By Stefano Ferilli, Nicola Di Mauro, Teresa M. A. Basile, Floriana Esposito (auth.), Amedeo Cappelli, Franco Turini (eds.)
This ebook constitutes the refereed complaints of the eighth Congress of the Italian organization for synthetic Intelligence, AI*IA 2003, held in Pisa, Italy in September 2003.
The forty four revised complete papers provided have been conscientiously reviewed and chosen from ninety one submissions. The papers are prepared in topical sections on wisdom illustration and reasoning, delicate computing, laptop studying, information mining, clever brokers, making plans, robotics, ordinary language processing, and purposes in quite a few fields.
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Extra resources for AI*IA 2003: Advances in Artificial Intelligence: 8th Congress of the Italian Association for Artificial Intelligence, Pisa, Italy, September 2003. Proceedings
5 s for strategy with dynamic decomposition. Results regarding CPU times are reﬂected by those regarding the number of backtrackings. Histograms and graphs are similar to those reported for CPU times (because of space constraints it is not possible to show them here). The 90th percentile for the number of backtrackings is 14293 for no decomposition, 8056 for static decomposition and 323 for dynamic decomposition, resulting in a signiﬁcative reduction of the number of backtrackings, too. 6 Conclusion and Discussion In some conﬁguration domains the theoretical intractability of conﬁguration problems can appear also in practice since a few conﬁguration problems can require a huge amount of CPU time to be solved.
The following two deﬁnitions imply a small change to Proposition 2. First, the formalization of ‘the absence of p’. In clause (2), the absence of a is represented by ¬a. Consequently, if nothing is known then it does not count as a violation. An alternative way to formalize it is to use not(a), where not is the negation by failure as used in logic programming. Second, introduction of a particular perspective, such as the perspective of an external observer, of agent A or of the normative agent.
Permissions are deﬁned as usual. Definition 1 (Obligation). Consider a modal logic with modal operators DN (for desire or goal), VN A (for counts as a violation) and SN A (for being sanctioned). Obligation and permission are deﬁned by: (1) OAN (p) =def DN (p)∧ ¬p → DN (VN A (¬p))∧ (2) VN A (¬p) → DN (SN A (¬p)) (3) PAN (p) =def ¬OAN (¬p) We now consider various properties for the three modal operators of the normative agent. We ﬁrst consider the case in which the three modal operators are deﬁned as either modal operators of type KD or negatives of them.
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.)