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Large language models empowered agent-based modeling and simulation: a survey and perspectives

Computer Science

Large language models empowered agent-based modeling and simulation: a survey and perspectives

C. Gao, X. Lan, et al.

Agent-based modeling and simulation reveal emergent behaviors in complex systems, and integrating large language models promises to enhance those capabilities. This survey examines the motivation, key challenges (environment perception, human alignment, action generation, evaluation), and recent LLM-empowered simulations across cyber, physical, social, and hybrid domains, and outlines open problems and future directions. This research was conducted by the authors present in <Authors>.

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~3 min • Beginner • English
Citation Metrics
Citations
4
Influential Citations
6
Reference Count
247
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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