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预期大脑并非科学家:从生态-生成视角看自由能原理

The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective.

作者信息

Bruineberg Jelle, Kiverstein Julian, Rietveld Erik

机构信息

1Institute for Logic, Language and Computation (ILLC), University of Amsterdam, Oude Turfmarkt 141, 1012 GC Amsterdam, Netherlands.

2Amsterdam Medical Centre, Department of Psychiatry, University of Amsterdam, 22660, 1100 DD Amsterdam, Netherlands.

出版信息

Synthese. 2018;195(6):2417-2444. doi: 10.1007/s11229-016-1239-1. Epub 2016 Oct 21.

Abstract

In this paper, we argue for a theoretical separation of the free-energy principle from Helmholtzian accounts of the predictive brain. The free-energy principle is a theoretical framework capturing the imperative for biological self-organization in information-theoretic terms. The free-energy principle has typically been connected with a Bayesian theory of predictive coding, and the latter is often taken to support a Helmholtzian theory of perception as unconscious inference. If our interpretation is right, however, a Helmholtzian view of perception is incompatible with Bayesian predictive coding under the free-energy principle. We argue that the free energy principle and the ecological and enactive approach to mind and life make for a much happier marriage of ideas. We make our argument based on three points. First we argue that the free energy principle applies to the whole animal-environment system, and not only to the brain. Second, we show that active inference, as understood by the free-energy principle, is incompatible with unconscious inference understood as analagous to scientific hypothesis-testing, the main tenet of a Helmholtzian view of perception. Third, we argue that the notion of inference at work in Bayesian predictive coding under the free-energy principle is too weak to support a Helmholtzian theory of perception. Taken together these points imply that the free energy principle is best understood in ecological and enactive terms set out in this paper.

摘要

在本文中,我们主张将自由能原理与关于预测性大脑的亥姆霍兹理论在理论上区分开来。自由能原理是一个理论框架,它从信息论的角度阐述了生物自组织的必要性。自由能原理通常与预测编码的贝叶斯理论相关联,而后者常被用来支持一种将感知视为无意识推理的亥姆霍兹感知理论。然而,如果我们的解释正确,那么在自由能原理下,亥姆霍兹式的感知观点与贝叶斯预测编码是不相容的。我们认为,自由能原理与心智和生命的生态及生成进路构成了更为契合的思想结合。我们基于三点来阐述我们的观点。首先,我们认为自由能原理适用于整个动物 - 环境系统,而不仅仅适用于大脑。其次,我们表明,按照自由能原理所理解的主动推理,与被理解为类似于科学假设检验(这是亥姆霍兹式感知观点的主要信条)的无意识推理是不相容的。第三,我们认为在自由能原理下的贝叶斯预测编码中起作用的推理概念过于薄弱,不足以支持亥姆霍兹式的感知理论。综合这些观点意味着,自由能原理最好从本文阐述的生态和生成角度来理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3530/6438652/dd304256583e/11229_2016_1239_Fig1_HTML.jpg

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