Coherence, deviation, and recovery are treated as measurable properties of dynamic systems. This page describes the model — what it assumes and what it produces.
"Physics" here does not refer to particle models or cosmology. It refers to the study of constraints, invariants, and dynamics that govern system behavior across domains.
We apply physical reasoning — not as metaphor, but as operational methodology.
These principles are not borrowed analogies. They are applied directly as operational physics to systems that exhibit phase-like behavior.
Markets, networks, organizations, biological processes — any system with phase-like dynamics can be analyzed through this framework.
The model operates on these measurable quantities:
The degree to which components are aligned and mutually reinforcing. High coherence indicates stability.
Measurable drift from expected state. Deviation is diagnostic — patterns reveal structural vulnerabilities.
Distinct operational modes. Phase transitions are critical events the framework detects and characterizes.
Capacity to maintain coherence under perturbation. Not rigidity — the ability to absorb disturbance.
The path and rate by which a system returns to coherence. Recovery dynamics reveal resilience or fragility.
"Entropy is the default state. Coherence requires energy and architecture."
— ZOA Industries
ZOA Industries maintains a formal internal ontology to describe systems, processes, and states in a way that is consistent across domains.
Unlike taxonomies or schemas that enumerate concepts, this ontology is designed to support physical interpretation — encoding how components relate, evolve, and deviate over time.
By separating structure from behavior, the ontology allows physical dynamics — coherence, instability, and recovery — to be layered on top without redefining the underlying system.
This separation is foundational to ZOA's research and tooling, including Flow Telemetry and phase-based diagnostics.
All systems are analyzed against a unified internal ontology.
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