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dc.contributor.authorBouquet, Paolo
dc.contributor.authorGiunchiglia, Enrico
dc.contributor.authorGiunchiglia, Fausto
dc.date.accessioned2007-04-03T08:14:28Z
dc.date.available2007-04-03T08:14:28Z
dc.date.issued1996
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/2613
dc.description.abstractIt has been recognized that AI programs suffer from a lack of generality, the first gross symptom being that a small variation to the problem being solved usually causes a major revision of the theory describing it. The lack of generality seems an unavoidable consequence of the process of approximating the world while building theories about it. In this paper we propose an approach where generality is achieved by formulating, for each problem at hand, an appropriate local theory, a theory containing the needed information. The process of theory formulation and reformulation is formalized using contexts.
dc.format.extent11
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 1996 Vol. 3 Núm. 1 [ -2 ]p.47-57
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherGenerality
dc.subject.otherArtificial intelligence
dc.titleContexts, locality and generality
dc.typeArticle
dc.subject.lemacLògica matemàtica
dc.subject.lemacIntel·ligència artificial
dc.subject.lemacSistemes experts (Informàtica)
dc.subject.amsClassificació AMS::68 Computer science::68T Artificial intelligence
dc.rights.accessOpen Access


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain