Qualitative Modeling with Temporal Causality Network and Quantity Network

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dc.contributor.authorYoon, Wan Chulko
dc.date.accessioned2013-02-27T05:21:55Z-
dc.date.available2013-02-27T05:21:55Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1989-
dc.identifier.citationPROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CYBERNETICS AND SOCIETY, v.0, no.0, pp.1009 - 1010-
dc.identifier.urihttp://hdl.handle.net/10203/66679-
dc.description.abstractA qualitative reasoning scheme with explicit temporal expression is presented. Its aim is to develop a possible solution for the fundamental problem of temporal reasoning and ambiguity rather than to refine the existing techniques for a specific domain. The proposed system represents the system behavior in the form of a partially ordered network. Time intervals may be defined in terms of relative lengths in a quantity space. Such explicit description of temporal quantities helps reduce ambiguity in qualitative simulation. An independent quantity space management system organizes the qualitative reasoning about physical and temporal quantities.-
dc.languageEnglish-
dc.publisherIEEE International Conference on-
dc.titleQualitative Modeling with Temporal Causality Network and Quantity Network-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume0-
dc.citation.issue0-
dc.citation.beginningpage1009-
dc.citation.endingpage1010-
dc.citation.publicationnamePROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CYBERNETICS AND SOCIETY-
dc.contributor.localauthorYoon, Wan Chul-
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IE-Journal Papers(저널논문)
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