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Prospection does not imply predictive processing.

Piotr Litwin1,2, Marcin Miłkowski2

  • 1Faculty of Psychology, University of Warsaw, 00-189Warszawa, Poland. piotr.litwin@psych.uw.edu.pl.

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Summary

Predictive processing models struggle to explain abstract thought in psychopathology. Current models lack the representational ontology needed to bridge subjective and informational uncertainty.

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Area of Science:

  • Cognitive Neuroscience
  • Philosophy of Mind
  • Psychopathology

Background:

  • Predictive processing models are influential in understanding psychopathology.
  • These models often rely on latent variables to represent world structure.
  • Current accounts face challenges integrating abstract thought processes.

Purpose of the Study:

  • To evaluate the explanatory consistency of predictive processing models with abstract thought.
  • To identify limitations in current models regarding representational ontology.
  • To clarify the relationship between subjective and informational uncertainty.

Main Methods:

  • Conceptual analysis of predictive processing frameworks.
  • Examination of representational ontology in cognitive science.
  • Comparison of subjective uncertainty with informational uncertainty.

Main Results:

  • Predictive processing models lack explanatory power for abstract thought.
  • These models are insufficient for incorporating mental objects and states.
  • A terminological overlap exists between subjective and informational uncertainty.

Conclusions:

  • Predictive processing models require revision to account for abstract thought.
  • A representational ontology is crucial for a comprehensive understanding of cognition.
  • The distinction between subjective and informational uncertainty warrants further investigation.