By Daniele Nardi, Riccardo Rosati (auth.), Evelina Lamma, Paola Mello (eds.)
This booklet comprises the prolonged models 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 suitable Italian occasion within the box of synthetic Intelligence, and has been receiving a lot realization from many researchers and practitioners of other international locations. The 6th congress was once held in Bologna, 14-17 September 1999, and was once equipped in twelve clinical periods and one demo consultation. The papers the following amassed file on major paintings performed in numerous components of man-made intelligence, in Italy and different nations. parts reminiscent of computerized reasoning, wisdom illustration, making plans, and computing device studying stay completely investigated. the gathering additionally exhibits a turning out to be curiosity within the box of multi-agent platforms, conception 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 in a while the reviewing of the forty-one papers submitted for booklet during this quantity. They supplied 3 reports for every manuscript, by means of counting on the aid of worthy extra reviewers. The contributors of the organizing committee, specifically 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 aiding at fixing difficulties in the course of and after the congress.
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Additional 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
Sensitivity Analysis for Threshold Decision 45 In a sensitivity analysis of a Bayesian belief network, the relation between a probability of interest and a conditional probability under study is a simple mathematical function. In general, the probability of interest relates to a conditional probability under study as a quotient of two linear functions. For the posterior probability of interest Pr(d | o), given some observations o, and a conditional probability x, we have that Pr(d | o) = a·x+b e·x+f where a, b, e, and f are constants.
In ) for certain values Ik = ik , k = 1, . . , n. Under this condition, it is assumed that Pr(e|i1 , . . , in ) = 1; otherwise, when f (i1 , . . , in ) = e = e, it holds that Pr(e|i1 , . . , in ) = 0. Note that the eﬀect variable E is conditionally independent of C1 , . . , Cn given the intermediate variables I1 , . . , In , and that each variable Ik is only dependent on its associated variable Ck ; hence, it holds that Pr(e|I1 , . . , In , C1 , . . , Cn ) = Pr(e|I1 , . . , In ) and n Pr(I1 , .
N, and E = e is satisﬁed, then e = f (i1 , . . , in ). 30 P. Lucas C1 C2 ... Cn I1 I2 ... In E f Fig. 1. Causal independence model. In terms of probability theory, the notion of causal independence can be formalised for a distinguished value e of E as follows: Pr(e|I1 , . . , In ) Pr(I1 , . . , In |C1 , . . , Cn ) Pr(e|C1 , . . ,In )=e meaning that the causes C1 , . . , Cn inﬂuence the common eﬀect E through the intermediate eﬀects I1 , . . , In only when e = f (I1 , . . , In ) for certain values Ik = ik , k = 1, .
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.)