5 papers
An evolutionary model of animats with VLM-based subjective evaluation
Shota Miyazaki, Takaya Arita, Reiji Suzuki
In this study, we propose a framework that incorporates subjective evaluations provided by a Vision-Language Model (VLM) into the fitness evaluation and selection processes of a ge…
How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm
Taisei Hishiki, Takaya Arita, Reiji Suzuki
This study examines how memory shapes the collective and cooperative dynamics of Large Language Model (LLM) agents in a multi-agent system. To this end, we extend the Social Partic…
Assessing LLMs in Art Contexts: Critique Generation and Theory of Mind Evaluation
Takaya Arita, Wenxian Zheng, Reiji Suzuki +1
This study explored how large language models (LLMs) perform in two areas related to art: writing critiques of artworks and reasoning about mental states (Theory of Mind, or ToM) i…
Evolutionary ecology of words
Reiji Suzuki, Takaya Arita
We propose a model for the evolutionary ecology of words as one attempt to extend evolutionary game theory and agent-based models by utilizing the rich linguistic expressions of La…
Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
Solvi Arnold, Reiji Suzuki, Takaya Arita +1
Advanced biological intelligence learns efficiently from an information-rich stream of stimulus information, even when feedback on behaviour quality is sparse or absent. Such learn…