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Gestion d'intentions multiples pour agents ambiants coopératifs

Abstract : Ambient Intelligent (AmI) environments dynamically provide contextual information to intelligent agents that interact with them. In such environments, could these agents cooperate to improve their goal achievement, considering multiple intentions from several agents? With multiple agents, cooperation will depend on each agent's own intentions. Agents adapt to dynamic changes in the environment using context-aware planning mechanisms such as the Contextual Planning System (CPS), which proposes an optimal plan for a single agent based on the current context. In this paper we present the Collective CPS (CCPS), an opportunistic cooperative planning mechanism for multiple agents in AmI environments. CCPS allows agents to partially delegate their own plans or to collaborate with other agents' plans during their execution, while retaining individual planning capabilities. A working scenario is shown for a realistic AmI environment, such as a smart Campus.
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https://hal.sorbonne-universite.fr/hal-02893406
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  • HAL Id : hal-02893406, version 1

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Arthur Casals, Assia Belbachir, Amal El Fallah-Seghrouchni, Anarosa Alves Franco Brandão. Gestion d'intentions multiples pour agents ambiants coopératifs. Journées Francophones sur les Systèmes Multi-Agents, Oct 2018, Métabief, France. ⟨hal-02893406⟩

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