April 26, 2024, 4:47 a.m. | Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Sch\"olkopf, Mrinmaya Sachan, Rada Mihalcea

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.16698v1 Announce Type: new
Abstract: In the rapidly evolving field of artificial intelligence, ensuring safe decision-making of Large Language Models (LLMs) is a significant challenge. This paper introduces Governance of the Commons Simulation (GovSim), a simulation platform designed to study strategic interactions and cooperative decision-making in LLMs. Through this simulation environment, we explore the dynamics of resource sharing among AI agents, highlighting the importance of ethical considerations, strategic planning, and negotiation skills. GovSim is versatile and supports any text-based agent, …

abstract agents artificial artificial intelligence arxiv challenge cs.cl decision emergence governance intelligence interactions language language models large language large language models llm llms making paper platform safe simulation society study sustainability type

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