to the concept of network partitioning, in which a large net is partitioned into subnets and higher-order relationships among the subnets are defined. Procedural mechanisms for constructing and using the various network formalisms are discussed as equal partners with the declarative structures.

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