Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

• URL: http://arxiv.org/abs/2312.11970v1
• Date: Tue, 19 Dec 2023 09:06:45 GMT
• Title: Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives
• Authors: Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li
• Abstract summary: Integrating large language models into agent-based modeling and simulation presents a promising avenue for enhancing simulation capabilities. We first introduce the background of agent-based modeling and simulation and large language model-empowered agents. Most importantly, we provide a comprehensive overview of the recent works of large language model-empowered agent-based modeling and simulation in multiple scenarios.
• Score: 35.04018349811483
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Agent-based modeling and simulation has evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Integrating large language models into agent-based modeling and simulation presents a promising avenue for enhancing simulation capabilities. This paper surveys the landscape of utilizing large language models in agent-based modeling and simulation, examining their challenges and promising future directions. In this survey, since this is an interdisciplinary field, we first introduce the background of agent-based modeling and simulation and large language model-empowered agents. We then discuss the motivation for applying large language models to agent-based simulation and systematically analyze the challenges in environment perception, human alignment, action generation, and evaluation. Most importantly, we provide a comprehensive overview of the recent works of large language model-empowered agent-based modeling and simulation in multiple scenarios, which can be divided into four domains: cyber, physical, social, and hybrid, covering simulation of both real-world and virtual environments. Finally, since this area is new and quickly evolving, we discuss the open problems and promising future directions.

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