Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation

As LLM-based agents with user-instructed goals are becoming widely deployed, they increasingly encounter each other in strategic interactions, and face challenges of finding mutually beneficial outcomes. Prior literature has argued that cooperation problems such as the Prisoner's Dilemma are resolvable in settings where agents know they follow very similar decision making patterns, as for example in monocultural AI ecosystems. Following that line of work, this paper introduces the first framewor

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ethics.ai (12 August 2026), “Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation,” evidence record 19035, https://ethics.ai/record/19035 (originally published by arXiv cs.AI).

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