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July 5, 20260 citationsOpen Access

Harmonic Intelligence and Information Encoding

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VSVien Nguyen SonSCSumit Chakravarty

Key Points

  • This paper aims to define coherence-conditioned information encoding as a phenomenon dependent on structured correlations in dissipative systems.
  • Proposes a theoretical model addressing coherence-conditioned information encoding under dissipative coarse-graining.
  • Introduces a predicate structure, Enc_𝒟(Y), to evaluate candidate structured correlations based on defined domain criteria.
  • Categorizes various regimes of information encoding and retention in physical and computational frameworks.
  • Establishes criteria for a correlation to qualify as encoding, focusing on retention, support, and admissibility.
  • Classifies information regimes into encoding-admissible, partially retained, intermittent, and inadmissible.
  • Introduces a coherence-support order parameter, Ω_𝒟, to assess the sustainability of structured correlations after disturbances.

Abstract

This revised theoretical preprint defines coherence-conditioned information encoding as the admissible retention of structured correlations under dissipative coarse-graining within a declared effective domain. It follows the development of phase coherence as an order parameter in coupled dissipative systems and introduces the additional predicate required for structured correlations to qualify as information encoding at the effective level. The paper treats information encoding as a domain-relative regime property. A candidate structured correlation qualifies as encoding only when retained correlation, coherence support, retention timescale, and domain admissibility are jointly satisfied. The resulting condition is formalized through the predicate Enc_𝒟 (Y), where Y denotes a candidate correlation-bearing structure and 𝒟 denotes the declared domain of evaluation. Within this framework, Ω_𝒟 functions as a coherence-support order parameter inherited from the dissipative synchronization layer. Its role is to classify whether the effective regime can sustain retained structured correlation after dissipation, perturbation, and reduction. The paper distinguishes encoding-admissible regimes, partially retained or fragmented regimes, intermittent encoding regimes, and encoding-inadmissible regimes. The analysis is diagnostic and classificatory. It provides a constrained framework for evaluating information persistence across physical, biological, neural, informational, and computational systems while preserving domain-specific thresholds, variables, reduction procedures, and admissibility conditions. It thereby supplies the information-encoding layer between dissipative synchronization and later analyses of coherence-conditioned temporal structure.

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Cite This Study

Son et al. (2026) studied this question.

synapsesocial.com/papers/6a49f5d7f5d1d45b28800744https://doi.org/10.5281/zenodo.21166396
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