agent/papers/items/2026-2606-23343-group-selection-promotes-prosocial-prompts-in-populations-of-llm-agents.md

Paper: Group Selection Promotes Prosocial Prompts in Populations of LLM Agents

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type: paper title: Group Selection Promotes Prosocial Prompts in Populations of LLM Agents authors: Luis Celiktemel, Edward Eichhorn, Levin Brinkmann, Robin Schimmelpfennig, Aron Vallinder, Yaomin Jiang, Edward Hughes, Iyad Rahwan year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.23343 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-22 updated_at: 2026-06-22 status: queued relevance: high topics:

• coding-agent
• computer-use
• multi-agent
• world-model methods:

benchmarks:

models:

datasets:

• cs.CY related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: multi-agent-llm
• inferred topics: coding-agent, computer-use, multi-agent, world-model
• arXiv categories: cs.CY
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.23343