The Free-Energy Principle¶
Friston, K. (2010). The Free-Energy Principle: A Unified Brain Theory?. Nature Reviews Neuroscience, 11(2), 127-138.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Discrepancy-Driven Correction
- The same shape governs scientific anomaly investigation (model prediction versus observed data; the gap is the residual; the action is model revision or controlled experiment), project variance analysis (baseline versus actual; the gap is the variance; corrective actions are scope cuts, resource shifts, schedule resets), quality control (specification versus measured dimension), coaching and skill correction (ideal performance versus observed performance), iterative argument repair (claimed conclusion versus what the premises license), and predictive processing in computational neuroscience, where the gap is the prediction error and the loop runs continuously and recursively at multiple timescales.
This sourcePredictive processing and active inference cast perception and action as prediction-error (gap) minimisation.
Supported in partVerified against the publisher's abstract
The abstract supports predictive processing as prediction-error minimisation, but does not state that the loop runs continuously, recursively, or at multiple timescales.
“agents minimize free energy by changing their predictions (perception) or by changing the predicted sensory inputs (action).”
- The same shape governs scientific anomaly investigation (model prediction versus observed data; the gap is the residual; the action is model revision or controlled experiment), project variance analysis (baseline versus actual; the gap is the variance; corrective actions are scope cuts, resource shifts, schedule resets), quality control (specification versus measured dimension), coaching and skill correction (ideal performance versus observed performance), iterative argument repair (claimed conclusion versus what the premises license), and predictive processing in computational neuroscience, where the gap is the prediction error and the loop runs continuously and recursively at multiple timescales.
- Foresight
- The prediction-error machinery of the cortex is, at the level of structure, populating the same future-anticipation role that strategic foresight populates at the institutional level, a reading developed by Clark (2013) and Friston (2010).
This sourceFree-energy formulation in which minimizing prediction error minimizes a bound on surprise, unifying perception, action, and learning as anticipatory inference. SUPPORTS the brain-as-prediction-machine claim (158).
Supported in partVerified against the publisher's abstract
Friston 2010's abstract frames free-energy minimisation as anticipatory inference in the brain; it says nothing about institutional foresight, so it supports only the neural half of the sentence.
“Surprise rests on predictions about sensations, which depend on an internal generative model of the world. Although surprise cannot be measured directly, a free-energy bound on surprise can be, suggesting that agents minimize free energy by changing their predictions (perception) or by changing the predicted sensory inputs (action).”
- The prediction-error machinery of the cortex is, at the level of structure, populating the same future-anticipation role that strategic foresight populates at the institutional level, a reading developed by Clark (2013) and Friston (2010).
- Markov Blanket
- In theoretical biology and the free-energy principle, living systems are modeled as constituted by the persistence of a blanket separating internal from external states, mediated by sensory and active states; whatever one makes of the metaphysics, the operational partition into internal, blanket, and external has been generative for biology, neuroscience, and theoretical AI.
This sourceModels living systems as constituted by a Markov blanket separating internal from external states via sensory and active states.
- In theoretical biology and the free-energy principle, living systems are modeled as constituted by the persistence of a blanket separating internal from external states, mediated by sensory and active states; whatever one makes of the metaphysics, the operational partition into internal, blanket, and external has been generative for biology, neuroscience, and theoretical AI.
- Predictive Coding
- Friston's (2010) free-energy formulation pushes this further: a system that minimizes prediction error over time is, under stated assumptions, minimizing a bound on its own surprise and thereby maintaining itself against a disordering environment.
This sourceFree-energy formulation in which a system that minimizes prediction error minimizes a bound on its own surprise and thereby maintains itself; supports the precision-weighting account that unifies hallucination, neglect, perseveration, and over-fitting as one parameter set wrongly, and the transfer of optimal-gain intuitions to attention.
Supported in partVerified against the publisher's abstract
The abstract states a free-energy bound on surprise and minimization of free energy, but it does not state the claim's prediction-error-over-time or self-maintenance clauses.
“Although surprise cannot be measured directly, a free-energy bound on surprise can be, suggesting that agents minimize free energy by changing their predictions (perception) or by changing the predicted sensory inputs (action).”
- Friston's (2010) free-energy formulation pushes this further: a system that minimizes prediction error over time is, under stated assumptions, minimizing a bound on its own surprise and thereby maintaining itself against a disordering environment.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 3 of 4 citations: 3 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:53079ca9b119 · see in the full table