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dc.contributor.authorRouchier, Juliette*
dc.contributor.authorTanimura, Emily*
dc.date.accessioned2016-09-21T15:33:50Z
dc.date.available2016-09-21T15:33:50Z
dc.date.issued2016
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/15816
dc.language.isoenen
dc.subjectDynamicsen
dc.subjectEnvironmenten
dc.subjectSocial simulationen
dc.subjectOverconfidenceen
dc.subjectLearningen
dc.subject.ddc003en
dc.titleLearning with Communication Barriers Due to Overconfidence. What a "Model-To-Model Analysis" Can Add to the Understanding of a Problemen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenIn this paper, we describe a process of validation for an already published model, which relies on the M2M paradigm of work. The initial model showed that over-confident agents, which refuse to communicate with agents whose beliefs differ, disturb collective learning within a population. We produce an analytical model based on probabilistic analysis, that enables us to explain better the process at stake in our first model, and demonstrates that this process is indeed converging. To make sure that the convergence time is meaningful for our question (not just for an infinite number of agents living for an infinite time), we use the analytical model to produce very simple simulations and assess that the result holds in finite contexts.en
dc.relation.isversionofjnlnameJournal of artificial societies and social simulation
dc.relation.isversionofjnlvol19en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate2016
dc.relation.isversionofdoi10.18564/jasss.3039en
dc.identifier.urlsitehttp://jasss.soc.surrey.ac.uk/19/2/7.htmlen
dc.contributor.countryeditoruniversityotherFRANCE
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2016-09-19T13:59:13Z
hal.person.labIds989*
hal.person.labIds15080*
hal.identifierhal-01370007*


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