UFT-ID 2.0: Constraint-First Information Dynamics and Deterministic Recovery

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Authors: Trent Slade
Cited by: 0

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