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dc.contributor.authorRenault, Jérôme
dc.date.accessioned2011-04-29T07:52:14Z
dc.date.available2011-04-29T07:52:14Z
dc.date.issued2001
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6104
dc.language.isoenen
dc.subjectRepeated gamesen
dc.subjectsignallingen
dc.subjectlearning seten
dc.subject.ddc519en
dc.subject.classificationjelC7en
dc.titleLearning Sets in State Dependent Signalling Game Forms: A Characterizationen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenWe consider repeated game forms with incomplete information and state dependent signalling structure. We study the information a player can learn about the state of nature through a communication procedure, in a way robust to unilateral deviations. More precisely, we say that player i can distinguish state {omega} from state {omega}' if there exists a strategy profile such that if {omega} is the true state and at most one player deviates from the profile, then player i will know after a finite number of stages that {omega}' is not the true state. The learning set of player i at {omega} is the set of states that player i cannot distinguish from {omega}. It corresponds to the information player i can learn, in a way immune against unilateral deviations, if the state is {omega} and players communicate through the game form for a finite number of stages. This notion was introduced in a joint paper with T. Tomala (Renault and Tomala 2000). We provide here a general characterization of the learning sets.en
dc.relation.isversionofjnlnameMathematics of Operations Research
dc.relation.isversionofjnlvol26en
dc.relation.isversionofjnlissue4en
dc.relation.isversionofjnldate2001
dc.relation.isversionofjnlpages832-850en
dc.relation.isversionofdoihttp://dx.doi.org/10.1287/moor.26.4.832.10005en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherInformsen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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