Stefania Costantini, Arianna Tocchio (auth.), Sergio Flesca,'s Logics in Artificial Intelligence: 8th European Conference, PDF

By Stefania Costantini, Arianna Tocchio (auth.), Sergio Flesca, Sergio Greco, Giovambattista Ianni, Nicola Leone (eds.)

ISBN-10: 3540441905

ISBN-13: 9783540441908

ISBN-10: 3540457577

ISBN-13: 9783540457572

This ebook constitutes the refereed lawsuits of the ecu convention on Logics in synthetic Intelligence, JELIA 2002, held in Cosenza, Italy in September 2002.
The forty-one revised complete papers awarded including eleven method descriptions and three invited contributions have been carefuly reviewed and chosen from greater than a hundred submissions. The papers are prepared in topical sections on multi-agent structures, evolution and alterations, description common sense and the semantic net, complexity concerns, probabilistic good judgment, AI making plans, modal good judgment and causal reasoning, concept, reasoning below uncertainty, satisfiability, paraconsisten reasoning, activities and warning, common sense for brokers, semantics, and optimization matters in solution set semantics.

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Additional resources for Logics in Artificial Intelligence: 8th European Conference, JELIA 2002 Cosenza, Italy, September 23–26, 2002 Proceedings

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Logical methods are widely used for studying and formalising multi-agent systems. Modal logics, in particular, are often used for this purpose and offer a number of advantages [20,21]. In the landscape of agent systems among the more well-known agent formalisms with a modal flavour are the seminal combination of dynamic logic and epistemic logic by [16], the BDI model [17,18], the KARO framework [15,21], and temporal logics of knowledge We thank C. Dixon, M Fisher and U. Hustadt for valuable discussions.

Case 1. Non use of priorities There are two straightforward ways for defining Λ(E) depending on whether the bases are conflicting or not, namely: – Classical conjunctive merging: Λ(E) = ∧Σi , i = 1, n. In this case, Λ(E) = Σ. – Classical disjunctive merging: Λ(E) = ∨Σi , i = 1, n. If we have two bases Σ1 = {a} and Σ2 = {¬a}, the result of merging is Λ(E) = {a ∨ ¬a} a tautology, which does support neither a nor ¬a. Let’s see what is the result provided by the argumentation framework. We consider then the base Σ = {a, ¬a}.

This means that each argument which is in one extension and not in another does not defend itself and it is not defended. Acceptable arguments are defined in order to define the acceptable conclusions of an inconsistent knowledge base. So from the notion of acceptability, we define the following consequence relations. Definition 6. Let A(Σ), U ndercut, P ref be an AF. Let φ be a formula of the language L. 1. φ is a plausible consequence of Σ iff there exists H ∈ Σ such that (H, φ) ∈ A(Σ). 2. φ is a probable consequence of Σ iff there exists a stable extension Si and ∃(H, φ) ∈ A(Σ) such that (H, φ) ∈ Si .

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Logics in Artificial Intelligence: 8th European Conference, JELIA 2002 Cosenza, Italy, September 23–26, 2002 Proceedings by Stefania Costantini, Arianna Tocchio (auth.), Sergio Flesca, Sergio Greco, Giovambattista Ianni, Nicola Leone (eds.)


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