Encoding Knowledge In Partitioned Networks
by Hendrix, Gary G.
Technical Note 164
Institution: AI Center, SRI International
Address: 333 Ravenswood Ave., Menlo Park, CA 94025
Jun 1978.
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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