The Universe as a Self-Learning Relational Network: Analogies between the Discrete Gravitational Ontology and Artificial Neural Systems

This working paper is part of the author’s ongoing exploration of the Discrete Gravitational Ontology (DGO). It also serves as structured documentation and study material, supporting the iterative development of the framework and inviting cross-disciplinary feedback.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-22
DOI
https://doi.org/10.5281/zenodo.17417087
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
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article

The Universe as a Self-Learning Relational Network: Analogies between the Discrete Gravitational Ontology and Artificial Neural Systems

Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
article

The Universe as a Self-Learning Relational Network: Analogies between the Discrete Gravitational Ontology and Artificial Neural Systems

article en

Abstract

This working paper is part of the author’s ongoing exploration of the Discrete Gravitational Ontology (DGO). It also serves as structured documentation and study material, supporting the iterative development of the framework and inviting cross-disciplinary feedback.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Statistical Mechanics and Entropy
DOIOpen Access PDFOpenAlex
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The Universe as a Self-Learning Relational Network: Analogies between the Discrete Gravitational Ontology and Artificial Neural Systems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS