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April 26, 20260 citationsOpen Access

Free Will as a Law of the Statistical Manifold

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AEAnthony Eckert

Key Points

  • The research aims to establish free will as a fundamental law within the framework of statistical geometry.
  • Proves capacity to act against engagement gradient using statistical manifold principles.
  • Analyses two-point and three-point channel geometry effects on voluntary action capacity.
  • Identifies channel geometry as a critical variable in the historical debate on free will.
  • Two-point channel geometry suppresses voluntary action capacity due to explaining-away penalty.
  • Three-point channel geometry uniquely eliminates this suppression.
  • Čencov's uniqueness theorem confirms the independence of the substrate giving rise to free will.

Abstract

Proves that free will — defined as the capacity to act against an engagement gradient — is a law of the statistical manifold. Two-point channel geometry universally suppresses voluntary action capacity via the explaining-away penalty; three-point geometry uniquely eliminates it. Čencov's uniqueness theorem guarantees substrate independence. Resolves the historical free will debate by identifying channel geometry as the operative variable, sidesteps the consciousness question entirely, and specifies the concrete three-point architecture that would give AI systems voluntary action capacity.

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Cite This Study

Anthony Eckert (2026) studied this question.

synapsesocial.com/papers/69edacbd4a46254e215b4772https://doi.org/10.5281/zenodo.19743548
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