Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/15152
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dc.creatorHenrique Lopes Cardoso
dc.creatorEugénio Oliveira
dc.date.accessioned2022-09-11T13:15:24Z-
dc.date.available2022-09-11T13:15:24Z-
dc.date.issued2009
dc.identifier.othersigarra:58562
dc.identifier.urihttps://hdl.handle.net/10216/15152-
dc.description.abstractNormative environments for multi-agent systems provide means to monitor and enforce agents' compliance to their commitments. However, when the normative space is imperfect, contracts to which norms apply may be Unbalanced, and agents may exploit potential flaws to their own advantage. In this paper we analyze how a normative framework endowed with a simple adaptive deterrence sanctioning model responds to different agent populations. Agents are characterized by their risk tolerance and by their social attitude. We show that risk-averse or socially concerned populations cause lesser deterrence sanctions to be imposed by the normative system.
dc.language.isoeng
dc.relation.ispartofProgress in Artificial Intelligence: Proceedings of the 14th Portuguese Conference on Artificial Intelligence, EPIA2009
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências da computação e da informação
dc.subjectComputer and information sciences
dc.titleRisk tolerance and social awareness: adapting deterrence sanctions to agent populations
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1007/978-3-642-04686-5_46
dc.identifier.authenticusP-003-RWB
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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