9 research outputs found

    Négociation entre agents au sein des reseaux ad-hoc

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    International audienc

    Autonomy in Multi-Agent Systems

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    http://www.emse.fr/spip/IMG/pdf/RR_2005-700-004.pd

    Agent Negotiation in Ad-Hoc Networks

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    International audienc

    Using social power to enable agents to reason about being part of a group

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    5th International Workshop, ESAW 2004, Toulouse, France, October 20-22, 2004. Revised Selected and Invited Papers.International audienceOne of the main challenges in multi-agent systems is the coordination of autonomous agents. In order to achieve this coordination, the agents are considered to be part of what we call a group (e.g., organization, institution, team, normative society, etc.). Our goal is to enable an agent to reason about the implications of being part of a group: what does it gain or lose, what are the constraints imposed on its behaviour. The theory of social power has been proposed as a paradigm to describe the agent's behaviour. In this paper we use this theory, we formalize it and we extend it to include group-related aspects. We then show how, using this theory, an agent is able to reason about the constraints imposed on its behaviour by the group, for example to decide whether it should enter or not a group

    The Dialectics between an Individual and His Role

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    International audienc

    Huginn: Normative Reasoning Based on Mood

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    Coordination using social policies in dynamic agent organizations C3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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    We seek to engineer adaptive coordination between agents working in and across dynamic organizations in a complex, distributed setting. Guided by predefined social policies, agents can create social commitments at run time to achieve coordination of knowledge and behaviour. We demonstrate coordination requirements by providing example policies, drawing on the need for knowledge cultivation in an emergency management scenario.E
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