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Getting the World Right: Perceptual Accuracy and the Role of the Perceiver in Predictive Processing Models

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Predictive processing is often presented as a unifying framework for perception, action, and cognition, being able to explain most (if not all) mental phenomena (Hohwy, 2013; Clark, 2016): with regard to perception, the brain harbours a generative model issuing top-down expectations that are matched against bottom-up sensory feedback. Mismatches lead to error messages and model updates until the brain is 'getting it right'. The core notion of prediction error minimization commits the framework to a specification of accuracy conditions. We therefore turn to issues related to the determination of satisfaction (or accuracy) conditions discussed in the philosophy of perception. In particular, we rely on work by Recanati (2007) who shows that the accuracy conditions of perceptual content are partly determined by the intentional mode and the perceiver (or self). It is important to notice that the self can enter the specification of accuracy conditions in two ways, namely as subject or as object. Even if we do not perceive ourselves explicitly as an object, we always implicitly represent ourselves as subject. We discuss whether and how these two ways of self-representation can be respected in the predictive processing framework
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Document Type: Research Article

Affiliations: 1: Ruhr-University Bochum, Universit√§tsstraβe 150, 44801 Bochum, Germany., Email: [email protected] 2: Email: [email protected]

Publication date: January 1, 2019

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