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The paper explores the idea that information and entropy are two aspects of a unified structure called infotropy.

June 20, 2026Open Access

Infotropy: a candidate structural unification of information and entropy

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The thesis demonstrates structural unification of information and entropy, suggesting new interpretations of physical phenomena.

The paper explores the idea that information and entropy are two aspects of a unified structure called infotropy.
Utilized the Shannon–Boltzmann identity to connect information and entropy mathematically.
Conducted tests in a driven-dissipative φ⁴ regime to assess recoverable formation history from cost ledgers.
Performed pre-registered tests in a discrete substrate to confirm asymmetries in record formation.
In a specific regime, recovery from cost ledgers yielded approximately 0.001 bits versus 1.69 bits when genuine record-forming conditions were present.
The record achieved a margin of at least +1.03 bits over rival self-organization mechanisms.
The downstream effect was an increase of +0.162 bits, demonstrating a significant separation of information from cost.

Brett Westerlund (2026) studied this question.

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