objects; representation; domains; constraints; recovery; multiplicity; optimization. How can the objects and conditions of a working question be expressed so that mathematical answers still refer to the intended possibilities?
B.5.FM for initial formulation; MATH.1/.5 for construction and representation; C.29.1 for transferring results; MMP.11 for unknown relations.
unknown relation; family; grounded structure; parameterization; completeness; identifiability. How can an unknown contribution vary without losing known relations, and which remaining ambiguity changes the requested consequence?
MMP.10 for admissible representation; A.3.3.TR for state; C.16.IR for observation-based inference; C.28.MR for intervention; MMP.9 for reduction.
available information; action; policy; decision timing; objective; conditional requirement; average performance. What can be chosen with information available in time, and which conditions must that choice satisfy?
MMP.7 for reports; A.3.3.TR for change; MMP.10 for constraints; ME for changing the corresponding way of working.
sequential decision; sufficient state; belief; policy; transition; accumulated consequence; continuation. What information must a continuing instruction retain, and how do present choices affect later possibilities and results?
MMP.8 for available choices; A.3.3.PI for predictive state and belief; MMP.7 for records; CMP.3/.5/.9 for policy computation.