UFT-ID 2.0: Constraint-First Information Dynamics and Deterministic Recovery
Abstract
This preprint formalizes Unified Field Theory of Information Dynamics (UFT-ID) 2.0, a constraint-first framework for modeling informational evolution. The central claim is that information dynamics are generically overcomplete, while stable and predictable behavior arises from geometric admissibility constraints that define a privileged subspace of legal states. Deviations from this admissible region are detectable as violations, accumulate a quadratic tension functional, and-upon crossing critical thresholds-trigger deterministic recovery via lexicographic state selection. The framework explicitly parallels the logic of quantum error correction (QEC), but applies it to informational evolution on discrete substrates rather than to quantum states. The theory does not claim to replace physical field theories, quantum mechanics, or general relativity; instead, it provides a unifying architectural language for constraint-governed dynamics across physical, computational, and informational domains.
Fields of Study & Subjects
Computability
Logic
AI Algorithms
Embodied and Extended Cognition
Cognitive Computing and Networks
Publication details
- Publication date
- 8 January 2026
- Document type
- Preprint