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 specially in multi agent platforms. Argumentation is a

powerful mechanism for modelling the inner reasoning of an agent.

It additionally presents instruments for analysing, designing and

implementing subtle types of interplay between rational agents,

thus making very important contributions to the idea and perform of

multiagent dialogues.

Application domain names comprise: nonmonotonic reasoning, criminal disputes,

business negotiation, hard work disputes, group formation, scientific

inquiry, deliberative democracy, ontology reconciliation, risk

analysis, scheduling, and logistics.

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

argumentation conception 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 a variety of submissions. The papers are prepared in

topical sections on argument-based reasoning, argumentation and

dialogue, besides as

strategic and pragmatic issues.

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

Example text

T. a set S for an EAF is motivated in some detail in [12,13]. t. an admissible set S of arguments is satisfied: if A is acceptable with respect to S, then S ∪ {A} is admissible (referred to as the fundamental lemma in Dung [8]). Definition 5. Let S ⊆ Args in (Args, R, D). Let RS = {X1 →S Y1 , . . , Xn →S Yn } where for i = 1 . . n, Xi ∈ S. t. (Y ,(X, Y )) ∈ D, ∃X →S Y ∈ RS Definition 6. Let (Args, R, D) be an EAF. t. t. t. C →S B and there is a reinstatement set for C →S B. t. S1. We have that B1 →S1 A1, and A1 →S1 B1.

Epistemic Argument) Let K be a knowledge base. t: 1. 2. 3. 4. H ⊆ K, H is consistent, H h and H is minimal (for set ⊆) among the sets satisfying conditions 1, 2, 3. 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.

46 L. Amgoud, C. -C. Lagasquie-Schiex Definition 19. Let α ∈ Ab , δ ∈ Ad , π ∈ Ap . t. h ≡ ¬CONC(α).

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