Get Argumentation in Multi-Agent Systems: Third International PDF

By Nicolas Maudet, Simon D. Parsons, Iyad Rahwan

ISBN-10: 354075525X

ISBN-13: 9783540755258

Argumentation presents instruments for designing, enforcing and examining refined varieties of interplay between rational brokers. It has made an excellent contribution to the perform of multiagent dialogues. program domain names contain: felony disputes, company negotiation, exertions disputes, workforce formation, clinical inquiry, deliberative democracy, ontology reconciliation, threat research, scheduling, and logistics.

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

The quantity opens with an unique cutting-edge survey paper proposing the present study and delivering a accomplished and updated evaluation of this swiftly evolving sector. 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 man made Intelligence.

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Read Online or Download Argumentation in Multi-Agent Systems: Third International Workshop, ArgMAS 2006 Hakodate, Japan, May 8, 2006 Revised Selected and Invited Papers PDF

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

Example text

However, there is few work with which we share our purpose of this paper in relation to argumentation, except [1] [2] [6]. In [1], Amgoud and Parsons propose a method to merge conﬂicting knowledge bases based on their preference-based argumentation framework. It allows arguments to be built not from a union of knowledge bases but from separate knowledge bases, and the arguments to then be merged. For example, supports of justiﬁed arguments can be safely merged without drawing inconsistency. In [2], Capobianco et al.

The conﬁdence on a justiﬁed prediction is the number of endorsing cases divided by the number of endorsing cases plus counterexamples found by each of the two agents. The reason for adding one to the numerator and 2 to the 42 S. Onta˜ no ´n and E. Plaza a) b) α c) α + + β β - + α + β - ? ? P P P α = A1, P, +, D1 α = A1, P, +, D1 α = A1, P, +, D1 β = A2, P, −, D2 β = A2, P, +, D2 β = A2, P, −, D2 Fig. 3. Relation between arguments denominator is the Laplace correction to estimate probabilities.

Example 1. Let T = R[0 1], ≤ be a complete lattice on the unit interval of real numbers. Suppose Agent A and B have the following knowledge bases KBA and KBB on a soap to slim respectively. 0 ←}. 0 ← ]}. These are representations of verbal and natural arguments described in (i)Correct wrong knowledge above. The set of justiﬁed arguments JA is constructed as follows. 0 ← ]}. JA can be seen as a set of agreements on various issues among agents concerned. Agents then get down to acquiring knowledge with JA based on Deﬁnition 19.

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