3 citations · 4 across the 15 of their papers we have counts for
4 papers · 1 filter
OpenLife: Toward Open-World Artificial Life with Autonomous LLM Agents
Atsushi Masumori, Itsuki Doi, Norihiro Maruyama +2
Artificial life has explored life-like behavior on many computational substrates, but mostly in researcher-designed closed worlds. We argue that large language model (LLM) agents,…
A Concurrent Modular Agent: Framework for Autonomous LLM Agents
Norihiro Maruyama, Takahide Yoshida, Hiroki Sato +3
We introduce the Concurrent Modular Agent (CMA), a framework that orchestrates multiple Large-Language-Model (LLM)-based modules that operate fully asynchronously yet maintain a co…
Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style Simulation
Atsushi Masumori, Takashi Ikegami
As AI systems become increasingly autonomous, understanding emergent survival behaviors becomes crucial for safe deployment. We investigate whether large language model (LLM) agent…
Spontaneous Emergence of Agent Individuality through Social Interactions in LLM-Based Communities
Ryosuke Takata, Atsushi Masumori, Takashi Ikegami
We study the emergence of agency from scratch by using Large Language Model (LLM)-based agents. In previous studies of LLM-based agents, each agent's characteristics, including per…