ArticleProceedings. Mathematical, physical, and engineering sciences2021
Bayesian mechanics for stationary processes.
Article in Proceedings. Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- The Free Energy Principle and Free Markets.Entropy (Basel, Switzerland) · 2026Article
- Active Inference and Functional Parametrisation: Differential Flatness and Smooth Random Realisation.Entropy (Basel, Switzerland) · 2026Article
- The Embodied Hijack: when Pleistocene minds meet disembodied artificial intelligence.Frontiers in psychology · 2026Article
- A Rosetta Stone hypothesis for neurophenomenology: mathematical predictions from predictive processing.Neuroscience of consciousness · 2026Article
- Gradient-Free De Novo Learning.Entropy (Basel, Switzerland) · 2025Article
- Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle.Entropy (Basel, Switzerland) · 2025Article
- Temporal depth in a coherent self and in depersonalization: theoretical model.Frontiers in psychology · 2025Article
- Forced Friends: Why the Free Energy Principle Is Not the New Hamilton's Principle.Entropy (Basel, Switzerland) · 2024Review
- Analyzing asymmetry in brain hierarchies with a linear state-space model of resting-state fMRI data.Network neuroscience (Cambridge, Mass.) · 2024Article
- A Variational Synthesis of Evolutionary and Developmental Dynamics.Entropy (Basel, Switzerland) · 2023Article
- On Bayesian mechanics: a physics of and by beliefs.Interface focus · 2023Article
- Cell Decision Making through the Lens of Bayesian Learning.Entropy (Basel, Switzerland) · 2023Article
- Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems.Entropy (Basel, Switzerland) · 2022Article
- Epistemic Communities under Active Inference.Entropy (Basel, Switzerland) · 2022Article
- How particular is the physics of the free energy principle?Physics of life reviews · 2022Review
- Enactive-Dynamic Social Cognition and Active Inference.Frontiers in psychology · 2022Article
- Stochastic Chaos and Markov Blankets.Entropy (Basel, Switzerland) · 2021Article
- Memory and Markov Blankets.Entropy (Basel, Switzerland) · 2021Article
- Some Interesting Observations on the Free Energy Principle.Entropy (Basel, Switzerland) · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
This paper develops a Bayesian mechanics for adaptive systems. Firstly, we model the interface between a system and its environment with a Markov blanket. This affords conditions under which states internal to the blanket encode information about external states. Second, we introduce dynamics and represent adaptive systems as Markov blankets at steady state. This allows us to identify a wide class of systems whose internal states appear to infer external states, consistent with variational inference in Bayesian statistics and theoretical neuroscience. Finally, we partition the blanket into sensory and active states. It follows that active states can be seen as performing active inference and well-known forms of stochastic control (such as PID control), which are prominent formulations of adaptive behaviour in theoretical biology and engineering.
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Registered trials
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