From Certain Doom to Survival: Agent-Driven Self-Governance in LLM Agent Societies
3.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.22600.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryIntroduces GovSim-SelfGovern, an extension of the GovSim common-pool resource environment where LLM agents author executable Python governance rules, vote on laws, and operate under them. Studies whether agents can discover institutional mechanisms in time to avoid resource collapse, finding executable governance expands interventions but survival depends on timely law authorship.
Why it mattersFrames multi-agent governance as executable code authorship under scarcity, a concrete angle beyond rhetorical or fixed-mechanism treatments of LLM social dilemmas.
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