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意识因果关系、观察者-被观察者同时性以及整合信息理论的时间问题。

Conscious Causality, Observer-Observed Simultaneity, and the Problem of Time for Integrated Information Theory.

作者信息

Sanfey John

机构信息

Independent Researcher, London, UK.

出版信息

Entropy (Basel). 2024 Jul 30;26(8):647. doi: 10.3390/e26080647.

DOI:10.3390/e26080647
PMID:39202117
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11353450/
Abstract

Without proven causal power, consciousness cannot be integrated with physics except as an epiphenomenon, hence the term 'hard problem'. Integrated Information Theory (IIT) side-steps the issue by stating that subjective experience must be identical to informational physical structures whose cause-and-effect power is greater than the sum of their parts. But the focus on spatially oriented structures rather than events in time introduces a deep conceptual flaw throughout its entire structure, including the measure of integrated information, known as . However, the problem can be corrected by incorporating the temporal feature of consciousness responsible for the hard problem, which can ultimately resolve it, namely, that experiencer and experienced are not separated in time but exist simultaneously. Simultaneous causation is not possible in physics, hence the hard problem, and yet it can be proven deductively that consciousness does have causal power because of this phenomenological simultaneity. Experiencing presence makes some facts logically possible that would otherwise be illogical. Bypassing the hard problem has caused much of the criticism that IIT has attracted, but by returning to its roots in complexity theory, it can repurpose its model to measure causal connections that are temporally rather than spatially related.

摘要

如果没有被证实的因果力,意识就无法与物理学整合,除非作为一种副现象,因此有了“难题”这一术语。整合信息理论(IIT)通过宣称主观体验必定等同于因果力大于其各部分之和的信息物理结构来避开这个问题。但是,关注空间导向的结构而非时间中的事件在其整个结构中引入了一个深刻的概念缺陷,包括整合信息的度量,即。然而,通过纳入导致难题的意识的时间特征可以纠正这个问题,这最终可以解决该问题,也就是说,体验者和被体验者在时间上并非分离而是同时存在。同时因果关系在物理学中是不可能的,因此产生了难题,然而,可以通过演绎证明,由于这种现象学上的同时性,意识确实具有因果力。体验当下使得一些事实在逻辑上成为可能,否则这些事实将是不合逻辑的。避开难题引发了整合信息理论所招致的许多批评,但通过回归其复杂性理论的根源,它可以重新调整其模型,以测量时间上而非空间上相关的因果联系。