Download Argumentation in Multi-Agent Systems: Fifth International by Thomas L. van der Weide, Frank Dignum, John-Jules Ch. Meyer, PDF

By Thomas L. van der Weide, Frank Dignum, John-Jules Ch. Meyer, Henry Prakken (auth.), Iyad Rahwan, Pavlos Moraitis (eds.)

During the decade Argumentation has been gaining importance

within Artificial

Intelligence specifically in multi agent structures. Argumentation is a

powerful mechanism for modelling the interior reasoning of an agent.

It additionally presents instruments for analysing, designing and

implementing refined varieties of interplay between rational agents,

thus making very important contributions to the idea and perform of

multiagent dialogues.

Application domain names contain: nonmonotonic reasoning, felony disputes,

business negotiation, exertions disputes, workforce formation, scientific

inquiry, deliberative democracy, ontology reconciliation, risk

analysis, scheduling, and logistics.

This quantity provides the most recent advancements during this sector on the interface of

argumentation thought and multi agent structures. the ten revised full

papers presented

together with three invited papers from the AAMAS 2008 convention have been carefully

reviewed and chosen from quite a few submissions. The papers are equipped in

topical sections on argument-based reasoning, argumentation and

dialogue, to boot as

strategic and pragmatic issues.

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Read Online or Download Argumentation in Multi-Agent Systems: Fifth International Workshop, ArgMAS 2008, Estoril, Portugal, May 12, 2008. Revised Selected and Invited Papers PDF

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Additional info for Argumentation in Multi-Agent Systems: Fifth International Workshop, ArgMAS 2008, Estoril, Portugal, May 12, 2008. Revised Selected and Invited Papers

Example text

In particular, we intend development of argument game proof theories, algorithms and dialogue protocols for EAFs. Since EAFs inherit the fundamental results shown for Dung frameworks, our approach will adopt the methodologies deployed in specification of game based algorithms [18] and protocols [15] based on the Dung semantics. We also believe that our approach is applicable to resolution of conflicts arising between an individual agent’s conflicting desires, and between conflicting norms. Both cases often require reasoning about abstract values and motivations.

Let A be a goal argument of an agent Ag and I the intention base of Ag. Let B be any goal argument of an agent Ag , where B = (S , D ) is the belief base of Ag . We say that: • conflicts(B, A) if B attacks A as in definition 17. For any I ∈ I: • hinders(B, I) if B attacks I as in definition 17 Argumentation Based Resolution of Conflicts 31 • benefits(B, I) if claim(B + S1) = claim(I) for some possibly empty sequence of strict rules S1 in S Then: – B and A goal attack each other on the pair (claim(B), claim(A)) if conflicts(B, A) – B and A goal attack each other on the pair (claim(B), claim(A)) if benefits(B, I) for some I ∈ I – B goal attacks A on the pair (claim(B), claim(A)) if hinders(B, I) for some I ∈ I To determine a preference amongst attacking arguments, [14] defines the sets of relevant defeasible rules to be compared, and an ordering on these sets.

The support of the argument is given by the function SUPP(α) = H, whereas its conclusion is returned by CONC(α) = h. Ab stands for the set of all epistemic arguments that can be built from the base K. 2 Justifying Desires A desire may be pursued by an agent only if it is justified and feasible. Thus, there are two kinds of reasons for adopting a desire: i) the conditions underlying the desire hold in the current state of world; ii) there is a plan for reaching the desire. The definition of the first kind of arguments involves two bases: the belief base K and the base of desire rules Bd .

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