3 citations · 4 across the 15 of their papers we have counts for
4 papers · 1 filter
Emergent Social Dynamics of LLM Agents in the El Farol Bar Problem
Ryosuke Takata, Atsushi Masumori, Takashi Ikegami
We investigate the emergent social dynamics of Large Language Model (LLM) agents in a spatially extended El Farol Bar problem, observing how they autonomously navigate this classic…
Evolution of Collective AI Beyond Individual Optimization
Ryosuke Takata, Yujin Tang, Yingtao Tian +3
This study investigates collective behaviors that emerge from a group of homogeneous individuals optimized for a specific capability. We created a group of simple, identical neural…
Evolution of Social Norms in LLM Agents using Natural Language
Ilya Horiguchi, Takahide Yoshida, Takashi Ikegami
Recent advancements in Large Language Models (LLMs) have spurred a surge of interest in leveraging these models for game-theoretical simulations, where LLMs act as individual agent…
A Simulation Environment for the Neuroevolution of Ant Colony Dynamics
Michael Crosscombe, Ilya Horiguchi, Norihiro Maruyama +2
We introduce a simulation environment to facilitate research into emergent collective behaviour, with a focus on replicating the dynamics of ant colonies. By leveraging real-world…