Download e-book for kindle: AI*IA 2013: Advances in Artificial Intelligence: XIIIth by Mario Alviano, Carmine Dodaro, Francesco Ricca (auth.),

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

This e-book constitutes the refereed complaints 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 rigorously reviewed and chosen from 86 submissions. The convention covers extensively the various points of theoretical and utilized synthetic Intelligence as follows: wisdom illustration and reasoning, computing device studying, common language processing, making plans, allotted AI: robotics and MAS, recommender structures and semantic internet and AI applications.

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Read Online or Download AI*IA 2013: Advances in Artificial Intelligence: XIIIth International Conference of the Italian Association for Artificial Intelligence, Turin, Italy, December 4-6, 2013. Proceedings PDF

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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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Integrators are the building block to embed continuous dynamics in P TOLEMY II diagrams. – Extended State Machines (ESM). An ESM defines an atomic actor with a given set input and output ports. Internally, ESMs may evolve in a finite number of discrete locations (states). , a set of actors M = {Ac , A1 , . . , An } such that • Ac is an ESM actor, called the controller of the modal model. Ac must have exactly n locations denoted l1 , . . , ln where location li is refined into actor Ai . • All actors in M have the same sets of input and output variables.

25–36, 2013. c Springer International Publishing Switzerland 2013 26 G. Cicala, M. Oreggia, and A. , “formal and explicit specification of conceptualizations” — and actor-based models — as introduced in [1] with the extensions found in [7]. , the ability to cope with taxonomies and part-whole relationships, and the ability to handle heterogeneous attributes. , the DLLite family introduced in [2]. , a situation wherein different parts of a system have inherently distinct properties, and therefore require different types of models.

In this scenario, we compare the performances of a DDSS generated by ONDA with those of a hand-made DDSS implementing the same diagnostic rules. We conclude the paper in Section 4 with some final remarks and an outline of our future research agenda. , factual data and their classification. Filling the Abox with known facts structured according to the Tbox is a process known as ontology population. One of the mainstream languages for defining knowledge bases is OWL 2 (Web Ontology Language Ver. 2) described in [8].

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