Knowledge Representation in PARKA - Part 2: Experiments, Analysis, and Enhancements

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dc.contributor.authorSpector, Leeen_US
dc.contributor.authorAndersen, Williamen_US
dc.contributor.authorHendler, James A.en_US
dc.contributor.authorKettler, Brianen_US
dc.contributor.authorSchwartzman, Eugeneen_US
dc.contributor.authorWoods, Cynthiaen_US
dc.contributor.authorEvett, Matthewen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:49:58Z
dc.date.available2007-05-23T09:49:58Z
dc.date.issued1992en_US
dc.description.abstractOur research group has designed and implemented a symbolic knowledge representation system called PARKA which runs on the Connection Machine, a massively parallel SIMD computer [9]. The semantics of this system are discussed in [11]. The details of the Connection Machine implementation and discussions of performance considerations can be found in [3], [4], [5], [6] and [7]. In the past year the PARKA project has made significant advances along several fronts of both theoretical and practical significance. This paper summarizes some of this work and outlines directions for further research.en_US
dc.format.extent1225791 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5192
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1992-10en_US
dc.subjectexpert systems en_US
dc.subjectparallel architectures - artificial intelligenceen_US
dc.subjectSystems Integrationen_US
dc.titleKnowledge Representation in PARKA - Part 2: Experiments, Analysis, and Enhancementsen_US
dc.typeTechnical Reporten_US

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