Download AI*IA 2013: Advances in Artificial Intelligence: XIIIth by Mario Alviano, Carmine Dodaro, Francesco Ricca (auth.), PDF

By Mario Alviano, Carmine Dodaro, Francesco Ricca (auth.), Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio (eds.)

This e-book constitutes the refereed court cases of the thirteenth overseas convention of the Italian organization for synthetic Intelligence, AI*IA 2013, held in Turin, Italy, in December 2013. The forty five revised complete papers have been conscientiously reviewed and chosen from 86 submissions. The convention covers greatly the various features of theoretical and utilized man made Intelligence as follows: wisdom illustration and reasoning, laptop studying, traditional language processing, making plans, disbursed AI: robotics and MAS, recommender structures and semantic internet and AI applications.

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Extra resources for AI*IA 2013: Advances in Artificial Intelligence: XIIIth International Conference of the Italian Association for Artificial Intelligence, Turin, Italy, December 4-6, 2013. Proceedings

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Indeed, while most of the existing literature about DDSS focuses on improving the performances of automated diagnosis in some domain of interest, to the best of our knowledge there is no contribution in the way of generating customized DDSS from high-level specifications. Our research aims to fill this gap by developing a framework to generate customized DDSSs using a model-based design (MBD) approach. As mentioned in [7], MBD methodologies are gaining acceptance in industry to obtain system implementations from system designs specified using graphical languages endowed with formal syntax and semantics.

In: OWLED 2012 (2012) 11. : Failure diagnosis using discrete-event models. IEEE Transactions on Control Systems Technology 4(2), 105–124 (1996) 12. : Clinical decision support systems for the practice of evidence-based medicine. fr Abstract. The use of artificial intelligence to represent and reason about metabolic networks has been widely investigated due to the complexity of their imbrication.

Two basic principles determine the strength of a candidate B: - The more reliable, trustworthy (competent, well informed, and honest) the source (and the transmission of the information) the more credible the belief. The doxastic value of B is a function of the credibility of its source. That's why we preserve a good memory of belief sources: we need to “readjust” the credibility of a given source when we discover that its information was wrong; otherwise, we confirm that it was valid. This is complicated by the fact that some sources (communication sources) can also pass their own subjective degree of certainty.

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