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

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

This publication comprises the prolonged types of 33 papers chosen between these initially awarded on the 6th Congress of the Italian organization for man made Intelligence (AI*IA). The congress of the AI*IA is the main appropriate Italian occasion within the box of man-made Intelligence, and has been receiving a lot awareness from many researchers and practitioners of alternative international locations. The 6th congress was once held in Bologna, 14-17 September 1999, and used to be equipped in twelve medical periods and one demo consultation. The papers the following accumulated document on major paintings performed in numerous components of man-made intelligence, in Italy and different nations. parts akin to automatic reasoning, wisdom illustration, making plans, and computer studying stay completely investigated. the gathering additionally indicates a starting to be curiosity within the box of multi-agent platforms, conception and robotics, and temporal reasoning. many of us contributed in several how one can the luck 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 in a while the reviewing of the forty-one papers submitted for book during this quantity. They supplied 3 reports for every manuscript, by way of counting on the aid of worthy extra reviewers. The individuals 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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Heckerman, M. J. P. F. Cooper. Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base, II – Evaluation of diagnostic performance, Methods of Information in Medicine 30, 1991, 256–267. 11. E. Neapolitan. Probabilistic Reasoning in Expert Systems — Theory and Algorithms (John Wiley & Sons, New York, 1990). 12. J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Publishers, San Mateo, California, 1988). 13. H. Shortliffe.

It consists of a qualitative part and an associated quantitative part. The network’s qualitative part takes the form of an acyclic directed graph, or digraph, for short. Each node in this digraph represents a statistical variable that takes its value from a finite set of discrete values. In this paper we will restrict the discussion to binary variables, taking one of the values true and false. If a variable V has the value true, we will write v; the notation ¬v is used to indicate that V = false.

Y. C. S. Huang. Automated shape segmentation using attraction-based grouping in spatial-color-texture space. In Proc. of IEEE ICIP, 1996. 15. A. Sanfeliu and K. Fu. A distance measure between attributed relational graphs for pattern recognition. IEEE Trans, on Systems, Man, and Cybernetics, 13(3):353362, 1983. 16. U. Straccia. A fuzzy description logic. In Proc. of AAAI'98, pages 594-599, 1998. 17. John Yen. Generalizing term subsumption languages to fuzzy logic. In Proc. of IJCAI'91, pages 472-477, 1991.

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