View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PhilSci Archive Being Realist about Bayes, and the Predictive Processing Theory of Mind Matteo Colombo∗ Lee Elkiny Stephan Hartmannz July 19, 2018 Forthcoming in The British Journal for the Philosophy of Science Abstract Some naturalistic philosophers of mind subscribing to the predictive processing theory of mind have adopted a realist attitude towards the results of Bayesian cognitive science. In this paper, we argue that this realist attitude is unwarranted. The Bayesian research program in cognitive science does not possess special epistemic virtues over alternative approaches for explaining mental phenomena involving uncertainty. In particular, the Bayesian approach is not simpler, more unifying, or more rational than alternatives. It is also contentious that the Bayesian approach is overall better supported by the empirical evidence. So, to develop philosophical theories of mind on the basis of a realist interpretation of results from Bayesian cognitive science is unwarranted. Naturalistic philosophers of mind should instead adopt an anti-realist attitude towards these results and remain agnostic as to whether Bayesian models are true. For continuing on with an exclusive focus and praise of Bayes within debates about the predictive processing theory will impede progress in philosophical understanding of scientific practice in computational cognitive science as well as of the architecture of the mind. Keywords: Bayesian cognitive science, predictive processing, representing uncertainty, naturalistic philosophy of mind, scientific realism, underdetermination thesis 1. Introduction 2. From Uncertainty to Bayesian Brains ∗Tilburg Center for Logic, Ethics, and Philosophy of Science, Tilburg University, 5037 AB Tilburg (The Netherlands) – https://mteocolphi.wordpress.com –
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