By Sergio Pajares, Eva Onaindia (auth.), Ioannis Hatzilygeroudis, Jim Prentzas (eds.)
The blend of other clever equipment is a really energetic learn quarter in synthetic Intelligence (AI). the purpose is to create built-in or hybrid tools that make the most of each one in their elements. many of the present efforts mix gentle computing tools both between themselves or with extra conventional AI equipment resembling common sense and principles. one other movement of efforts integrates computing device studying with soft-computing or conventional AI equipment. one more integrates agent-based techniques with common sense and likewise non-symbolic ways. many of the combos were relatively vital and extra widely used, like neuro-symbolic equipment, neuro-fuzzy tools and techniques combining rule-based and case-based reasoning. even though, there are different combos which are nonetheless below research, akin to these regarding the Semantic Web.
The 2nd Workshop on “Combinations of clever equipment and purposes” (CIMA 2010) was once meant to turn into a discussion board for replacing event and concepts between researchers and practitioners who're facing combining clever equipment both in response to first ideas or within the context of particular functions. CIMA 2010 was once held along with the 22nd IEEE overseas convention on instruments with man made Intelligence (ICTAI 2010). additionally, a unique music was once geared up in ICTAI 2010, below a similar identify.
This quantity comprises revised models of the papers provided in CIMA 2010 and one of many brief papers provided within the corresponding ICTAI 2010 targeted tune. additionally it is a paper of the editors as invited.
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Extra info for Combinations of Intelligent Methods and Applications: Proceedings of the 2nd International Workshop, CIMA 2010, France, October 2010
Comb. of Intell. , SIST 8, pp. 21–39. com © Springer-Verlag Berlin Heidelberg 2011 22 I. Toulgoat, P. Siegel, and Y. Lacroix operational performance of a submarine is the detection acoustique performance and the risk of being detected by an ennemy. At the DCNS, the simulator framework ATANOR models complex scenarios involving several platforms with combat system and equipment . In this simulator framework, the behavior is modelled with Petri nets , composed of places, which model the equipment states and transitions between these places.
The dynamics of action selection. In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, vol. 2, pp. 991–997 (1989) 12. : Possibilistic stable models. In: International Joint Conferences on Artificial Intelligence, vol. 19, p. 248 (2005) 13. : Fundamentals of a theory of asynchronous information flow. In: 1st IFIP World Computer Congress, p. 386 (1962) 14. : Behavior coordination mechanisms-state-of-the-art. Institute for Robotics and Intelligent Systems, School of Engineering, University of Southern California.
We calculate a weight function for each extension, thanks to preferences on defaults. Then, we use simple probabilistic techniques to choose between these extensions. This work has been implemented using Prolog, and interfaced with DCNS simulator , . In the following paper we will first present the case study and some behavior rules. Then, we will present the limits of the classical logic and why we need the nonmonotonic logic. We will explain the formalization of the behavior rules with Operator Behavior Modelling in a Submarine 23 default logic.