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Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs

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Published in:ArXiv cs.MA Recent Papers
Format: Online Article RSS Article
Published: 2026
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journal_source_facet ArXiv cs.MA Recent Papers
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publishDateSort 2026
record_format rss_article
spellingShingle Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
subject_facet ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
title Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
title_auth Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
title_full Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
title_fullStr Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
title_full_unstemmed Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
title_short Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
title_sort sustaining cooperation in populations guided by ai: a folk theorem for llms
topic ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
url https://arxiv.org/abs/2605.06525v1