Constrained Structural Freedom: A Variational Formulation of the Principle of Maximal Freedom in Temporal Rate Ontology
Abstract
The Principle of Maximal Freedom (PMF) has served as the central dynamical orientation of Temporal Rate Ontology (TRO), directing DAG continuation growth toward configurations of higher continuation multiplicity. In its existing formulation, however, PMF functions as a meta-principle rather than a precise variational law: it orders admissible extensions but does not specify what quantity is extremized, over what trajectory class, or under what constraints. This paper upgrades PMF to a genuine variational principle. We introduce a finite-horizon constrained structural freedom functional, in which continuation multiplicity gain is balanced against a synchronization cost penalizing temporal-rate disparity across the active frontier. The probabilistic selection rule defines an exponential family distribution over admissible extensions, with continuation multiplicity and synchronization cost as sufficient statistics. The result is a falsifiable dynamical law with three explicit parameters: foresight depth H, synchronization strength gamma, and selection sharpness beta. We derive three nontrivial observables: a frontier segregation effect with an explicit Boltzmann-Gibbs selection ratio, a characteristic interface width between regions of differing temporal rate (qualitative prediction, with quantitative scaling deferred to the local-gradient refinement), and a three-regime relaxation law for localized frontier perturbations. A simulation design protocol is provided, specifying DAG generator, lambda initialization, and measurement of all three observables, making the paper directly reproducible. We identify the global-variance cost as the tractable first formulation and the local-gradient form as the target of a subsequent paper.
Fields of Study & Subjects
Generative Adversarial Networks and Image Synthesis
Embodied and Extended Cognition
Neural dynamics and brain function
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 April 2026
- Language
- EN
- Document type
- Preprint