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

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

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

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

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In particular the following operators have been proposed respectively in [14] and [13]: n d(ω, E) = i=1 d(ω, Σi ) and n d(ω, E) = i=1 d(ω, Σi ) × αi where αi is the weight associated with the base Σi . We denote by Λ1 the first operator and by Λ2 the second one. Example 5. Let’s consider the three following bases Σ1 = {a}, Σ2 = {¬a}, Σ3 = {a}. According to the first operator Λ1 , d(ω0 , E) = 1 and d(ω1 , E) = 2. Then the generated base has ω0 as an interpretation. Let’s suppose now that Σ2 is more reliable than the two others and it has a weight 3.

The local distance is based on Dalal’s distance [9]. The distance between an interpretation ω and a propositional base Σi is the number of atoms on which this interpretation differs from some model of the propositional base. Formally, d(ω, Σi ) = min dist(ω, ω ), ω ∈ [Σi ] where dist(ω, ω ) is the number of atoms whose valuations differ in the two interpretations. 34 Leila Amgoud and Simon Parsons 2. t all the propositional bases. This leads to the overall distance denoted d(ω, E). This later, computed from local distances d(ω, Σi ), defines an ordering relation between the interpretations defined as follows: ω ≤ ω iff d(ω, E) ≤ d(ω , E).

Ii) When F is in the form f ; F , the statement is trivially proven. ∪B B by Def. 6 implies A B (iii) F is in the form f &F . Then, A B δ δ f ∧ A δ cons F ∧ B ∪B δ ∪ δ . The first two conjuncts imply, by the inductive δ hypothesis, δ ∪ ICB ⊥ ∧ δ ∪ ICB ⊥. The third conjunct implies, by ⊥∧δ ⊇δ ∪δ Lemma 1, δ ∪ ICB ∪B In the rest of the section, we also state a completeness theorem for a subset of the possible expressions occurring in a top-level request. The completeness theorem ensures that, if a set of conditions δ can be found, satisfying the integrity constraints of a bunch of agents, and it belongs to the meaning of some agent, as defined below, then there exists an expression F and a successful top-down derivation for F in A leading to the bunch B of agents, and to conditions δ.

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