AI*IA 2009: Emergent Perspectives in Artificial by Janneke H. Bolt (auth.), Roberto Serra, Rita Cucchiara

By Janneke H. Bolt (auth.), Roberto Serra, Rita Cucchiara (eds.)

This booklet constitutes the refereed court cases of the eleventh overseas convention of the Italian organization for synthetic Intelligence, AI*IA 2009, held in Reggio Emilia, Italy, in December 2009.

The 50 revised complete papers provided including three invited talks have been conscientiously reviewed and chosen from eighty three submissions. The papers are prepared in topical sections on wisdom illustration and reasoning, computing device studying, evolutionary computation, seek, traditional language processing, multi-agent platforms and application.

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By Janneke H. Bolt (auth.), Roberto Serra, Rita Cucchiara (eds.)

This booklet constitutes the refereed court cases of the eleventh overseas convention of the Italian organization for synthetic Intelligence, AI*IA 2009, held in Reggio Emilia, Italy, in December 2009.

The 50 revised complete papers provided including three invited talks have been conscientiously reviewed and chosen from eighty three submissions. The papers are prepared in topical sections on wisdom illustration and reasoning, computing device studying, evolutionary computation, seek, traditional language processing, multi-agent platforms and application.

Show description

Read Online or Download AI*IA 2009: Emergent Perspectives in Artificial Intelligence: XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia, Italy, December 9-12, 2009 Proceedings PDF

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Extra info for AI*IA 2009: Emergent Perspectives in Artificial Intelligence: XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia, Italy, December 9-12, 2009 Proceedings

Example text

Adding rule inference to semantic formalisms was proposed as a solution to extend the reasoning capabilities of semantic representation such as ontologies or description logics (DLs). However, many semantic and computational problems have emerged in this combination. Indeed, as shown by the studies in this field [8], [6], [11], decidability and complexity of reasoning are a crucial issue in systems combining DL knowledge bases and rules. With respect to these approaches we took a partially different point of view.

In order to define such a degree of generalization, we exploit the distances associated with ISA arcs in the taxonomies. Different formulae could be used; we selected a simple one: Definition 4. Given a working memory containing the facts F1 , F2 , . . Fn , the distance between a rule r and the working memory is defined as follows: |LHS(r)| matchDist(r) = j=1 dist(Aj (r), Fj (r)) M axT axoDistj |LHS(r)| (1) where: – LHS(r) is the set of atoms in the antecedent of the rule r; |LHS(r)| denotes its cardinality; – Aj (r) is the j-th atom in the antecedent of rule r; – Fj (r) is the fact matching the j-th atom in the antecedent of rule r; – dist(Aj (r), Fj (r)) is the distance on the taxonomy between Aj (r) and Fj (r).

0 behaves like a preprocessor. 4 Preprocessing Can Make QBFs Easier... In this section we consider the effect of preprocessors from an experimental point of view, with the goal of understanding when and why hard QBFs are made easier by preprocessing them, if at all. 03 , as well as two other state-of-the-art preprocessors for QBFs, namely PREQUEL [15] and PROVERBOX [16]. 5, S K IZZO, and Y Q UAFFLE (see [9] for references). 5, and Y Q UAF FLE are based on backtracking search; S K IZZO is based on skolemization.

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