all AI news
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents
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
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
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote