By Andrea Ferrara, Paolo Liberatore, Marco Schaerf (auth.), Stefania Bandini, Sara Manzoni (eds.)
This quantity collects the papers chosen for presentation on the IX Congress of the Italian organization for Arti?cial Intelligence (AI*IA), held in Milan on the collage of Milano–Bicocca (September 21–23, 2005). at the one hand this congress maintains the culture of AI*IA in organizing its biannual s- enti?c assembly from 1989; nevertheless, this variation is a landmark within the involvement of the overseas group of arti?cial intelligence (AI), at once concerning a huge variety of specialists from numerous nations within the P- gramCommittee. Moreover,the abnormal nature of scienti?c researchin arti?cial intelligence (which is intrinsically overseas) and a number of other consolidated int- nationwide collaborations in tasks and mobility courses allowed the gathering and choice of papers from many di?erent nations, everywhere in the global, enlarging the visibility of the Italian contribution inside of this study ?eld. Arti?cial intelligence is this day a transforming into advanced set of conceptual, theor- ical, methodological, and technological frameworks, o?ering cutting edge com- tational strategies within the layout and improvement of computer-based structures. inside this angle, researchers operating during this zone needs to take on a extensive diversity of information approximately tools, effects, and ideas coming from di?erent classical components of this self-discipline. The congress used to be designed as a discussion board permitting researchers to provide and speak about really expert effects as common contributions to AI growth.
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Extra resources for AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence, Milan, Italy, September 21-32, 2005. Proceedings
In the following, we will use the notion of hardness referred to the algorithm at hand. We estimate the hardness by means of the search cost, namely the number of iterations required for the algorithm to ﬁnd a satisfying assignment. Since the algorithms we deal with are stochastic, we run each of them 1000 times on the same instance and we took the median value. We emphasize that we use the concept of hardness referring to a given algorithm A and we say that an instance I1 is harder than I2 if the search cost (as deﬁned above) for solving I1 via A is higher than that of I2 .
Research on spatial reasoning S. Bandini and S. ): AI*IA 2005, LNAI 3673, pp. 25–37, 2005. c Springer-Verlag Berlin Heidelberg 2005 26 S. Bandini, A. Mosca, and M. Palmonari presented several mathematical formalisms based on topology, or afﬁne, metric and vector spaces (as shown in ). g. for computer vision) whose formal languages include suitable sets of part-whole relations, topological relations and topological properties of individual regions (the topological route maps [5,6] and , are just a few examples).
In this scenario, there is an increasing need of relating computation with the spatial context in which it takes place, and models managing spatially related information are necessary to correlate local information, to coordinate devices and to supply context aware services. This kind of activities involves a form of spatial reasoning that seems quite different from existing approaches developed in the Artiﬁcial Intelligence area so far, and, in particular, in Knowledge Representation. g. relations among spatial entities and properties of them are taken into account in order to infer other relations and properties not immediately identiﬁable.
AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence, Milan, Italy, September 21-32, 2005. Proceedings by Andrea Ferrara, Paolo Liberatore, Marco Schaerf (auth.), Stefania Bandini, Sara Manzoni (eds.)