By Stefania Bandini, Sara Manzoni
This booklet constitutes the refereed complaints 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 study with effects and recommendations, advancements and consolidations, or on functions as there are platforms and prototypes, case experiences and suggestions. inside this category many of the major classical themes of AI are provided (agents, wisdom illustration, desktop studying, making plans, robotics, traditional language, etc.), yet the following the point of interest is at the skill of AI computational techniques to stand difficult difficulties and to suggest cutting edge strategies.
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Additional info for AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence Milan, Italy, September 21-23,
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). Moreover, it is known that topology can provide the semantics for different logical languages of increasing expressive power and complexity (the Region Connection Calculus first order axiomatization  and the modal languages  are two examples).
A place can be any entity identifiable by a set of properties as argued in the previous section. As for the set R, from a conceptual point of view R can be any arbitrary set of binary CSRs, although some classes of relations significant for a wide reasoning domains will be analytically and formally characterized in the following paragraphs. This lack of constraints on what can be taken as a CSR, may be seen as a weakness of the model, but is related to the main principles guiding this approach.
The main result is that, even if the underlying problems have been proven to be not decidable (cf. previously cited works), in practical circumstances the answer is often positive. In particular, we show how automated theorem proving (ATP) technology can be eﬀectively used to perform the required forms of reasoning. We report the results on using theorem provers and ﬁnite model ﬁnders for reasoning on speciﬁcations of constraint problems, represented as existential second order logic (ESO) formulae.
AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence Milan, Italy, September 21-23, by Stefania Bandini, Sara Manzoni