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dc.contributor.authorFahlman, Scott E.en_US
dc.date.accessioned2004-10-04T14:46:46Z
dc.date.available2004-10-04T14:46:46Z
dc.date.issued1975-05-01en_US
dc.identifier.otherAIM-331en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6232
dc.description.abstractThis paper describes progress to date in the development of a system for representing various forms of real-world knowledge. The knowledge is stored in the form of a net of simple parallel processing elements, which allow certain types of deduction and set-intersection to be performed very quickly and easily. It is claimed that this approach offers definite advantages for recognition and many other data-accessing tasks. Suggestions are included for the application of this system as a tool in vision, natural-language processing, speech recognition, and other problem domains.en_US
dc.format.extent8345164 bytes
dc.format.extent6089044 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-331en_US
dc.titleThesis Progress Report: A System for Representing and Using Real-World Knowledgeen_US


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