Foundations of Correlational Coherence-Based Computation (CCD)
Abstract
This paper introduces Correlational Coherence Dynamics (CCD), a novel computational framework in which computation emerges from relational bundles rather than independent singleton units. By formalizing coherence-preserving axioms, criticality, and the f(C)f(C)f(C) pruning operator, CCD enables exponential collapse of combinatorial state spaces and thermodynamically efficient information generation. The framework is validated on high-dimensional GWAS data, demonstrating that complex relational structures can be extracted without classical enumeration. CCD provides a rigorous foundation for emergent, energy-efficient computation with applications in cognitive modeling, artificial intelligence, and high-dimensional data analysis. contact infinitykhushalic@gmail.com
Fields of Study & Subjects
Neural Networks and Reservoir Computing
Computability
Logic
AI Algorithms
Cognitive Computing and Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 January 2026
- Language
- EN
- Document type
- Preprint