Show simple item record

dc.contributor.authorBouquet, Paolo
dc.contributor.authorGiunchiglia, Enrico
dc.contributor.authorGiunchiglia, Fausto
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.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.subject.otherArtificial intelligence
dc.titleContexts, locality and generality
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

Files in this item


This item appears in the following Collection(s)

Show simple item record

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