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dc.contributor.authorHewitt, Carlen_US
dc.contributor.authorLieberman, Henryen_US
dc.date.accessioned2004-10-01T20:18:26Z
dc.date.available2004-10-01T20:18:26Z
dc.date.issued1983-11-01en_US
dc.identifier.otherAIM-750en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5653
dc.description.abstractDevelopment of highly intelligent computers requires a conceptual foundation that will overcome the limitations of the von Neumann architecture. Architectures for such a foundation should meet the following design goals: * Address the fundamental organizational issues of large-scale parallelism and sharing in a fully integrated way. This means attention to organizational principles, as well as hardware and software. * Serve as an experimental apparatus for testing large-scale artificial intelligence systems. * Explore the feasibility of an architecture based on abstractions, which serve as natural computational primitives for parallel processing. Such abstractions should be logically independent of their software and hardware host implementations. In this paper we lay out some of the fundamental design issues in parallel architectures for Artificial Intelligence, delineate limitations of previous parallel architectures, and outline a new approach that we are pursuing.en_US
dc.format.extent15 p.en_US
dc.format.extent2930263 bytes
dc.format.extent2278575 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-750en_US
dc.subjectarchitectureen_US
dc.subjectparallelismen_US
dc.subjectactorsen_US
dc.subjectAct2en_US
dc.subjectartificial intelligenceen_US
dc.subjectsApiaryen_US
dc.subjectmessage passingen_US
dc.subjectreasoningen_US
dc.titleDesign Issues in Parallel Architecture for Artificial Intelligenceen_US


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