Scientific models of individual choice must not only be internally coherent but also compatible across formulations, evidence sources, and extensions. Choice theory spans axiomatic preference models, optimization frameworks, stochastic representations, dynamic formulations, and empirical measurement. Compatibility requires that these approaches can be embedded within a single descriptive system of choice, such that shifting perspective (axiomatic ↔ behavioral, static ↔ dynamic, deterministic ↔ stochastic) does not fracture the domain into mutually incompatible sub-theories.

Key compatibility principles include:

Reduction to Established Limits (Correspondence Principle)

Convergence and Consilience of Evidence / Models

Preservation of Key Invariants and Principles

Internal Logical Consistency and Formal Rigor

These structural requirements—correspondence to established limits, convergence across models and evidence, preservation of core invariants, and strict logical coherence—define compatibility in the domain of individual choice. They ensure that choice theory remains a single, extensible science rather than a collection of disconnected modeling conventions.