Download AI*IA 99: Advances in Artificial Intelligence: 6th Congress by Daniele Nardi, Riccardo Rosati (auth.), Evelina Lamma, Paola PDF

By Daniele Nardi, Riccardo Rosati (auth.), Evelina Lamma, Paola Mello (eds.)

This publication includes the prolonged types of 33 papers chosen between these initially provided on the 6th Congress of the Italian organization for synthetic Intelligence (AI*IA). The congress of the AI*IA is the main appropriate Italian occasion within the box of synthetic Intelligence, and has been receiving a lot recognition from many researchers and practitioners of other international locations. The 6th congress used to be held in Bologna, 14-17 September 1999, and used to be prepared in twelve clinical classes and one demo consultation. The papers the following accumulated document on major paintings performed in numerous components of synthetic intelligence, in Italy and different nations. components equivalent to automatic reasoning, wisdom illustration, making plans, and computing device studying remain completely investigated. the gathering additionally indicates a turning out to be curiosity within the box of multi-agent structures, notion and robotics, and temporal reasoning. many folks contributed in several how one can the good fortune of the congress and to this quantity. firstly, the contributors of this system committee who successfully dealt with the reviewing of the sixty four papers submitted to the congress, and afterward the reviewing of the forty-one papers submitted for e-book during this quantity. They supplied 3 experiences for every manuscript, by means of counting on the aid of important extra reviewers. The participants of the organizing committee, particularly Rosangela Barruffi, Paolo Bellavista, Anna Ciampolini, Marco Cremonini, Enrico Denti, Marco Gavanelli, Mauro Gaspari, Michela Milano, Rebecca Montanari, Andrea Omicini, Fabrizio Riguzzi, Cesare Stefanelli, and Paolo Torroni, labored hardy assisting at fixing difficulties in the course of and after the congress.

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By Daniele Nardi, Riccardo Rosati (auth.), Evelina Lamma, Paola Mello (eds.)

This publication includes the prolonged types of 33 papers chosen between these initially provided on the 6th Congress of the Italian organization for synthetic Intelligence (AI*IA). The congress of the AI*IA is the main appropriate Italian occasion within the box of synthetic Intelligence, and has been receiving a lot recognition from many researchers and practitioners of other international locations. The 6th congress used to be held in Bologna, 14-17 September 1999, and used to be prepared in twelve clinical classes and one demo consultation. The papers the following accumulated document on major paintings performed in numerous components of synthetic intelligence, in Italy and different nations. components equivalent to automatic reasoning, wisdom illustration, making plans, and computing device studying remain completely investigated. the gathering additionally indicates a turning out to be curiosity within the box of multi-agent structures, notion and robotics, and temporal reasoning. many folks contributed in several how one can the good fortune of the congress and to this quantity. firstly, the contributors of this system committee who successfully dealt with the reviewing of the sixty four papers submitted to the congress, and afterward the reviewing of the forty-one papers submitted for e-book during this quantity. They supplied 3 experiences for every manuscript, by means of counting on the aid of important extra reviewers. The participants of the organizing committee, particularly Rosangela Barruffi, Paolo Bellavista, Anna Ciampolini, Marco Cremonini, Enrico Denti, Marco Gavanelli, Mauro Gaspari, Michela Milano, Rebecca Montanari, Andrea Omicini, Fabrizio Riguzzi, Cesare Stefanelli, and Paolo Torroni, labored hardy assisting at fixing difficulties in the course of and after the congress.

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Therefore, we assume that D is always formed by basic components. Theorem 1. ,. n such thatr{ri{e{Bi)))=rj. The fact that we look only for rigid transformations of the complex shape D in a given image I reduces the number of possible matches between the regions of D and those of X, as stated in the following theorem. Theorem 2. Given a complex shape with k basic components and an image segmented in n regions, there are at most n2 possible matches between the k basic shapes and the n regions. The above theorem leads to the algorithm Recognize, in which we exploit the fact that each region has a centroid, and to match regions, their centroids should be matched first.

H. Coupé MC B CT ISC C SH Fig. 1. The digraph of an example belief network; it expresses information concerning the presence of a brain tumour and its associated problems in an arbitrary patient. 60 The probabilities specified for the variable ISC , for example, express that knowing whether or not metastatic cancer is present has a considerable influence on the probability of an increased level of serum calcium in an arbitrary patient. The relationship between metastatic cancer and increased total serum calcium therefore is a strong dependence.

The increasing number of knowledge-based systems that build upon the framework of Bayesian belief networks for knowledge representation and inference, clearly demonstrate its usefulness for addressing complex real-life problem domains in which uncertainty is predominant. Most notably, applications are being realised in the medical domain, for diagnosis, prognostic assessment, and treatment planning. Bayesian belief networks are generally constructed with the help of experts from the domain of application.

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