Complexity Theory and Emergent Systems: A Framework for Structured Intelligence (Introduction - High Level)

1. Expanded CODES Framework (Empirical Studies + Theory) ๐Ÿ”น CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Introduction & High-Level Overview ๐Ÿ”น CODES: High-Level Introduction 3. Structured Resonance & Emergent Intelligence ๐Ÿ”น Structured Resonance and the Nature of Intelligence Abstract Emergent systems arise from the interactions of simple components, forming complex behaviors and structures without centralized control. While emergence is a cornerstone of complexity theory, current models struggle to predict or engineer structured emergence. This paper introduces a chirality-based structured emergence framework, reconciling complexity science with wavelet-driven analysis. The theory suggests that structured resonance, rather than stochastic interactions, governs emergent intelligence in physical, biological, and computational systems. We present a unifying mathematical approach integrating prime distributions, adaptive wavelets, and network topology, offering practical applications for AI, cosmology, and economic modeling.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-06
DOI
https://doi.org/10.5281/zenodo.14820498
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
0.00
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article

Complexity Theory and Emergent Systems: A Framework for Structured Intelligence (Introduction - High Level)

Zenodo (CERN European Organization for Nuclear Research)
stochastic dynamics and bifurcation
article

Complexity Theory and Emergent Systems: A Framework for Structured Intelligence (Introduction - High Level)

article en

Abstract

1. Expanded CODES Framework (Empirical Studies + Theory) ๐Ÿ”น CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Introduction & High-Level Overview ๐Ÿ”น CODES: High-Level Introduction 3. Structured Resonance & Emergent Intelligence ๐Ÿ”น Structured Resonance and the Nature of Intelligence Abstract Emergent systems arise from the interactions of simple components, forming complex behaviors and structures without centralized control. While emergence is a cornerstone of complexity theory, current models struggle to predict or engineer structured emergence. This paper introduces a chirality-based structured emergence framework, reconciling complexity science with wavelet-driven analysis. The theory suggests that structured resonance, rather than stochastic interactions, governs emergent intelligence in physical, biological, and computational systems. We present a unifying mathematical approach integrating prime distributions, adaptive wavelets, and network topology, offering practical applications for AI, cosmology, and economic modeling.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 62%
stochastic dynamics and bifurcation
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