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Taxonomic Syntax for First-Order Inference

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dc.creator McAllester, David
dc.creator Givan, Robert
dc.date 2004-10-04T15:13:17Z
dc.date 2004-10-04T15:13:17Z
dc.date 1989-06-01
dc.date.accessioned 2013-10-09T02:45:49Z
dc.date.available 2013-10-09T02:45:49Z
dc.date.issued 2013-10-09
dc.identifier AIM-1134
dc.identifier http://hdl.handle.net/1721.1/6507
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas in first order predicate calculus. Although designers of knowledge representation languages often express an intuitive feeling that there must be some advantage to representing facts as taxonomic relationships rather than first order formulas, there are few, if any, technical results supporting this intuition. We attempt to remedy this situation by presenting a taxonomic syntax for first order predicate calculus and a series of theorems that support the claim that taxonomic syntax is superior to classical syntax.
dc.format 2814691 bytes
dc.format 2220235 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-1134
dc.title Taxonomic Syntax for First-Order Inference


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