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机制整合信息

Mechanism Integrated Information.

作者信息

Barbosa Leonardo S, Marshall William, Albantakis Larissa, Tononi Giulio

机构信息

Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA.

Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S 3A1, Canada.

出版信息

Entropy (Basel). 2021 Mar 18;23(3):362. doi: 10.3390/e23030362.

Abstract

The Integrated Information Theory (IIT) of consciousness starts from essential phenomenological properties, which are then translated into postulates that any physical system must satisfy in order to specify the physical substrate of consciousness. We recently introduced an information measure (Barbosa et al., 2020) that captures three postulates of IIT-existence, intrinsicality and information-and is unique. Here we show that the new measure also satisfies the remaining postulates of IIT-integration and exclusion-and create the framework that identifies maximally irreducible mechanisms. These mechanisms can then form maximally irreducible systems, which in turn will specify the physical substrate of conscious experience.

摘要

意识的整合信息理论(IIT)始于基本的现象学属性,这些属性随后被转化为任何物理系统为了确定意识的物理基础而必须满足的假设。我们最近引入了一种信息测度(Barbosa等人,2020年),它涵盖了IIT的三个假设——存在、内在性和信息——并且是独一无二的。在这里,我们表明新的测度还满足IIT的其余假设——整合和排除——并创建了识别最大不可约机制的框架。这些机制随后可以形成最大不可约系统,而这些系统反过来将确定有意识体验的物理基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abb/8003304/8467819a68a3/entropy-23-00362-g0A1.jpg

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