By Stefania Bandini, Sara Manzoni
This ebook constitutes the refereed lawsuits of the ninth Congress of the Italian organization for synthetic Intelligence, AI*IA 2005, held in Milan, Italy in September 2005.
The forty six revised complete papers provided including sixteen revised brief papers have been rigorously reviewed and chosen for inclusion within the publication. The papers are geared up in topical sections on both theoretical examine with effects and recommendations, advancements and consolidations, or on functions as there are platforms and prototypes, case reviews and suggestions. inside this class a few of the major classical themes of AI are offered (agents, wisdom illustration, computer studying, making plans, robotics, typical language, etc.), yet right here the focal point is at the skill of AI computational ways to stand difficult difficulties and to suggest cutting edge strategies.
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Extra info for AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence Milan, Italy, September 21-23,
Roli. Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM Computing Surveys, 35(3):268–308, 2003. 3. I. P. Gent, H. H. Hoos, P. Prosser, and T. Walsh. Morphing: Combining structure and randomness. In Proc. of AAAI99, pages 654–660, 1999. 4. P. Gomes, B. Selman, N. Crato, and H. Kautz. Heavy-Tayled phenomena in Satisfiability and Constraint Satisfaction Prpblems. Journal of Automated Reasoning, 24:67–100, 2000. 5. T. Hogg, B. A. Huberman, and C. P. Williams. Phase transitions and the search problems.
9. Search cost of WalkSAT across the instances, from lattice to random structure. Points represent median iterations over 1000 runs. Log-scale on the y-axis has been used when necessary. We applied three different local search procedures, that are based on different heuristic strategies. The algorithms we considered are WalkSAT , GSAT  and Iterated local search (ILS, [7,14]). GSAT was the first effective local search algorithm proposed for SAT. It applies a greedy strategy, by flipping the variable that, if flipped, leads to the greatest gradient in the number of satisfied clauses.
It Abstract. Speciﬁcations of constraint problems can be considered logical formulae. As a consequence, it is possible to infer their properties by means of automated reasoning tools, with the goal of automatically synthesizing transformations that can make the solving process more efﬁcient. The purpose of this paper is to link two important technologies: automated theorem proving and constraint programming. We report the results on using ATP technology for checking existence of symmetries, checking whether a given formula breaks a symmetry, and checking existence of functional dependencies in a speciﬁcation.