Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6440
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dc.creatorValdes-Perez, Raul E.-
dc.date2004-10-04T14:56:24Z-
dc.date2004-10-04T14:56:24Z-
dc.date1986-05-01-
dc.date.accessioned2013-10-09T02:45:27Z-
dc.date.available2013-10-09T02:45:27Z-
dc.date.issued2013-10-09-
dc.identifierAIM-875-
dc.identifierhttp://hdl.handle.net/1721.1/6440-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionTime and space are sufficiently similar to warrant in certain cases a common representation in AI problem-solving systems. What is represented is often the constraints that hold between objects, and a concern is the overall consistency of a set of constraints. This paper scrutinizes two current approaches to spatio-temporal reasoning. The suitableness of Allen's temporal algebra for constraint networks is influenced directly by the mathematical properties of the algebra. These properties are extracted by a formulation as a network of set-theoretic relations, such that some previous theorems due to Montanari apply. Some new theorems concerning consistency of these temporal constraint networks are also presented.-
dc.format5237058 bytes-
dc.format1970537 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-875-
dc.titleSpatio-Temporal Reasoning and Linear Inequalities-
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