CODES: The Chirality of Dynamic Emergent Systems (Introduction - High Level Framework)

1. Expanded CODES Framework (Empirical Studies + Theory) 🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Structured Resonance & Emergent Intelligence 🔹 Structured Resonance and the Nature of Intelligence Abstract CODES (Chirality of Dynamic Emergent Systems) is a unifying theoretical framework that reconciles physics, AI, and structured intelligence through resonance-based emergence. By redefining how systems self-organize across scales—from prime number distributions to cosmological structures to AI learning algorithms—CODES presents a falsifiable, predictive model of structured intelligence in nature. We introduce the concept of chirality-driven emergence, where systems naturally balance chaos and order through oscillatory intelligence fields. This model provides a novel resolution to contradictions in physics (general relativity vs. quantum mechanics), AI (optimization bottlenecks), and natural intelligence (self-organizing biological structures).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14822702
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
0.00
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article

CODES: The Chirality of Dynamic Emergent Systems (Introduction - High Level Framework)

Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
article

CODES: The Chirality of Dynamic Emergent Systems (Introduction - High Level Framework)

article en

Abstract

1. Expanded CODES Framework (Empirical Studies + Theory) 🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Structured Resonance & Emergent Intelligence 🔹 Structured Resonance and the Nature of Intelligence Abstract CODES (Chirality of Dynamic Emergent Systems) is a unifying theoretical framework that reconciles physics, AI, and structured intelligence through resonance-based emergence. By redefining how systems self-organize across scales—from prime number distributions to cosmological structures to AI learning algorithms—CODES presents a falsifiable, predictive model of structured intelligence in nature. We introduce the concept of chirality-driven emergence, where systems naturally balance chaos and order through oscillatory intelligence fields. This model provides a novel resolution to contradictions in physics (general relativity vs. quantum mechanics), AI (optimization bottlenecks), and natural intelligence (self-organizing biological structures).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Origins and Evolution of Life
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