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dc.contributor.authorDupin de Saint-Cyr, Florence
HAL ID: 740881
ORCID: 0000-0001-7891-9920
*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorLang, Jérôme*
dc.date.accessioned2010-11-18T10:16:17Z
dc.date.available2010-11-18T10:16:17Z
dc.date.issued2011
dc.identifier.issn0004-3702
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5103
dc.language.isoenen
dc.subjectReasoning about change
dc.subjectTemporal reasoning
dc.subjectBelief change
dc.subjectBelief revision
dc.subject.ddc006.3en
dc.titleBelief extrapolation (or how to reason about observations and unpredicted change)
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenWe give a logical framework for reasoning with observations at different time points. We call belief extrapolation the process of completing initial belief sets stemming from observations by assuming minimal change. We give a general semantics and we propose several extrapolation operators. We study some key properties verified by these operators and we address computational issues. We study in detail the position of belief extrapolation with respect to revision and update: in particular, belief extrapolation is shown to be a specific form of time-stamped belief revision. Several related lines of work are positioned with respect to belief extrapolation.
dc.relation.isversionofjnlnameArtificial Intelligence
dc.relation.isversionofjnlvol175
dc.relation.isversionofjnlissue2
dc.relation.isversionofjnldate2011
dc.relation.isversionofjnlpages760-790
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/j.artint.2010.11.002
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherElsevier
dc.subject.ddclabelIntelligence artificielleen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.relation.Isversionofjnlpeerreviewedoui
dc.date.updated2017-01-06T17:47:01Z
hal.author.functionaut
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