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Taxonomic Syntax for First-Order Inference

dc.date.accessioned2004-10-04T15:13:17Z
dc.date.accessioned2018-11-24T10:14:24Z
dc.date.available2004-10-04T15:13:17Z
dc.date.available2018-11-24T10:14:24Z
dc.date.issued1989-06-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6507
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6507
dc.description.abstractMost 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.en_US
dc.format.extent2814691 bytes
dc.format.extent2220235 bytes
dc.language.isoen_US
dc.titleTaxonomic Syntax for First-Order Inferenceen_US


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