claim
active
claim:active-inference-has-no-random-or-stochastic-aspects-everything-changes-to-minimize-variational-free-energy-in-accord-with-hamilton-s-principle-of-least-actionActive inference has no random or stochastic aspects; everything changes to minimize variational free energy in accord with Hamilton's principle of least action.
Ontological claim about the deterministic nature of active inference agents in these simulations
Source paper
extracted_from(2017) · Karl Friston · Marco Lin · Chris Frith · Giovanni Pezzulo +2
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Concepts (1)
concept
- Neuronal dynamics conform to Hamilton's principle via free energy minimization; connects to physics.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Concise statement of the core hypothesis from Section 2.
- §2, expected free energy section.
- Any system that exists will appear to minimize free energy and therefore engage in active inference.claim0.855The reworked argument that free energy minimization is a corollary of existence, not a prerequisite.
- §3, after non-stationary results.
- Core claim of active inference stated in Section 2.
- Friston's key assertion resolving the tautology: existence implies free energy minimization, making inference inevitable.
- Sets the theoretical grounding in Section 2.
- The core process theory hypothesis set up in the paper.