By Stefano Ferilli, Nicola Di Mauro, Teresa M. A. Basile, Floriana Esposito (auth.), Amedeo Cappelli, Franco Turini (eds.)
This booklet constitutes the refereed lawsuits of the eighth Congress of the Italian organization for man made Intelligence, AI*IA 2003, held in Pisa, Italy in September 2003.
The forty four revised complete papers offered have been conscientiously reviewed and chosen from ninety one submissions. The papers are prepared in topical sections on wisdom illustration and reasoning, gentle computing, computing device studying, facts mining, clever brokers, making plans, robotics, normal language processing, and purposes in a variety of fields.
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Additional resources for AI*IA 2003: Advances in Artificial Intelligence: 8th Congress of the Italian Association for Artificial Intelligence, Pisa, Italy, September 2003. Proceedings
A state of the world w is a propositional sentence. A decision d of agent A (N) in state w is a propositional formula built from A (N ) only, such that w ∧ d is consistent. We make several strong assumptions. A full qualitative decision theory has to incorporate a way to encode consequences of decisions. , the state of the world implies a truth value for each parameter, then we do not have to consider such eﬀects, because eﬀectively we only reason with ought-to-do obligations. An obligation OAN (p) is an ought-to-do obligation if p contains variables of A only, and an ought-to-be obligation otherwise.
OAN does not satisfy S. OAN satisﬁes W if DN satisﬁes W, VN A trivializes in the sense that it satisﬁes W as well as S, and SN A satisﬁes W. OAN satisﬁes AND if DN satisﬁes AND and W, VN A trivializes, and SN A satisﬁes OR. OAN satisﬁes OR if DN satisﬁes OR and AND, VN A satisﬁes W and AND, and SN A satisﬁes AND. OAN satisﬁes D if DN satisﬁes D. Corollary 1. OAN satisﬁes W, AND and OR if DN is a normal modal operator, VN A trivializes and SN A is the negative of a normal modal operator. 2 Interpretation of Results The corollary explains why Anderson’s reduction, as well as most deontic logics developed along this line, only consider a single violation constant.
Diagnosis and decision making in normative reasoning. Artificial Intelligence and Law, 7(1):51–67, 1999. it Abstract. Conﬁguration was one of the ﬁrst tasks successfully approached via AI techniques. However, solving conﬁguration problems can be computationally expensive. In this work, we show that the decomposition of a conﬁguration problem into a set of simpler and independent subproblems can decrease the computational cost of solving it. In particular, we describe a novel decomposition technique exploiting the compositional structure of complex objects and we show experimentally that such a decomposition can improve the eﬃciency of conﬁgurators.
AI*IA 2003: Advances in Artificial Intelligence: 8th Congress of the Italian Association for Artificial Intelligence, Pisa, Italy, September 2003. Proceedings by Stefano Ferilli, Nicola Di Mauro, Teresa M. A. Basile, Floriana Esposito (auth.), Amedeo Cappelli, Franco Turini (eds.)