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dc.contributor.authorLe Bars, Marjorie
dc.contributor.authorAttonaty, Jean-Marie
dc.contributor.authorPinson, Suzanne
dc.contributor.authorFerrand, Nils
HAL ID: 737854
ORCID: 0000-0002-5990-0746
dc.date.accessioned2009-09-08T11:17:16Z
dc.date.available2009-09-08T11:17:16Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/1510
dc.language.isoenen
dc.subjectIrrigationen
dc.subjectSimulation multi-agenten
dc.subjectsystèmes multi-agenten
dc.subjectIntelligence artificielleen
dc.subject.ddc006.3en
dc.titleAn Agent Based Simulation testing the impact of water allocation on collective farmers' behavioursen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherEconomie Publique, INRA;France
dc.contributor.editoruniversityotherMaison des Sciences de l'Eau, Montpellier;France
dc.description.abstractenMany negotiations take place between farmers, water suppliers, public servants, and environmentalists to allocate water resources between users in different areas. However, few negotiations quantify the consequences of alternatives solutions. Models that are used are often oversimplified and only take into account elements that are easy to calculate, or they are too complex to be used for negotiations in real time. In all cases, they do not consider the heterogeneity of decision makers. The authors demonstrate that agent-based modeling could help these negotiations by showing the consequences of water allocation rules with respect to different criteria.en
dc.relation.isversionofjnlnameSimulation
dc.relation.isversionofjnlvol81en
dc.relation.isversionofjnlissue3en
dc.relation.isversionofjnldate2005
dc.relation.isversionofjnlpages223-235en
dc.relation.isversionofdoihttp://dx.doi.org/10.1177/0037549705053166en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherSage Publishersen
dc.subject.ddclabelIntelligence artificielleen


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