Scientific models of interaction must not only be internally coherent but also compatible across strategic formulations, institutional descriptions, and empirical implementations. The domain spans non-cooperative and cooperative games, market models, mechanism design, matching, networks, and institutional rules. Compatibility requires that these components can be embedded within one unified descriptive system of interaction, such that changing viewpoint (game ↔ market, static ↔ dynamic, complete ↔ incomplete information, decentralized ↔ mechanism-based) does not fracture the theory into mutually incompatible sub-domains.

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 key invariants, and strict logical coherence—define compatibility in the domain of interaction. They ensure that markets, games, and mechanisms are different views of the same underlying strategic reality, not disconnected theoretical constructs.