Mutual Constraints and the Emergence of Information

This paper develops a non-representational account of information grounded in the dynamics of interacting registrars. Building on the principle of intrinsic boundedness, according to which not all state transitions are equally realizable, the analysis examines how constraints evolve under conditions of interaction. Registrars are defined minimally as systems undergoing irreversible state modifications in response to signals, without access to their own processes and without transmitting information as such. Signals are treated not as carriers of content, but as inducers of change. When registrars interact, the modifications they induce in one another generate interdependent constraints on admissible transitions. The paper demonstrates that such mutual constraints may stabilize through repeated compatibility of effects, giving rise to persistent structures that cannot be reduced to individual registrars. These structures do not encode information internally. However, they admit external description in terms of structured variability. When represented as distributions over admissible transitions, they can be associated with measures formally analogous to Shannon entropy. Information, in this framework, is not an intrinsic property of systems, but an effect of external description applied to stabilized constraint structures. The analysis thus relocates information from transmission and representation to the domain of constraint formation and stabilization.