Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1869
DC FieldValueLanguage
dc.contributor.authorWashbrook, John-
dc.contributor.authorKeravnou-Papailiou, Elpida-
dc.date.accessioned2013-02-14T11:06:50Zen
dc.date.accessioned2013-05-17T05:22:07Z-
dc.date.accessioned2015-12-02T09:50:42Z-
dc.date.available2013-02-14T11:06:50Zen
dc.date.available2013-05-17T05:22:07Z-
dc.date.available2015-12-02T09:50:42Z-
dc.date.issued2002-09-17-
dc.identifier.citationComputational intelligence, 2002, vol. 17, no. Issue 1, pp. 87-131en_US
dc.identifier.issn14678640-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1869-
dc.description.abstractDiagnostic problem solving aims to account for, or explain, a malfunction of a system (human or other). Any plausible potential diagnostic solution must satisfy some minimum criteria relevant to the application. Often there will be several plausible solutions, and further criteria will be required to select the "best" explanation. Expert diagnosticians may employ different, complex criteria at different stages of their reasoning. These criteria may be combinations of some more primitive criteria, which therefore should be represented separately and explicitly to permit their flexible and transparent combined usage. In diagnostic reasoning there is a tight coupling between the formation of potential solutions and their evaluation. This is the essence of abductive reasoning. This article presents an abductive framework for diagnostic problem solving. Time-objects, an association of a property and an existence, are used as the representation formalism and a number of primitive, general evaluation criteria into which time has been integrated are defined. Each criterion provides an intuitive yardstick for evaluating the space of potential solutions. The criteria can be combined as appropriate for particular applications to define plausible and best explanations. The central principle is that when time is diagnostically significant, it should be modeled explicitly to enable a more accurate formulation and evaluation of diagnostic solutions. The integration of time and primitive evaluation criteria is illustrated through the Skeletal Dysplasias Diagnostician (SDD) system, a diagnostic expert system for a real-life medical domain. SDD's notions of plausible and best explanation are reviewed so as to show the difficulties in formalizing such notions. Although we illustrate our work by medical problems, it has been motivated by consideration of problems in a number of other domains (fermentation monitoring, air and ground traffic control, power distribution) and is intended to be of wide applicabilityen_US
dc.language.isoenen_US
dc.relation.ispartofComputational Intelligenceen_US
dc.rights© Wileyen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputational intelligenceen_US
dc.subjectExpert systems (Computer science)en_US
dc.subjectFormal languagesen_US
dc.subjectObject-oriented programming (Computer science)en_US
dc.subjectComputer scienceen_US
dc.titleAbductive diagnosis using time-objects: criteria for the evaluation of solutionsen_US
dc.typeArticleen_US
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsHybrid Open Accessen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1111/0824-7935.00135en_US
dc.dept.handle123456789/54en
dc.relation.issue1en_US
dc.relation.volume17en_US
cut.common.academicyear2002-2003en_US
dc.identifier.spage87en_US
dc.identifier.epage131en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1467-8640-
crisitem.journal.publisherWiley-
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