Combining DEVS with Multi-agent Concepts to Design and Simulate Multi-models of Complex Systems
Identifieur interne : 000651 ( Main/Merge ); précédent : 000650; suivant : 000652Combining DEVS with Multi-agent Concepts to Design and Simulate Multi-models of Complex Systems
Auteurs : Benjamin Camus [France] ; Christine Bourjot [France] ; Vincent Chevrier [France]Source :
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Abstract
We are interested in the multi-modeling and simulation of complex systems, that is representing a complex system as a set of interacting models and simulating it with a co- simulation approach. Representing and simulating the multi- model of a complex system requires to integrate heterogene- ity at several levels (representations, formalisms, simulation software, models’ interactions. . . ). In this article, we present our approach that consists of combining the DEVS formal- ism and multi-agent concepts in order to achieve these re- quirements. The use of the DEVS formalism enables a rigourous integration of models described with heteroge- neous formalisms and a rigourous simulation protocol. Multi- agent concepts ease the description of multi-perspective inte- gration and the reuse of existing heterogeneous simulators. We detail the combination of both in the AA4MM approach and illustrate its use in a proof of concept.
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<front><div type="abstract" xml:lang="en">We are interested in the multi-modeling and simulation of complex systems, that is representing a complex system as a set of interacting models and simulating it with a co- simulation approach. Representing and simulating the multi- model of a complex system requires to integrate heterogene- ity at several levels (representations, formalisms, simulation software, models’ interactions. . . ). In this article, we present our approach that consists of combining the DEVS formal- ism and multi-agent concepts in order to achieve these re- quirements. The use of the DEVS formalism enables a rigourous integration of models described with heteroge- neous formalisms and a rigourous simulation protocol. Multi- agent concepts ease the description of multi-perspective inte- gration and the reuse of existing heterogeneous simulators. We detail the combination of both in the AA4MM approach and illustrate its use in a proof of concept.</div>
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