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 man made Intelligence, AI*IA 2009, held in Reggio Emilia, Italy, in December 2009.

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

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Additional resources 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

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In order to improve our understanding of the results in Table 1, we analyzed some relevant structural characteristics of the k encodings before and after preprocessing. To this purpose, we considered a subset of 331 formulas such that both the preprocessors and Q U TE manage to perform their computation within 600s and 3GB of memory. We further divide this subset into the set “k-closed”, which is comprised of 182 QBFs that can be solved by Q U BIS, and the set “k-open”, which is comprised of the 149 remaining formulas.

5, and Y Q UAF FLE are based on backtracking search; S K IZZO is based on skolemization. We start our analysis by considering a set of encodings from modal K satisfiability to corresponding QSAT problems [6]. , number of variables, clauses and quantifier blocks, to fairly large ones. 0. Moreover, as reported in various QBFEVAL editions, this encoding is challenging for state-of-the-art QBF solvers. 0 is available at [12]. Both preprocessors ran with the setting deg = 40 and div = 500. 36 L. Pulina and A.

0 for QBFs in the set k-open. In Figure 2 we show the results of our analysis on structural parameters. Looking at the figure, we can see that the set k-closed is characterized from a median value of μ ˆ p which is smaller than the same value for k-open formulas, whereas the value and tw 38 L. Pulina and A. Tacchella ˆ p values between k-closed and k-open of π is larger. Indeed, the difference in tw formulas is justified on the basis of Q U BIS internals. As for μ and π, in [17], a graph characterized by relatively large values of μ and relatively small values of π is defined as a “small world”; in [18] it is conjectured that there exist a positive correlation between small world topology and empirical hardness of SAT instances: the more the structure of the instance resembles a small world, the more it is difficult to solve – at least by search-based solvers.

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