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.)

ISBN-10: 3642002064

ISBN-13: 9783642002069

ISBN-10: 3642002072

ISBN-13: 9783642002076

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 offers instruments for analysing, designing and

implementing subtle sorts of interplay between rational agents,

thus making very important contributions to the speculation and perform of

multiagent dialogues.

Application domain names contain: nonmonotonic reasoning, felony disputes,

business negotiation, hard work disputes, crew formation, scientific

inquiry, deliberative democracy, ontology reconciliation, risk

analysis, scheduling, and logistics.

This quantity provides the newest advancements during this sector on the interface of

argumentation idea 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 geared up in

topical sections on argument-based reasoning, argumentation and

dialogue, to boot as

strategic and pragmatic issues.

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

Example text

A Constrained Argumentation System for Practical Reasoning 43 Proof. Let δ ∈ Ad . Let us show that BELIEFS(δ) ⊆ K. BELIEFS(δ) = SUPP(αi ) with αi ∈ Ab ∩ SUB(δ). According to the definition of an epistemic argument αi , SUPP(αi ) ⊆ K, thus BELIEFS (δ) ⊆ K. Let us show that DESIRES(δ) ⊆ PD. This is a direct consequence from the definition of an explanatory argument and the definition of the set PD. Note that a desire may be supported by several explanatory arguments since it may be the consequent of different desire rules.

1 Justifying Beliefs The first category of arguments is that studied in argumentation literature, especially for handling inconsistency in knowledge bases. Indeed, arguments are built from a knowledge base in order to support or to attack potential conclusions or inferences. These arguments are called epistemic in [12]. In our application, such arguments are built from the base K. In what follows, we will use the definition proposed in [18]. Definition 13. (Epistemic Argument) Let K be a knowledge base.

In what follows, A = Ab ∪ Ad ∪ Ap . Note that A is finite since the three initial bases (K, Bd and P) are finite. 5 Interactions among Arguments An argument constitutes a reason for believing, or adopting a desire. However, it is not a proof that the belief is true, or that the desire can be adopted. The reason is that an argument can be attacked by other arguments. In [7,14], it has been shown that an argument may also be supported by other arguments. However, taking into account the supports between arguments in a practical reasoning context will be the subject of future work.

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Argumentation in Multi-Agent Systems: Fifth International Workshop, ArgMAS 2008, Estoril, Portugal, May 12, 2008. Revised Selected and Invited Papers by Thomas L. van der Weide, Frank Dignum, John-Jules Ch. Meyer, Henry Prakken (auth.), Iyad Rahwan, Pavlos Moraitis (eds.)


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