|Título||An Argumentation-based Framework for Deliberation in Multi-Agent Systems|
|Publication Type||Book Chapter|
|Year of Publication||2008|
|Authors||Ontañón S, Plaza E|
|Editor||Rahwan I, Parsons S, Reed C|
This paper focuses of the group judgments obtained from a committee of agents that use deliberation. The deliberative process is realized by an argumentation framework called AMAL. The AMAL framework is completely based on learning from examples: the argument preference relation, the argument generation policy, and the counterargument generation policy are case-based techniques. For join deliberation, learning agents share their experience by forming a 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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