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

揭示意识信息闭合理论下意识自我和能动感的信息本质

基本信息

批准号：
22K20679
负责人：
チャンユーチャン
金额：
$ 1.75万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Research Activity Start-up
财政年份：
2022
资助国家：
日本
起止时间：
2022-08-31 至 2024-03-31
项目状态：
已结题

项目摘要

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.

研究更新：我们已经成功地完成了我们项目的第一阶段，在信息闭合理论(ICT)框架内建立了意识自我和代理的数学基础。通过假设信息闭合(IC)和非平凡的信息闭合(NTIC)，我们已经开始了解神经系统中意识可能是如何依赖于尺度的。目前正在进行的第二阶段涉及小规模的模拟。早期的结果是有希望的，人工试剂在训练后显示出潜在的NTIC过程。我们正在努力确定这些进程是否不仅编码了环境数据，还编码了有关系统分区和操作状态的信息。如果成功，这些结果将为在第三阶段将我们改进的ICT框架应用于领先的人工系统提供关键的一步，从而为人工智能研究中的神经科学和伦理讨论做出重大贡献。除了前两个阶段的进展外，我们还在研究的实际意义方面取得了几项重大突破。我们已经确定了关键的神经科学见解，这些见解可能会对我们对人脑和意识的理解产生深远影响，我们还发现了我们在人工智能系统方面的工作的潜在伦理影响。