Download Argumentation in Multi-Agent Systems: Third International by Nicolas Maudet, Simon D. Parsons, Iyad Rahwan PDF

By Nicolas Maudet, Simon D. Parsons, Iyad Rahwan

Argumentation presents instruments for designing, imposing and reading subtle kinds of interplay between rational brokers. It has made an outstanding contribution to the perform of multiagent dialogues. program domain names contain: criminal disputes, enterprise negotiation, hard work disputes, staff formation, clinical inquiry, deliberative democracy, ontology reconciliation, threat research, scheduling, and logistics.

This booklet constitutes the completely refereed post-proceedings of the 3rd overseas Workshop on Argumentation in Multi-Agent platforms held in Hakodate, Japan, in may perhaps 2006 as an linked occasion of AAMAS 2006, the most overseas convention on self reliant brokers and multi-agent systems.

The quantity opens with an unique state of the art survey paper featuring the present learn and delivering a entire and up to date assessment of this speedily evolving region. The eleven revised articles that stick with have been conscientiously reviewed and chosen from the main major workshop contributions, augmented with papers from the AAMAS 2006 major convention, in addition to from ECAI 2006, the biennial eu convention on synthetic Intelligence.

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Additional resources for Argumentation in Multi-Agent Systems: Third International Workshop, ArgMAS 2006 Hakodate, Japan, May 8, 2006 Revised Selected and Invited Papers

Example text

In case of multiple-valued argumentation based on EALP, much complication is to be involved into the rebuttal relation under the different concepts of negation. One of the questions arising from multiple-valuedness is, for example, how a literal with truth-value ρ confronts with a literal with truth-value μ in the involvement with negation. In the next subsection, we outline important notions proper to logic of multiple-valued argumentation LMA in which the above question is reasonably solved. 1 21 Annotated Arguments Definition 8 (Reductant and Minimal reductant).

10}, and M AS = {KBA , KBB , KBC }, where KBA = { recommend(movie) : 8 ← good story : 9 & not expensive(movie) : 7, good story : 9 ← }, KBB = {∼ recommend(movie) : 2 ← skilled actor : 3, skilled actor : 3 ← }, KBC = {recommend(movie) : 1 ← expensive(movie) : 8, expensive(movie) : 8 ← }. When these agents argue about the issue recommend (movie): 8, agent B’s argument and agent C’s argument are justified. Following Definition 21, agent A obtains the following new knowledge: KBA = { recommend(movie) : 1 ← actor : 3 & story : 9 & not expensive : 7, actor : 3 ←, story : 9 ←}.

Ii) Based on Definition 21, Child agent gets an argument Argd5 since there is a difference of recognition. (iii) Based on Definition 23, Child agent has the second thought about Copernican theory since Child agent accepts Copernican theory through the argumentation with Copernican agent. 0” and knows the Argd1 . Furthermore, Child agent puts away the rules which are included in Argc5 and gets the ACA. 0). Consequently Child agent acquires the following new knowledge. 8 ← }. Child agent gets to believe both Ptolemaic theory and Copernican theory, that is, it possesses believable aspects in them.

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