Titlebook: Argumentation in Multi-Agent Systems; 6th International Wo Peter McBurney,Iyad Rahwan,Nicolas Maudet Conference proceedings 2010 Springer-V

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Emotions in Rational Decision Makinglso play a role in agent decision making. This paper builds on several pieces of earlier work which resulted in a formalization of a model of emotions. We show how, in particular, the emotions of gratitude and displeasure and related emotions can be beneficially integrated into a model of decision m

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Using Personality Types to Support Argumentationparticipants agents more human-like and to increase their flexibility in the negotiation process in group decision-making, the authors investigated the role of personality behaviours of participants applied to the conflict style theme. The negotiation is made in a bilateral way where both parties ar

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Comparing Argumentation Frameworks for Composite Ontology Matchingtion is an innovative research area that aims at solving this issue, where agents encapsulate different matching techniques and the distinct results are shared, compared, chosen and agreed. In this paper, we compare three argumentation frameworks, which consider different notions of acceptability: b

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https://doi.org/10.1007/978-1-0716-1637-6resulting protocol is provably sound with regard to the defeasible semantics of the resulting agreements. We show how argument generation can be treated, for the specific task of argumentation about plans, by replacing the burden of finding proofs in a knowledge base by guided search.

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https://doi.org/10.1007/978-3-031-28908-8arison of the framework to . is given and it is shown that the modeling specific scenarios of argumentation in the distributed setting bears a more rational representation. The framework described in this paper has been fully implemented and a short description of its features is given.

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Strategic Voting in the Laboratoryguments. We evaluate these frameworks using realistic ontologies from an established evaluation test case. The best matcher varies depending on specific characteristics of each set, while considering voting on arguments the results are similar to the best matchers for all cases.

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Realizing Argumentation in Multi-agent Systems Using Defeasible Logic Programmingarison of the framework to . is given and it is shown that the modeling specific scenarios of argumentation in the distributed setting bears a more rational representation. The framework described in this paper has been fully implemented and a short description of its features is given.