Abstract
This paper proposes the Miulus Law as a universal information-theoretic constraint on self-referential systems. It defines epistemic fitness as the balance between verified signal, informational noise, and reinforcement reach, and argues that collapse follows when systems fall below a critical threshold.
The paper connects the framework to biology, cognition, thermodynamics, civilizational stability, and artificial intelligence, then outlines how the Epistemic Librarian architecture fits inside that broader theory.
What the paper covers
- The formal statement of the Miulus Law and the concept of epistemic fitness.
- Cross-domain relevance spanning biological, social, cognitive, and artificial systems.
- Empirical framing, hazard functions, temporal dynamics, and collapse thresholds.
- Corollaries for physical systems, mathematics, cognition, and artificial general intelligence constraints.
- The Epistemic Librarian architecture as an applied response to the law.
Why it matters
The paper reframes systemic collapse as an epistemic problem: when signal verification cannot keep up with noise, complex systems lose their ability to maintain a coherent internal model of reality. That makes verification work a structural requirement, not an optional layer added after the fact.