Download PDF by Stefano Ferilli, Nicola Di Mauro, Teresa M. A. Basile,: AI*IA 2003: Advances in Artificial Intelligence: 8th

By Stefano Ferilli, Nicola Di Mauro, Teresa M. A. Basile, Floriana Esposito (auth.), Amedeo Cappelli, Franco Turini (eds.)

ISBN-10: 354020119X

ISBN-13: 9783540201199

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

Example text

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.

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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.)


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