Large language models (LLMs) have been widely used as agents to complete different
tasks, such as personal assistance or event planning. While most work has focused on …

This paper introduces Alympics, a platform that leverages Large Language Model (LLM)
agents to facilitate investigations in game theory. By employing LLMs and autonomous …

Large Language Models (LLMs) are transforming society and permeating into diverse
applications. As a result, LLMs will frequently interact with us and other agents. It is …

Large Language Model (LLM) agents have been increasingly adopted as simulation tools to
model humans in applications such as social science. However, one fundamental question …

Recent advancements in large language models (LLMs) have shown potential for human-
like agents. To help these agents adapt to new tasks without extensive human supervision …

Large Language Models (LLMs) have achieved remarkable success across a wide array of
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …

Recent years have seen an explosive increase in research on large language models
(LLMs), and accompanying public engagement on the topic. While starting as a niche area …

In this study, we investigate the capacity of large language models (LLMs), specifically GPT-
3.5, to operationalise natural language descriptions of cooperative, competitive, altruistic …

Agent-based modeling and simulation have evolved as a powerful tool for modeling
complex systems, offering insights into emergent behaviors and interactions among diverse …

Recent advances in large language models (LLM) have enabled richer social simulations,
allowing for the study of various social phenomena. However, most recent work has used a …