By Daniele Nardi, Riccardo Rosati (auth.), Evelina Lamma, Paola Mello (eds.)
This e-book includes the prolonged models of 33 papers chosen between these initially offered on the 6th Congress of the Italian organization for synthetic Intelligence (AI*IA). The congress of the AI*IA is the main suitable Italian occasion within the box of man-made Intelligence, and has been receiving a lot cognizance from many researchers and practitioners of alternative nations. 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 accrued document on major paintings performed in several parts of man-made intelligence, in Italy and different nations. parts akin to automatic reasoning, wisdom illustration, making plans, and desktop studying stay completely investigated. the gathering additionally indicates a turning out to be curiosity within the box of multi-agent platforms, notion and robotics, and temporal reasoning. many of us contributed in numerous how you can the good fortune of the congress and to this quantity. to begin with, the participants 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 booklet during this quantity. They supplied 3 studies for every manuscript, by means of hoping on the aid of worthy 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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Extra info for AI*IA 99: Advances in Artificial Intelligence: 6th Congress of Italian Association for Artificial Intelligence Bologna, Italy, September 14–17, 1999 Selected Papers
The treatment threshold probability of disease, written P ∗ (d) for disease d, is the probability at which an attending physician is indiﬀerent between giving treatment and withholding treatment. If, for a speciﬁc patient, the probability of disease Pr(d) exceeds the treatment threshold probability, that is, if Pr(d) > P ∗ (d), then the physician will decide to treat the patient as if the disease were known to be present with certainty. Alternatively, if Pr(d) ≤ P ∗ (d), the physician will basically withhold treatment from the 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. On the other hand, severe headaches are expressed as quite common in both patients with and without a brain tumour. Severe headaches thus have a low predictive value for a brain tumour.
3. J. D´ıez, J. Mira, E. Iturralde and S. Zubillage. DIAVAL: a Bayesian expert system for echocardiography, Artiﬁcial Intelligence in Medicine 10, 1997, 59–73. 4. O. E. J. Nilsson. Subjective Bayesian methods for rulebased inference systems. In: AFIPS Conference Proceedings of the 1976 National Computer Conference 45, 1075–82. 5. D. Heckerman. Probabilistic interpretations for MYCIN’s certainty factors. N. F. ), Uncertainty in Artiﬁcial Intelligence (NorthHolland, Amsterdam, 1986) 298–312. 6. D.
AI*IA 99: Advances in Artificial Intelligence: 6th Congress of Italian Association for Artificial Intelligence Bologna, Italy, September 14–17, 1999 Selected Papers by Daniele Nardi, Riccardo Rosati (auth.), Evelina Lamma, Paola Mello (eds.)