Authors: Jean-Paul Jamont; Michel Occello
Addresses: LCIS – Université Grenoble Alpes, 50 rue Barthelemy de Laffemas, BP 54 – 26902 Valence Cedex 9, France ' LCIS – Université Grenoble Alpes, 50 rue Barthelemy de Laffemas, BP 54 – 26902 Valence Cedex 9, France
Abstract: Today, embedded applications become large scale and strongly constrained. They require a decentralised embedded intelligence generating challenges for embedded systems. A multi-agent approach is well suited to model and design decentralised embedded applications. It is naturally able to take up some of these challenges. But some specific points have to be introduced, enforced or improved in multi-agent approaches to reach all features and all requirements. In this article, we present a study of specific activities that can complement multi-agent paradigm in the 'embedded' context. We use our experience with the DIAMOND method to introduce and illustrate these features and activities.
Keywords: multi-agent systems; MAS; agent-based systems; collective intelligence; embedded systems; agent oriented analysis; agent design; collective CPS; cyber-physical systems; real world applications; decentralised systems.
International Journal of Agent-Oriented Software Engineering, 2015 Vol.5 No.1, pp.22 - 68
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