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From knowledge-based programs to graded belief-based programs, part II: off-line reasoning

dc.contributor.authorLaverny, Noël
dc.contributor.authorLang, Jérôme
dc.date.accessioned2010-12-16T10:52:24Z
dc.date.available2010-12-16T10:52:24Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5319
dc.language.isoenen
dc.subjectoffline reasoningen
dc.subjectknowledge-based programen
dc.subjectbelief-based programen
dc.subject.ddc006.3en
dc.titleFrom knowledge-based programs to graded belief-based programs, part II: off-line reasoningen
dc.typeCommunication / Conférence
dc.description.abstractenBelief-based programs generalize knowledge- based programs [Fagin et al., 1995] by allowing for incorrect beliefs, unreliable observations, and branching conditions that refer to implicit graded beliefs, such as in “while my belief about the direction to the railway station is not strong enough do ask someone”. We show how to reason off-line about the possible executions of a belief-based program, which calls for introducing second-order uncertainty in the model.en
dc.identifier.citationpages497-502en
dc.relation.ispartoftitleIJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, 2005.en
dc.relation.ispartofeditorKaelbling, Leslie Pack
dc.relation.ispartofeditorSaffiotti, Alessandro
dc.relation.ispartofpublnameProfessional Book Centeren
dc.relation.ispartofdate2005
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn0938075934en
dc.relation.conftitle19th International Joint Conference on Artificial Intelligence (IJCAI-2005)en
dc.relation.confdate2005
dc.relation.confcityEdimbourgen
dc.relation.confcountryRoyaume-Unien


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