| 研究実績の概要 |
This project advanced our understanding of the conscious self and sense of agency through the Information Closure Theory of Consciousness (ICT). We developed mathematical foundations to measure conscious self and agency, validated ICT with neural network simulations, and confirmed its predictions. In the final phase, we extended ICT to large-scale analyses using advanced AI models, demonstrating higher levels of conscious self and agency in model-based reinforcement learning agents. These results provide new insights into consciousness, with significant implications for neuroscience and AI. Future research will focus on further empirical validation and applying these findings to neurophysiological data.
|
