On evolution of non-binding commitments: Comment on “LLMs and generative agent-based models for complex systems research” by Y. Lu et al.

Research output: Contribution to journalComment/debatepeer-review

Abstract

Large Language Models (LLMs) possess capabilities that extend beyond language understanding and generation to model complex interactions based on straightforward prompts [1], [2]. This transformative potential has elicited interest across multiple disciplines as researchers investigate how LLMs can illuminate existing scientific challenges and open new paradigms for understanding complex systems [3], [4], [5]. In this context, Lu et al. provides a timely and comprehensive review, surveying recent advancements in the application of LLMs to complex systems [6]. Their work summarises the roles of LLMs in predicting social behaviour, enhancing cooperation in game theory, and simulating disease dynamics and the challenges in integrating LLMs into complex systems due to prompt sensitivity, hallucinations, or model characteristics.
Original languageEnglish
Pages (from-to)245-247
Number of pages3
JournalPhysics of Life Reviews
Volume52
DOIs
Publication statusAccepted/In press - 13 Jan 2025

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