Minds and Machines 28 (1):141-172 (2018)

Dan Williams
Cambridge University
Clark has recently suggested that predictive processing advances a theory of neural function with the resources to put an ecumenical end to the “representation wars” of recent cognitive science. In this paper I defend and develop this suggestion. First, I broaden the representation wars to include three foundational challenges to representational cognitive science. Second, I articulate three features of predictive processing’s account of internal representation that distinguish it from more orthodox representationalist frameworks. Specifically, I argue that it posits a resemblance-based representational architecture with organism-relative contents that functions in the service of pragmatic success, not veridical representation. Finally, I argue that internal representation so understood is either impervious to the three anti-representationalist challenges I outline or can actively embrace them.
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DOI 10.1007/s11023-017-9441-6
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Vision.David Marr - 1982 - W. H. Freeman.

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Citations of this work BETA

Predictive Coding and Thought.Daniel Williams - 2020 - Synthese 197 (4):1749-1775.
Neural Representations Observed.Eric Thomson & Gualtiero Piccinini - 2018 - Minds and Machines 28 (1):191-235.

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