Separating weak integrated information theory into inspired and aspirational approaches.

IF 3.1 Q1 PSYCHOLOGY, BIOLOGICAL Neuroscience of Consciousness Pub Date : 2023-05-17 eCollection Date: 2023-01-01 DOI:10.1093/nc/niad012
Angus Leung, Naotsugu Tsuchiya
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Abstract

Mediano et al. (The strength of weak integrated information theory. Trends Cogn Sci 2022;26: 646-55.) separate out strong and weak flavours of the integrated information theory (IIT) of consciousness. They describe 'strong IIT' as attempting to derive a universal formula for consciousness and 'weak IIT' as searching for empirically measurable correlates of aspects of consciousness. We put forward that their overall notion of 'weak IIT' may be too weak. Rather, it should be separated out to distinguish 'aspirational-IIT', which aims to empirically test IIT by making trade-offs to its proposed measures, and 'IIT-inspired' approaches, which adopt high-level ideas of IIT while dropping the mathematical framework it reaches through its introspective, first-principles approach to consciousness.

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将弱综合信息理论分为启发式方法和期望式方法。
梅迪亚诺等人(弱综合信息理论的强度。Trends Cogn Sci 2022; 26: 646-55.)将意识的综合信息理论(IIT)分为强弱两种。他们将 "强综合信息理论 "描述为试图推导出意识的普遍公式,而将 "弱综合信息理论 "描述为寻找意识各方面的经验可测量相关性。我们认为,他们关于 "弱IIT "的整体概念可能过于薄弱。我们认为,应该将 "弱IIT "与 "IIT启发 "区分开来。"弱IIT "的目的是通过对其提出的测量方法进行权衡,对IIT进行实证检验。"IIT启发 "的方法采用了IIT的高层次思想,但放弃了IIT通过对意识的内省、第一原理方法所达到的数学框架。
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来源期刊
Neuroscience of Consciousness
Neuroscience of Consciousness Psychology-Clinical Psychology
CiteScore
6.90
自引率
2.40%
发文量
16
审稿时长
19 weeks
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