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Get AI*IA 2007: Artificial Intelligence and Human-Oriented PDF

By Roberto Basili, Maria Teresa Pazienza

ISBN-10: 3540747818

ISBN-13: 9783540747819

This e-book constitutes the refereed court cases of the tenth Congress of the Italian organization for man made Intelligence, AI*IA 2007, held in Rome, Italy, in September 2007.

The forty two revised complete papers provided including 14 revised poster papers and three invited talks have been conscientiously reviewed and chosen from eighty submissions. The papers are equipped in topical sections on wisdom illustration and reasoning, multiagent platforms, allotted AIai, wisdom engineering, ontologies and the semantic internet, desktop studying, typical language processing, info retrieval and extraction, making plans and scheduling, AI and purposes. 3 distinct tracks depicting progresses in major program fields that characterize more and more suitable subject matters comprise 18 extra papers on AI and robotics, AI and expressive media, and clever entry to multimedia information.

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Extra info for AI*IA 2007: Artificial Intelligence and Human-Oriented Computing: 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy,

Sample text

In the discrete event systems framework, other well-known methods for diagnosability analysis, in particular [8], but also [9], [10], are devoted to centralized systems. In [11], diagnosability is analyzed upon a logic based formalism and within a statebased diagnosis framework that is closer to ours, however it focuses on centralized systems. The diagnosability analysis proposed in [12] also refers to a state-based diagnosis approach for centralized systems. [13,14,11] provide definitions of faults, fault modes, signatures and discriminability bridging different diagnosis approaches.

Examining the six pairs of partial fault modes containing m2 and m3 , the algorithm can determine that they are all discriminable except for (m2 = ok ∧ m3 = ab, m2 = ab ∧ m3 = ok). The relative extensions do not mention any other mode variables, therefore the algorithm can conclude that each refinement of (m2 = ok ∧ m3 = ab) is non-discriminable from each refinement of (m2 = ab ∧ m3 = ok). Examining the 4 pairs of partial fault modes containing m5 and m1 or m4 , the algorithm can determine that (m5 = ok∧m1 = ab, m5 = ab ∧ m1 = ab) and (m5 = ok ∧ m4 = ok, m5 = ab ∧ m4 = ok) are discriminable.

23 15. : Terminology and the Construction of Ontology. Terminology 11(1), 55–81 (2005) 16. : Evaluating ontological decisions with Ontoclean. Comms. of the ACM 45(2), 61–65 (2002) 17. : Aristotelian Categories and Cognitive Domains. Synthese 126, 473–515 (2001) 18. : Writing Science: Literacy and Discursive Power. The Falmer Press, London & Washington (1993) 19. : The Linguistic Wars. Oxford University Press, NewYork (1993) 20. : A Theory of Language and Information: A Mathematical Approach. Clarendon Press, Oxford (1991) 21.

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AI*IA 2007: Artificial Intelligence and Human-Oriented Computing: 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, by Roberto Basili, Maria Teresa Pazienza

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