Coherence
Dynamics
Theory
Camilo Zambrano — Coherence Dynamics Theory is a documented framework for drift, coherence, and directional stability across adaptive systems. This site is its canonical public overview.
Provenance
About this theory
Coherence Dynamics Theory (CDT) is a documented framework for understanding drift, coherence, and directional stability across adaptive systems.
This page is meant to make the theory legible and easy to verify. If you are looking for the underlying theory behind drift and coherence in this framework, start here.
The Problem
Every adaptive system faces the same challenge.
From immune systems to relationships, from organizational culture to economic markets — adaptive systems across all scales deal with the same pull: drift is constant, correction is costly, and most systems lack a domain-general account of how directional stability is maintained at all.
Existing theories illuminate pieces — cybernetics, resilience science, complex systems — but none address directional stability as the primary question. CDT fills that gap.
"How do you maintain a consistent direction when drift is inevitable?"
The central question CDT was built to answer
Definitions
In CDT, drift and coherence are defined as system properties. They describe what adaptive systems do under pressure, variability, and correction.
Drift
Directional deviation inside an adaptive system.
In CDT, drift is the tendency of a system to move away from coherent direction under variability, pressure, noise, and accumulated perturbation. It is structural, continuous, and not a moral verdict.
Read the drift concept pageCoherence
Directional continuity maintained through repeated correction.
In CDT, coherence is not static equilibrium. It is the condition in which an adaptive system preserves directional stability by detecting deviation, activating correction, and restoring alignment over time.
Read the coherence concept pageDirectional Stability
Continued orientation despite ongoing perturbation.
In CDT, directional stability is the central problem. It names a system's ability to preserve a coherent trajectory even when drift is constant and correction is costly.
See the whitepaper treatment"Drift is not a failure. It is a force. The question has never been how to stop it — only how fast you can move through it."
Coherence Dynamics Theory — Core Premise
What CDT Adds
CDT vs. Cybernetics
Cybernetics maintains values around fixed setpoints. CDT maintains directional patterns over time, not static equilibria.
CDT vs. Resilience Theory
Resilience theory asks whether a system can maintain function after disturbance. CDT asks whether a system can maintain directional continuity.
CDT vs. Complex Systems
Complex systems theory describes emergence. CDT focuses specifically on how systems preserve directional coherence through drift-correction dynamics.
Read Further
Start with the part of the framework you need.
The homepage gives the conceptual orientation. The deeper structure of CDT is spread across dedicated concept pages, the FAQ, the quick overview, and the whitepaper.
Drift
A focused definition of drift as structural directional deviation in adaptive systems.
Open driftCoherence
A focused definition of coherence as maintained direction through repeated correction.
Open coherenceTL;DR
A compressed walkthrough of the constructs, principles, distinctions, and domains.
Open the quick overviewWhitepaper
The full formal document with definitions, principles, heuristics, and case treatment.
Download the whitepaperDownstream applications
Where the framework is applied
CDT is the theory layer. These projects translate or apply parts of the framework in specific domains.
Individual Self-Governance
Adaptable Discipline
CDT translated into a practical framework for return after drift in individual systems. Adaptable Discipline focuses on comeback speed, self-regulation, and designing conditions that make return easier over time.
Explore Adaptable DisciplineTeams & Organizations
Adaptable Organizations
CDT applied to teams and institutions. Organizational drift channels, return capacity, and coherence propagation mapped to collective systems.
Explore Adaptable Organizations