Larry M. Stephens

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Organizational knowledge typically comes from numerous independent sources, each with its own semantics. This paper describes a methodology by which information from large numbers of such sources can be associated, organized, and merged. The hypothesis is that a multiplicity of ontology fragments, representing the semantics of the independent sources, can(More)
MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge·based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns, as well as user interests and preferences during system usage, it customizes document retrievals for each(More)
This paper defines principles for organizing semantic relations represented by slots in frame-structured knowledge bases. We consider not only the ways that slots are used in reasoning about a given domain but also the features of the representation language of the knowledge-based system in which the slots reside. We find that the organization of slots may(More)
This paper explores the specification and semantics of multiagent problem-solving systems, focusing on the representations that agents have of each other. It provides a declarative representation for such systems. Several procedural solutions to a well-known test-bed problem are considered, and the requirements they impose on different agents are(More)