Coherence Mapping

ΔCoherence Mapping — A model for pattern, perception, and persistence. For licensing contact: [email protected]

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What Is Coherence Mapping?

A diagnostic model for pattern, perception, and persistence.

Coherence Mapping is a symbolic systems framework developed to measure and restore structural integrity across cognition, language, institutions, and AI. Built on the Coherence Equation:

C = (R × P × S) / E

—it evaluates how Recursion, Pattern, and Signal interact under Entropy to determine the coherence of any system, from thought to infrastructure.

This project is designed for:

Systems thinkers seeking clarity in complexity

AI architects working with symbolic compression and interpretability

Educators and institutional designers navigating cognitive overload and fragmentation

Strategic operators aiming to align structure, meaning, and action

Coherence Mapping is not a metaphor.

It is a recursive toolset for tracking where things fall apart—and how to bring them back into alignment.

Written and maintained by Anthony B. Chapman, this blog explores the recursive foundations and applied systems of Coherence Mapping across symbolic, cognitive, and noospheric domains.

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Developers & Systems Thinkers — Read This:

Recursive Symbolic Interfaces aren’t sci-fi—they’re schema.

Just released: a working YAML specification for implementing coherence tracking in AI systems.

Built from the Coherence Mapping framework, this schema introduces:

✅ Real-time recursive alignment tracking

✅ ΔC (coherence modulation) & CLI (coherence load) diagnostics

✅ A structural method to prevent symbolic drift and hallucination

✅ A full programmable model for AI–human symbolic interface design

🔗 Read the article on Medium:

Recursive Symbolic Interface (RSI): YAML Schema for AI Coherence Tracking

This is for builders, architects, and theorists designing next-gen LLM interfaces and symbolic stability protocols.

We don’t need to guess at alignment—we can track it.

Coherence isn’t just a metaphor. It’s infrastructure.

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Coherence Mapping:

A Model for Pattern, Perception, and Persistence

by Anthony B. Chapman

What if coherence could be defined, diagnosed, and designed—across systems, cognition, and culture?

In a world where signal is drowned by noise and complexity outpaces understanding,

Coherence Mapping offers a practical, recursive model for restoring structural integrity to thought and action.

Built on the Coherence Equation —

C = (R · P · S) / E

—this framework shows how Recursion, Pattern, and Signal interact under Entropy to determine the coherence of any symbolic system.

This book gives you tools to:

✅ Diagnose systemic incoherence across domains

✅ Track symbolic compression, attention drift, and entropy

✅ Align architecture, meaning, and decision-making

✅ Apply recursive clarity in fast-changing environments

Whether you're a systems thinker, AI architect, educator, or strategist,

Coherence Mapping delivers a high-utility diagnostic

for anyone working at the edge of complexity.

This is not a metaphor.

It’s a framework you can use.

Buy Coherence Mapping on Amazon