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LLM agents explore delegation dilemma in new research paper

By PulseAugur Editorial · [2 sources] ·

A new research paper titled "The Delegation Dilemma: Economies of Scale, Accountability, and Polycentric Governance" explores how agents in collective-action systems organize into institutions. The study, conducted by Panayiotis Danassis, uses simulations with large language model (LLM) agents to investigate the trade-offs between the size of a constituency and its accountability to representatives. The findings suggest that larger groups benefit from cost-sharing but may lead to less accountability, and that polycentric governance structures can emerge in certain scenarios. AI

IMPACT Investigates how LLM agents behave in simulated collective-action scenarios, offering insights into AI governance and decision-making.

RANK_REASON Research paper published on arXiv.

Read on arXiv cs.MA (Multiagent) →

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

LLM agents explore delegation dilemma in new research paper

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Arin Mukhopadhyay, Aris Filos-Ratsikas, Panayiotis Danassis ·

    The Delegation Dilemma: Economies of Scale, Accountability, and Polycentric Governance

    arXiv:2610.21746v1 Announce Type: cross Abstract: Many collective-action systems are neither fully decentralized nor fully centralized: agents voluntarily organize into institutions that share organizational costs and delegate decisions to representatives. Delegation can reduce i…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Panayiotis Danassis ·

    The Delegation Dilemma: Economies of Scale, Accountability, and Polycentric Governance

    Many collective-action systems are neither fully decentralized nor fully centralized: agents voluntarily organize into institutions that share organizational costs and delegate decisions to representatives. Delegation can reduce individual costs, but it also transfers control to …

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