A Recursive Symbolic Field Ontology for Computable Identity, Entropy, and Meaning

Traditional models of cognition and information rely on statistical entropy, observer-independent logic, and memory systems governed by weight matrices or reinforcement rules. ELIAN pro- poses an alternative: identity and meaning emerge from recursive symbolic fields shaped by observer intent and phase-aware feedback.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15725596
Primary Topic
Demographic Trends and Gender Preferences
Type
article
Field-Weighted Citation Impact
0.00
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article

A Recursive Symbolic Field Ontology for Computable Identity, Entropy, and Meaning

Zenodo (CERN European Organization for Nuclear Research)
Demographic Trends and Gender Preferences
article

A Recursive Symbolic Field Ontology for Computable Identity, Entropy, and Meaning

article en

Abstract

Traditional models of cognition and information rely on statistical entropy, observer-independent logic, and memory systems governed by weight matrices or reinforcement rules. ELIAN pro- poses an alternative: identity and meaning emerge from recursive symbolic fields shaped by observer intent and phase-aware feedback.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
Demographic Trends and Gender Preferences
DOIOpen Access PDFOpenAlex
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A Recursive Symbolic Field Ontology for Computable Identity, Entropy, and Meaning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS