Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, United States of America.
Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, Virginia, United States of America.
PLoS Comput Biol. 2023 Oct 17;19(10):e1011465. doi: 10.1371/journal.pcbi.1011465. eCollection 2023 Oct.
This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates), and expresses them in mathematical terms. In principle, the postulates can be applied to any system of units in a state to determine whether it is conscious, to what degree, and in what way. IIT offers a parsimonious explanation of empirical evidence, makes testable predictions concerning both the presence and the quality of experience, and permits inferences and extrapolations. IIT 4.0 incorporates several developments of the past ten years, including a more accurate formulation of the axioms as postulates and mathematical expressions, the introduction of a unique measure of intrinsic information that is consistent with the postulates, and an explicit assessment of causal relations. By fully unfolding a system's irreducible cause-effect power, the distinctions and relations specified by a substrate can account for the quality of experience.
本文提出了综合信息理论(IIT)4.0。IIT 旨在用物理(操作)术语来解释经验的属性。它确定了经验的基本属性(公理),推断出其基质必须满足的必要和充分属性(假设),并用数学术语表达它们。原则上,这些假设可以应用于处于某种状态的任何单位系统,以确定它是否有意识,以及在何种程度和何种方式有意识。IIT 为经验证据提供了一个简洁的解释,对经验的存在和质量做出了可测试的预测,并允许进行推理和推断。IIT 4.0 包含了过去十年的几项发展,包括将公理更准确地表述为假设和数学表达式,引入了一个与假设一致的内在信息的独特度量,以及对因果关系的明确评估。通过充分展开系统的不可约因果力量,基质指定的区别和关系可以解释经验的质量。