International audiencePower distribution constitutes a critical service for our economy. To foreseen electricity overload and risks of power blackout according to external perturbations such as the weather, the temperature or the barometric pressure in real time is a crucial challenge. In order to face those problems, research tends to involve consumers in the utilization of the electricity based on weather conditions. Our previous works had proposed an agent based architecture to support this alert mechanism. The architecture exploited a static assignment of functions to agents. That static assignment was a weak point because isolating an agent or breaking the communication channel between two of them created serious damage on the crisis management. In this paper, we complete our previous works and make dynamic the assignment of functions mobile for agents. Our approach exploits the concept of agent responsibility that we dynamically assigned to the agent taking into consideration the agent's reputation
Abstract. In Multi-Agent Systems, Organizations are means to structure cooperation and collaboration between agents. MoiseInst is a normative Organization model giving the possibility to constraint agents behaviour according to four dimensions (structural, functional, contextual and normative). Mabeli as Electronic Institution model allows the supervision of MoiseInst Organizations compliance through an arbitration system. The difficulty is to easily instantiate such Organizations to obtain a dynamic entity in which agents can evolve. In this paper we introduce Utopia, our Institution-oriented and Institution-based programming framework. Utopia permits to easily and automatically set up a MAS thanks to a XML MoiseInst Specification file. The framework convert this file into an innovative mathematical structure namely a recursive graph, and solve several optimization problems in order to compute the most efficient role distribution. We show a concrete application of the prototype through RED, an EUREKA/CELTIC European project use-case.
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