Reasoning systems for examining evidence, learning, systems, sufficient understanding, and action under uncertainty.
These frameworks are evolving models I use to examine learning, systems, evidence, understanding, and decisions under uncertainty.
These are not finished universal theories. They are evolving structures for making questions clearer, exposing assumptions, and reasoning more deliberately when evidence remains incomplete.
An epistemic decision framework for determining when understanding is sufficient to begin acting, building, testing, or deciding under uncertainty.
When is understanding sufficient to justify action, building, testing, or decision-making under uncertainty?
A systems-thinking framework for defining a system, tracing its inputs and governing interactions, identifying its outputs, exposing assumptions and constraints, and preserving latent uncertainty before analysis or design begins.
How can a complex system be structured before detailed analysis, modeling, explanation, or design begins?
An evidential interpretation framework for organizing observable behaviors according to how strongly they may support the inference that learning has occurred.
What observable behaviors provide progressively stronger evidence that learning has occurred?