Predictive coding and thought.

Predictive processing has recently been advanced as a global cognitive architecture for the brain. I argue that its commitments concerning the nature and format of cognitive representation are inadequate to account for two basic characteristics of conceptual thought: first, its generality—the fact t...

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Detalles Bibliográficos
Publicado en:Synthese Vol. 197; no. 4; pp. 1749 - 1776
Autor principal: Williams, Daniel
Formato: Artículo
Publicado: Springer Nature Apr2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Predictive coding and thought.
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        au: Williams, Daniel
        affil:
          Faculty of Philosophy, Trinity Hall, University of Cambridge, Wychfield Site, Storeys Way, CB3 0DZ, Cambridge, UK
          Cognition and Philosophy Laboratory, Monash University, Clayton, Australia
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        Mental representation
        Probabilistic generative models
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          Mental representation
          Probabilistic generative models
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        Bayesian brain
        Concepts
        Free-energy principle
        Hierarchical probabilistic generative model
        Higher cognition
        Predictive coding
        Predictive processing
        Probabilistic graphical model
        Thought
      ab: Predictive processing has recently been advanced as a global cognitive architecture for the brain. I argue that its commitments concerning the nature and format of cognitive representation are inadequate to account for two basic characteristics of conceptual thought: first, its generality—the fact that we can think and flexibly reason about phenomena at any level of spatial and temporal scale and abstraction; second, its rich compositionality—the specific way in which concepts productively combine to yield our thoughts. I consider two strategies for avoiding these objections and I argue that both confront formidable challenges.
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    language: English
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