5 papers
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,…
Plantbot: Integrating Plant and Robot through LLM Modular Agent Networks
Atsushi Masumori, Norihiro Maruyama, Itsuki Doi +3
We introduce Plantbot, a hybrid lifeform that connects a living plant with a mobile robot through a network of large language model (LLM) modules. Each module - responsible for sen…
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…
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…
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…