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dc.contributor.authorPaget, Nicolas
dc.contributor.authorBonté, Bruno
dc.contributor.authorBarreteau, Olivier
dc.contributor.authorPigozzi, Gabriella
dc.contributor.authorMaurel, Pierre
dc.date.accessioned2019-10-08T10:49:23Z
dc.date.available2019-10-08T10:49:23Z
dc.date.issued2019
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20042
dc.language.isoenen
dc.subjectInformation sharingen
dc.subjectOyster farmingen
dc.subjectAgent-based modelen
dc.subjectCORMASen
dc.subject.ddc004en
dc.titleAn in-silico analysis of information sharing systems for adaptable resources management: A case study of oyster farmersen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenInformation sharing systems are often viewed as a potential way of increasing scrutiny by actors of their interactions with natural resources. Scrutiny is then seen as encouraging sustainable and adaptable management of the resource. We tackle this claim by using an agent-based model to focus on the specific issue of oyster farmers dealing with the deadly OsHV-1 virus by sharing information about their own experience (practices and outcomes) via their social network and/or an information sharing system. We followed closely what access to such information sharing means for the environment (production), agents (beliefs) and interactions between the environment and agents (practices). In the model, introducing information sharing leads to a decrease in mortality rates and a convergence in agents’ beliefs. Agents stop changing their practices earlier when they share information, but heterogeneity in agent decision-making models leads to wider exploration of possible strategies and increased production. Agent-based modelling proved a suitable method for studying the impacts of information sharing.en
dc.relation.isversionofjnlnameSocio-Environmental Systems Modelling
dc.relation.isversionofjnlvol1en
dc.relation.isversionofjnldate2019
dc.relation.isversionofdoi10.18174/sesmo.2019a16166en
dc.subject.ddclabelInformatique généraleen
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.updated2019-10-08T10:45:04Z
hal.person.labIds989
hal.person.labIds182889
hal.person.labIds520712
hal.person.labIds989
hal.person.labIds182888
hal.identifierhal-02308142*


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