Integrating Bayesian analysis and mechanistic theories in grounded cognition

Behavioral and Brain Sciences 34 (4):191-192 (2011)
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Abstract

Grounded cognition offers a natural approach for integrating Bayesian accounts of optimality with mechanistic accounts of cognition, the brain, the body, the physical environment, and the social environment. The constructs of simulator and situated conceptualization illustrate how Bayesian priors and likelihoods arise naturally in grounded mechanisms to predict and control situated action

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Citations of this work

The Liar Paradox in the predictive mind.Christian Michel - 2019 - Pragmatics Cognition 26 (2-3):239-266.
The Liar Paradox in the predictive mind.Christian Michel - 2019 - Pragmatics and Cognition 26 (2-3):239-266.
The Liar Paradox in the predictive mind.Christian Michel - 2019 - Pragmatics and Cognition 26 (2-3):239-266.

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