Synthese 193 (2) (2016)

Authors
Paweł Gładziejewski
Polish Academy of Sciences
Abstract
According to the predictive coding theory of cognition , brains are predictive machines that use perception and action to minimize prediction error, i.e. the discrepancy between bottom–up, externally-generated sensory signals and top–down, internally-generated sensory predictions. Many consider PCT to have an explanatory scope that is unparalleled in contemporary cognitive science and see in it a framework that could potentially provide us with a unified account of cognition. It is also commonly assumed that PCT is a representational theory of sorts, in the sense that it postulates that our cognitive contact with the world is mediated by internal representations. However, the exact sense in which PCT is representational remains unclear; neither is it clear that it deserves such status—that is, whether it really invokes structures that are truly and nontrivially representational in nature. In the present article, I argue that the representational pretensions of PCT are completely justified. This is because the theory postulates cognitive structures—namely action-guiding, detachable, structural models that afford representational error detection—that play genuinely representational functions within the cognitive system.
Keywords Cartographic maps  Generative models  Job description challenge  Mental representation  Predictive coding  Structural representation
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Reprint years 2016
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DOI 10.1007/s11229-015-0762-9
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References found in this work BETA

The Predictive Mind.Jakob Hohwy - 2013 - Oxford University Press UK.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Cambridge University Press.

View all 35 references / Add more references

Citations of this work BETA

New Directions in Predictive Processing.Jakob Hohwy - 2020 - Mind and Language 35 (2):209-223.
Predictive Processing and the Representation Wars.Daniel Williams - 2018 - Minds and Machines 28 (1):141-172.

View all 69 citations / Add more citations

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