Will Systems of LLM Agents Lead to Cooperation:An Investigation into a Social Dilemma
Year: 2025
Type: article
Abstract: This study investigates the emergent cooperative tendencies of systems of Large Language Model (LLM) agents in a social dilemma. Unlike previous research, where LLMs output individual actions, we prompt state-of-the-art LLMs to generate complete strategies for iterated Prisoner's Dilemma. Our findings reveal that LLMs exhibit biases when prompted to display certain behavioural dispositions, and the format of the prompt affects the relative success of aggressive versus cooperative strategies.
Authors: Willis, Richard, Du, Yali, Leibo, Joel Z.
Institutions: King's College London, Google DeepMind (United Kingdom)
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7110879247
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