Doctrine Library
The canonical principles, laws, and frameworks that govern identity engineering in the age of AI.
Each doctrine represents a rigorous exploration of the principles that ensure identity remains intact, retrievable, and correctly classified within AI systems.
The 12 Laws of Identity
Foundational laws governing identity structure, retrieval, and machine perception.
Category Creation Laws
Principles for establishing new categories that AI systems can recognize and preserve.
AI Perception Principles
Core principles that govern how AI systems perceive, classify, and recall identity.
Semantic Endurance Principles
Laws ensuring identity meaning persists across time, retrieval events, and context shifts.
The Witt Identity Logic
Philosophical framework for understanding identity collapse and preservation.
The Future of Machine Perception
Forward-looking principles for identity engineering in evolving AI landscapes.
These doctrines form the intellectual foundation of Betweener Engineering™ and guide practitioners in building AI-resilient identity systems.
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