Foundations of Correlational Coherence-Based Computation (CCD)

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Authors: khushal khan khattak khan
Cited by: 0

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