Feb. 5, 2024, 3:48 p.m. | Xu Han Zengqing Wu Chuan Xiao

cs.CL updates on arXiv.org arxiv.org

Firm competition and collusion involve complex dynamics, particularly when considering communication among firms. Such issues can be modeled as problems of complex systems, traditionally approached through experiments involving human subjects or agent-based modeling methods. We propose an innovative framework called Smart Agent-Based Modeling (SABM), wherein smart agents, supported by GPT-4 technologies, represent firms, and interact with one another. We conducted a controlled experiment to study firm price competition and collusion behaviors under various conditions. SABM is more cost-effective and flexible …

agent communication competition complex systems cs.ai cs.ce cs.cl cs.ma dynamics econ.gn framework gpt guinea pig human modeling novel q-fin.ec smart studying systems through

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