MMP.15:1 - Problem frame
Use this when the work asks what changing an action, operating condition or working method would do, and available observations or experiments might already determine the answer. A fitted association, even a precise one, does not by itself say what would happen under that change. Start by writing the intervention and the quantity needed, then ask which available probability laws and causal assumptions can determine it.
The practical gain is an expression that can be estimated from the available records, a useful bound, or an explanation of the remaining ambiguity. Identification can spare an unnecessary experiment or prevent an unsupported intervention claim.
This is a method of mathematical modeling within causal reasoning. It constructs the connection from available laws to an intervention target. C.28.MR supplies the meaning and consequences of replacing a mechanism in a given causal model; here the model’s relevant mechanisms may remain unknown. Subject methods must justify what the intervention changes, which influences may be shared, and which relations remain applicable. The method applies to physical, biological and computational systems and to human or AI working methods.
Preparation requires conditional probability, expectation and the ability to follow a mathematical argument about assumed causal relations. For graphical derivations, the practitioner or an available specialist must be able to check which paths remain open under conditioning and intervention. A specialist contribution must return the target, assumptions, required observable quantities and derivation or obstruction; a software answer alone is insufficient.
Do not reconstruct identification when an applicable result already answers the unchanged question. Use MMP.13 for estimation under an already identified expression, and C.28.MR for a consequence inside a fully supplied causal model. Design another experiment only when the existing result is insufficient and further evidence is worth obtaining. For a question about the same observed case under another action, or a joint or nested comparison of its responses, MMP.19 constructs the common-case relation and determines what the available information fixes.