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

被引:0
作者
Jelle Bruineberg
Julian Kiverstein
Erik Rietveld
机构
[1] University of Amsterdam,Institute for Logic, Language and Computation (ILLC)
[2] University of Amsterdam,Amsterdam Medical Centre, Department of Psychiatry
[3] University of Amsterdam,AMC/Dept. of Philosophy/ILLC /Amsterdam Brain and Cognition
来源
Synthese | 2018年 / 195卷
关键词
Free-energy principle; Predictive-coding; Skilled intentionality; Affordances; Enaction; Active inference; Action-readiness; Metastability;
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学科分类号
摘要
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.
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页码:2417 / 2444
页数:27
相关论文
共 72 条
[1]  
Anderson ML(2013)The problem with brain GUTs: Conflation of different senses of “prediction” threatens metaphysical disaster Behavioral and Brain Sciences 36 204-205
[2]  
Chemero T(2013)Information and metabolism in bacterial chemotaxis Entropy 15 311-326
[3]  
Auletta G(1991)Intelligence without representation Artificial Intelligence 47 139-159
[4]  
Brooks R(2014)Self-organization, free energy minimization, and optimal grip on a field of affordances Frontiers in Human Neuroscience 8 599-204
[5]  
Bruineberg J(2013)Whatever next? Predictive brains, situated agents, and the future of cognitive science Behavioral and Brain Sciences 36 181-27
[6]  
Rietveld E(2015)Radical predictive processing The Southern Journal of Philosophy 53 3-195
[7]  
Clark A(2004)From Darwin to Watson (and Cognitivism) and back again: The principle of animal-environment mutuality Behavior and Philosophy 32 179-452
[8]  
Clark A(2005)Autopoiesis, adaptivity, teleology, agency Phenomenology and the Cognitive Sciences 4 429-123
[9]  
Costall A(2005)A new perspective on representational problems Journal of Cognitive Science 6 97-716
[10]  
Di Paolo EA(2001)Dynamic predictions: Oscillations and synchrony in top-down processing Nature Reviews Neuroscience 2 704-150