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dc.contributor.authorMacDonald, Bruce A.eng
dc.date.accessioned2008-02-26T22:37:38Z
dc.date.available2008-02-26T22:37:38Z
dc.date.issued1988-01-01eng
dc.identifier.urihttp://hdl.handle.net/1880/45569
dc.description.abstractRecently there has been renewed interest in neural-like processing systems, evidenced for example in the two volumes Parallel Distributed Processing edited by Rumelhart and McClelland, and discussed as parallel distributed systems, connectionist models, neural nets, value passing systems and multiple context systems. Dissatisfaction with symbolic manipulation paradigms for artificial intelligence seems partly responsible for this attention, encouraged by the promise of massively parallel systems implemented in hardware. This paper relates simple neural-like systems based on multiple context to some other well-known formalisms--namely production systems, k-length sequence prediction, finite-state machines and Turing machines--and presents earlier sequence prediction results in a new light.eng
dc.language.isoEngeng
dc.subjectComputer Scienceeng
dc.titleCONNECTING TO THE PASTeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1988-290-02eng
dc.date.computerscience1999-05-27eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30887
thesis.degree.disciplineComputer Scienceeng


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