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2017 | 38 (3) |

Article title

Just How Conservative Is Conservative Predictive Processing?

Content

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Languages of publication

Abstracts

EN
Predictive Processing (PP) framework construes perception and action (and perhaps other cognitive phenomena) as a matter of minimizing prediction error, i.e. the mismatch between the sensory input and sensory predictions generated by a hierarchically organized statistical model. There is a question of how PP fits into the debate between traditional, neurocentric and representation-heavy approaches in cognitive science and those approaches that see cognition as embodied, environmentally embedded, extended and (largely) representation-free. In the present paper, I aim to investigate and clarify the cognitivist or ‘conservative’ reading of PP. I argue that the conservative commitments of PP can be divided into three distinct categories: (1) representationalism, (2) inferentialism, and (3) internalism. I show how these commitments and their relations should be understood and argue for an interpretation of each that is both non-trivial and largely ecumenical towards the 4E literature. Conservative PP is as progressive as conservatism gets

Year

Volume

Physical description

Dates

published
2017

References

Document Type

Publication order reference

Identifiers

URI
http://hdl.handle.net/11089/24145

YADDA identifier

bwmeta1.element.hdl_11089_24145
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