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Bayes, predictive processing, and the cognitive architecture of motor control
1Philosophy Department, Tulane University, Member Faculty, Tulane Brain Institute, United States.
Consciousness and Cognition
|November 9, 2021
Summary
Bayesian and predictive processing models suggest a continuous hierarchy in cognition. However, this study argues that distinct mental representations can break this predictive hierarchy, impacting cognitive architecture views.
Area of Science:
- Cognitive Science
- Computational Neuroscience
- Philosophy of Mind
Background:
- Bayesian and predictive processing models are increasingly popular in cognitive science.
- These models often feature hierarchical structures where higher levels predict lower-level sensory input.
- The implications of these models for overall cognitive architecture remain underexplored.
Purpose of the Study:
- To explore the implications of Bayesian and predictive processing models for cognitive architecture.
- To critically examine the assumption of a continuous hierarchy in perception, cognition, and action control.
- To investigate how distinct mental representations might affect hierarchical predictive processing.
Main Methods:
- Conceptual analysis of Bayesian and predictive processing models.
- Examination of hierarchical predictive coding principles.
- Focus on Bayesian approaches to motor control and mental representation formats.
Main Results:
- The view of a continuous hierarchy of perception, cognition, and action is not necessarily entailed by Bayesian/predictive processing frameworks.
- Bayesian approaches accommodate distinct formats of mental representation.
- Junctures between different mental representations can disrupt the transitivity of hierarchical prediction.
Conclusions:
- Cognitive architecture may not be a strictly continuous hierarchy as suggested by some interpretations of predictive processing.
- Distinct representational formats offer flexibility but can introduce breaks in predictive chains.
- Understanding these junctures is crucial for a comprehensive theory of cognitive architecture.
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