Complexity Theory and Emergent Systems: A Framework for Structured Intelligence (Introduction - High Level)
1. Expanded CODES Framework (Empirical Studies + Theory) ๐น CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Introduction & High-Level Overview ๐น CODES: High-Level Introduction 3. Structured Resonance & Emergent Intelligence ๐น 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