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

• 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
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K20679/
• 关键词: Consciousness; ICT; Mathematical Model; Neural Systems; Sense of Agency; Artificial Intelligence; Scale Problem; Simulation; information closure; Conscious Action

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：我们已经成功完成了项目的第一阶段，在信息闭合理论（ICT）框架内建立了意识自我和能动性的数学基础。通过假设信息闭合（IC）和非平凡信息闭合（NTIC），我们已经开始理解意识如何在神经系统内具有尺度依赖性。目前正在进行的第二阶段涉及小规模模拟。早期结果是有希望的，人工智能体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环境数据，还编码有关系统分区和操作状态的信息。如果成功，这些结果将为第三阶段将我们完善的 ICT 框架应用于领先的人工系统迈出关键一步，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’我们的研究在实际意义方面也取得了一些重大突破。我们已经确定了可能对我们对人类大脑和意识的理解产生深远影响的关键神经科学见解，并且我们还发现了我们与人工智能系统合作的潜在伦理影响。

项目成果

The Sense of Agency as active causal inference at an abstract action plan level.

代理意识是抽象行动计划层面的主动因果推理。

• 发表时间: 2022
• 作者: 松葉史紗子;西嶋翔太;西嶋 翔太;Acer Chang
• 通讯作者: Acer Chang