Generative models as parsimonious descriptions of sensorimotor loops

Abstract

The Bayesian brain hypothesis, predictive processing and variational free energy minimisation are typically used to describe perceptual processes based on accurate generative models of the world. However, generative models need not be veridical representations of the environment. We suggest that they can (and should) be used to describe sensorimotor relationships relevant for behaviour rather than precise accounts of the world.

arXiv commentCommentary on Brette (2019) https://doi.org/10.1017/S0140525X19000049

References in corpus (2)

• Semantic information, autonomous agency, and nonequilibrium statistical physics
• An active inference implementation of phototaxis

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