Principlev1
Identify and improve keystone meta-schemas whose function
Identify and improve keystone meta-schemas whose function cascades across multiple domains rather than optimizing domain-specific schemas in isolation.
Why This Is a Principle
This derives from Habits as Context-Response Associations (habits form when repeated behavior produces rewards) and Schemas as Knowledge Organization Structures (schemas organize knowledge and guide processing). The principle prescribes a search pattern: find the meta-schemas that govern behavior across multiple domains (like self-regulation capacity) and improve those rather than working domain by domain. This follows from the structural fact that some meta-schemas have broader influence than others - improving high-centrality nodes has multiplicative effects. The principle is actionable and represents a specific application of leverage thinking to schema architecture.