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cs.MA2026
Model Capacity Frontier: A Development Framework for LLM-Supported Social Simulation
Patrick Zhao, Yuxuan Li, Hirokazu Shirado
Large language model (LLM) agents are increasingly incorporated into agent-based models (ABMs) on the premise that richer, context-sensitive human behavior can improve empirical fi…
cs.MA2023
Deconstructing Cooperation and Ostracism via Multi-Agent Reinforcement Learning
Atsushi Ueshima, Shayegan Omidshafiei, Hirokazu Shirado
Cooperation is challenging in biological systems, human societies, and multi-agent systems in general. While a group can benefit when everyone cooperates, it is tempting for each a…