%0 Report %@ 164 %A Hendrix, Gary G. %T Encoding Knowledge In Partitioned Networks %C 333 Ravenswood Ave., Menlo Park, CA 94025 %I AI Center, SRI International %D 1978 %K Networks!Partition %X 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. %U http://www.ai.sri.com/pubs/files/734.pdf
