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New research models decentralized coalition formation dynamics · 2 sources tracked

This paper introduces a model for coalition formation in decentralized systems, where agents make unilateral exit-and-join decisions. The research focuses on how agents evaluate moves using the Aumann-Dreze value, ensuring payoffs are calculated within their current coalition. The study establishes equilibrium characterizations and analyzes the impact of switching and acceptance costs on local stability, supported by numerical experiments. AI

IMPACT This research contributes to the theoretical understanding of decentralized decision-making in AI systems.

RANK_REASON The cluster contains two identical arXiv papers on a theoretical topic in AI.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research models decentralized coalition formation dynamics · 2 sources tracked

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The cluster contains two identical arXiv papers on a theoretical topic in AI.
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112 days old
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Quanyan Zhu ·

    Exit-and-Join Dynamics for Decentralized Coalition Formation

    arXiv:2606.19683v1 Announce Type: new Abstract: This paper studies coalition formation as a decentralized dynamical process driven by unilateral exit-and-join decisions. Agents evaluate local moves using the Aumann-Dreze value, so payoffs are computed within the agent's current c…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Quanyan Zhu ·

    Exit-and-Join Dynamics for Decentralized Coalition Formation

    This paper studies coalition formation as a decentralized dynamical process driven by unilateral exit-and-join decisions. Agents evaluate local moves using the Aumann-Dreze value, so payoffs are computed within the agent's current coalition rather than through a globally negotiat…