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 booklet includes the prolonged models of 33 papers chosen between these initially provided on the 6th Congress of the Italian organization for man made Intelligence (AI*IA). The congress of the AI*IA is the main correct Italian occasion within the box of man-made Intelligence, and has been receiving a lot consciousness 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 clinical periods and one demo consultation. The papers the following amassed record on major paintings performed in numerous components of man-made intelligence, in Italy and different international locations. components equivalent to computerized reasoning, wisdom illustration, making plans, and desktop studying stay completely investigated. the gathering additionally exhibits a starting to be curiosity within the box of multi-agent platforms, notion and robotics, and temporal reasoning. many folks contributed in several how one can the luck of the congress and to this quantity. to start with, 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 book during this quantity. They supplied 3 reports for every manuscript, through counting on the aid of precious extra reviewers. The contributors 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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Foundations of spatioterminological reasoning with descrition logics. In Proc. of KR'98, pages 112-123, 1998. 10. Jed Hartman and Josie Wernecke. 0 Handbook. Addison-Wesley, 1996. 11. R. Jain. Special issue on visual information systems. Communications of the ACM, 40(12), Dec. 1997. 12. Y. S. Manjunath. NETRA: A toolbox for navigating large image database. In Proc. of IEEE ICIP, 1997. 13. C. Meghini, F. Sebastiani, and U. Straccia. The terminological image retrieval model. In Proc. of ICIAP-97, number 1311 in LNCS, pages 156-163.

An example of such a Bayesian network, meant to assist medical specialists in the treatment of infectious diseases, is described in [1]. This observation is interesting from the perspective of the design of efficient algorithms for probabilistic inference [16]. 5 Discussion We have studied the mapping of probabilistic structures to fragments of the certainty-factor model. As was to be expected, only very specific probabilistic models can be dealt with in this way. Nevertheless, these structures appear to be of major practical importance to developers of Bayesian networks for specific problem domains.

Fu. Query by pictorial example. IEEE Trans. Software Engineering, 6(6), 1980. 4. K. Chang and et al. Intelligent image database system. IEEE Trans. Software Engineering, 14(5), 1988. 5. E. Di Sciascio and M. Mongiello. Query by sketch and relevance feedback for content-based image retrieval over the web. Journal of Visual Languages and Computing, 10(6), 1999. 6. E. Ardizzone et al. Hybrid computation and reasoning for artificial vision. In V. Cantoni, S. Levialdi, and V. Roberto, editors, Artificial Vision, pages 193-221.

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