Reveal the informational nature of conscious self and sense of agency under the information closure theory of consciousness

点击翻译按钮获取中文摘要

Research Update: We have successfully navigated the first phase of our project, establishing mathematical foundations of conscious self and agency within the Information Closure Theory (ICT) framework. By hypothesizing informational closure (IC) and non-trivial informational closure (NTIC), we've begun to understand how consciousness might be scale-dependent within the neural system. The second phase, presently underway, involves small-scale simulations. Early results are promising, with artificial agents displaying potential NTIC processes post-training. We're working diligently to determine if these processes encode not only environmental data but also information about the system's partition and action states. If successful, these results will provide a critical step towards applying our refined ICT framework to leading artificial systems in phase three, thereby contributing significantly to both neuroscience and ethical discussions in AI research.In addition to our progress in the first two phases, we've also made several significant breakthroughs in terms of the practical implications of our research. We've identified key neuroscientific insights that could have a profound impact on our understanding of the human brain and consciousness, and we've also uncovered potential ethical implications of our work with AI systems.