Generative models as parsimonious descriptions of sensorimotor loops
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Abstract (arXiv)
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.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2019.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 4; 2024: 2; 2025: 1.
11 papers.
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- 2024Monotonic Representation of Numeric Properties in Language Modelscited by 15
- 2023Hierarchical generative modelling for autonomous robotscited by 9
- 2024Dissociating Artificial Intelligence from Artificial Consciousnesscited by 7
- 2021Habitual and Reflective Control in Hierarchical Predictive Codingcited by 3
- 2025AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretabilitycited by 3
- 2023Rejecting Cognitivism: Computational Phenomenology for Deep Learningcited by 2
- 2021A brain basis of dynamical intelligence for AI and computational neurosciencecited by 1
- 2023The Representational Status of Deep Learning Modelscited by 1
- 2022Turing's cascade instability supports the coordination of the mind, brain, and behaviorcited by 0
- 2025AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability6 Apr 2025
- 2024Dissociating Artificial Intelligence from Artificial Consciousness5 Dec 2024
- 2024Monotonic Representation of Numeric Properties in Language Models15 Mar 2024
- 2023Getting aligned on representational alignment18 Oct 2023
- 2023Hierarchical generative modelling for autonomous robots15 Aug 2023
- 2023The Representational Status of Deep Learning Models21 Mar 2023
- 2023Rejecting Cognitivism: Computational Phenomenology for Deep Learning16 Feb 2023
- 2022Turing's cascade instability supports the coordination of the mind, brain, and behavior17 Apr 2022
- 2022pymdp: A Python library for active inference in discrete state spaces11 Jan 2022
- 2021Habitual and Reflective Control in Hierarchical Predictive Coding2 Sep 2021
- 2021A brain basis of dynamical intelligence for AI and computational neuroscience15 May 2021