Test integration quality by verifying that each component…
Test integration quality by verifying that each component schema still generates distinct predictions post-integration; if all schemas produce identical outputs, you have homogenized rather than integrated.
Why This Is a Principle
This principle provides a functional test grounded in Schemas as Knowledge Organization Structures (schemas organize knowledge), Structural Correspondence in Mental Models (mental models have structural correspondence), and The performance of an agent is bounded by the accuracy… (agent performance bounded by world model accuracy). The ensemble method analogy (individual trees in a random forest maintain distinct predictions) grounds the test: genuine integration preserves functional diversity while enabling coordination.
Source Lessons
Integration is not homogenization
Good integration preserves the diversity of your schemas while connecting them.
Contradiction resolution is schema evolution
Resolving contradictions often requires updating one or both of the schemas involved. The contradiction is not a flaw in reality — it is a flaw in the model. And the resolution is not choosing a side. It is evolving the schema until the contradiction dissolves into a more accurate representation of how things actually work.
Dialectical thinking
Thesis and antithesis can sometimes be resolved through synthesis that preserves truth from both.