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Titlebook: Argumentation in Multi-Agent Systems; 4th International Wo Iyad Rahwan,Simon Parsons,Chris Reed Conference proceedings 2008 Springer-Verlag

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Towards Characterising Argumentation Based Dialogue in the Argument Interchange Formatues between agents. We also propose a declarative specification of these communicative concepts that is of sufficient generality to serve as an operational semantics. Specifically, we propose use of the Lightweight Coordination Calculus (LCC). We then illustrate our proposal with a use case multi-ag
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Arguing and Explaining Classificationses, like for instance classifying examples even when the set of training examples is inconsistent, and considering more general preference relations between hypotheses. Moreover, we show that in the particular case of concept learning, the results of version space theory are retrieved in an elegant
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An Argumentation-Based Framework for Deliberation in Multi-agent Systems committee to decide upon some joint decision. We experimentally show that the deliberation in committees of agents improves the accuracy of group judgments. We also show that a voting scheme based on assessing the confidence of arguments improves the accuracy of group judgments than majority voting.
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A Hybrid Argumentation of Symbolic and Neural Net Argumentation (Part II)them. They are beneficial for understanding or characterizing the computation power and outcome of the neural net argumentation from the perspective of the symbolic argumentation. We also exemplify these results.
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Research in Evolutionary Computation committee to decide upon some joint decision. We experimentally show that the deliberation in committees of agents improves the accuracy of group judgments. We also show that a voting scheme based on assessing the confidence of arguments improves the accuracy of group judgments than majority voting.
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Sensory Psychology and Perception,hen it is possible, and how this can be attained by the negotiating agents in this case. It defines also the notion of ., and shows in which situation an agent will make one, as well as how it influences the evolution of the dialogue.
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Research in Evolutionary Computationollowing basic questions that can not be overlooked..Consequently, we give the positive answers to them. They are beneficial for understanding or characterizing the computation power and outcome of the neural net argumentation from the perspective of the symbolic argumentation. We also exemplify these results.
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