Preprint / scholarly article
Operational Deductive Rules for Real-Economy Acceleration in the AI Era
- Published
- DOI
- 10.5281/zenodo.18688712
Abstract
This preprint formalizes operational deductive rules that map observable AI capability-to-reality translation gaps to concrete intervention levers under physical, institutional, and risk constraints, yielding implementable acceleration policies for real-economy growth. It provides machine-readable rule registries and closed-loop protocols linking diagnostics, event attribution, robust allocation, and safety constraints.
Keywords
- AI economics
- real-economy acceleration
- capability-to-reality gap
- translation bottlenecks
- deductive operational rules
- observable diagnostics
- robust allocation control
- event attribution
- institutional readiness
- physical constraints
- policy levers
- machine-readable rule registry