{"id":3016,"date":"2026-05-15T00:36:31","date_gmt":"2026-05-15T00:36:31","guid":{"rendered":"https:\/\/coherencegeometry.com\/?p=3016"},"modified":"2026-05-15T09:45:34","modified_gmt":"2026-05-15T09:45:34","slug":"emergent-intelligence-from-coherence-driven-dynamics-archival-submission-packages","status":"publish","type":"post","link":"https:\/\/coherencegeometry.com\/index.php\/2026\/05\/15\/emergent-intelligence-from-coherence-driven-dynamics-archival-submission-packages\/","title":{"rendered":"Emergent Intelligence from Coherence-Driven Dynamics: Archival Submission Packages"},"content":{"rendered":"\n

Internal ID:<\/strong> CGI-RSR-000017
Document Type:<\/strong> Archival Preprint Submission Package \/ Computational Study
Publication Date:<\/strong> May 2026
Original Creation Date:<\/strong> Feb-March 2025
Status:<\/strong> Public archival release
License: <\/strong>CC BY-NC-ND 4.0
Domains:<\/strong> Information & Computation
Research Topics:<\/strong> Emergent Intelligence, Coherence-Driven Intelligence, Artificial Intelligence<\/p>\n\n\n\n

Abstract<\/h3>\n\n\n\n

This archival package preserves the original Nature-format and PNAS-format submission materials for the Emergent Intelligence \/ Coherence-Driven Intelligence research program.<\/p>\n\n\n\n

The manuscripts report a computational demonstration in which structured classification-like behavior emerges from coherence-driven refinement within a constrained medium, without conventional supervised training, explicit feature extraction, or weight-based optimization.<\/p>\n\n\n\n

Available Document<\/h3>\n\n\n\n

DOI:<\/strong> 10.5281\/zenodo.20191577<\/code><\/p>\n\n\n\n

Citation:<\/strong>
Petersen, B. L. (2026). Emergent Intelligence from Coherence-Driven Dynamics: Archival Submission Packages. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.20191577<\/a><\/p>\n\n\n\n

Source Code and Supporting Materials<\/h3>\n\n\n\n

The full computational notebook and GPU implementation are internal research artifacts of the Coherence Geometry Institute. They are not included in this release and are not packaged as public software.<\/p>\n\n\n\n

The manuscripts provide the conceptual method, experimental design, selected outputs, and observed results. Access to additional computational materials may be considered only by formal arrangement. No public technical support is implied.<\/p>\n\n\n\n

Summary and Notes<\/h3>\n\n\n\n

This work is historically important within the Coherence Geometry research program. It predates the formal creation of the Coherence Geometry Institute and the later domain-specific CG research corpus. The Nature supplementary information already identified coherence-driven emergence as a possible cross-domain principle connecting computation, cosmology, biology, social and economic systems, ecosystems, and climate.<\/p>\n\n\n\n

In retrospect, this submission marks one of the earliest public-form documents in which the broader Coherence Geometry program became visible: intelligence was framed not only as an engineered capacity, but as a natural consequence of coherence reinforcement under constraint.<\/p>\n\n\n\n

Related Work<\/h3>\n\n\n\n

Is supplemented by \/ Is related to:
Coherence Geometry Foundations, Part I<\/a>
Coherence Geometry Foundations, Part II<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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