关于综合信息理论中的非独特性问题
Jake R Hanson1,2,3, Sara I Walker1,2,4,5,3
1School of Earth and Space Exploration, Arizona State University, Tempe, AZ, USA.
Neuroscience of consciousness
|August 10, 2023
概括
综合信息理论综合信息理论
科学领域:
- 神经科学是一个神经科学.
- 意识研究 意识研究
- 数学生物学 数学生物学
背景情况:
- 综合信息理论 (IIT) 3.0是一个重要的意识理论.
- IIT 3.0 量化了意识,使用了从现象学公理中衍生出的标量尺度, Φ.
研究的目的:
- 在综合信息理论 (IIT) 中调查 Φ 测量的数学严谨性 3.0.0.
- 为了确定 Φ 值是否对给定的系统具有独特的定义.
主要方法:
- 开发了一种算法来计算基于 IIT 3.0 的数学定义的系统的所有可能的 Φ 值.
- 分析了已公布的 Φ 值及其选择标准.
主要成果:
- 证明 Φ 度量不是一个明确定义的数学概念,产生非唯一的值.
- 表明公布的 Φ 值是从多个有效的替代方案中任意选择的.
- 确定了在系统中同时预测高和低的Φ值的实例.
结论:
- 目前IIT 3.0的制定并没有提供可决定的意识度量,因为 Φ. 的非唯一性.
- 系统中意识和非意识的重新解释在当前的IIT 3.0框架下是不可决定的.
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