By Cristian Gratie, Adina Magda Florea (auth.), Peter McBurney, Simon Parsons, Iyad Rahwan (eds.)
This booklet constitutes the completely reviewed post-proceedings of the eighth foreign Workshop on Argumentation in Multi-Agent platforms, ArgMas 2011, held in Taipei, Taiwan in may possibly 2011 in organization with the tenth overseas convention on independent brokers and Multi-Agent structures (AAMAS 2011). The eight revised complete papers taken from ArgMAS 2011. additionally integrated are five invited papers in line with shows on argumentation on the AAMAS 2011 major convention. All jointly the thirteen papers integrated within the publication supply a consultant assessment on present learn on argumentation in multi-agent structures. The papers are indexed alphabetically by means of first writer inside of 3 thematic issues: foundations and conception; argumentation and discussion; and applications.
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Extra info for Argumentation in Multi-Agent Systems: 8th International Workshop, ArgMAS 2011, Taipei, Taiwan, May 3, 2011, Revised Selected Papers
Sample text
JP RAFP O =< {A, C}, {i, j}, Def eatJP RAFP O > Def eatJP RAFP O (i) = {(A, C)} Def eatJP RAFP O (j) = {(C, A)} The grounded extension of JP RAFP O to {i, j} is the empty set and the preferred extensions of JP RAFP O to {i, j} are {A} and {C}. Therefore, both A and C are not just Pareto optimal but also they are theoretically justified with respect to AF . 8 Related Work Deliberation is a type of dialogue in which a group of agents or a single agent tries, through looking at a set of alternatives, to make a decision about which course of action among the possible alternatives to take [19].
In the last fifteen years, a great number of papers in computational argumentation adopt Dungean semantics as a fundamental principle for evaluating states of arguments. Dungean semantics is defined on an abstract argumentation framework, denoted by AF , consisting of a set of arguments and a defeat relation on the set of arguments. Its main feature is that nonmonotonic reasoning can be realized without any internal structures of arguments such as languages or inferences. , reasoning about what to do, and apply Dungean semantics to these problems described as instances of AF or their expansions.
The focus is on a high-level architecture ABA: Argumentation Based Agents 25 mainly concerned with managing the currently available best options for the agent’s constituent tasks in a way that provides a coherent behaviour, with a focus of purpose, for the agent. This focus of purpose is governed to a certain extend by the agent’s internal argumentation theory for its Motivations and Needs that gives the currently preferred high-level desires of the agent which in turn affect other decisions of the agent.