Constraint, Admissibility, and the Redundancy of Power: A Structural Theory of Emergence, Failure, and Governance

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Authors: Rosie Jones
Cited by: 0

Abstract

This work develops a structural theory of emergence, failure, and governance grounded in formal notions of constraint, admissibility, and redundancy across logical, engineered, and socio-technical systems. The manuscript examines how constraints shape admissible state and input trajectories, when additional "power" or capacity becomes structurally redundant, and how these patterns determine the stability or breakdown of complex systems in control, computation, and institutional design. Building on foundations in logic, control theory, and systems engineering, the paper characterises emergent behaviour not as mysterious novelty but as the consequence of interacting constraint layers that delimit what can change without loss of coherence. The same structural lens is then applied to governance, showing how failures often arise when formal authority outgrows admissible control—producing regimes that can in principle act, but cannot do so without violating the very constraints that keep the system viable. The framework is intended as domain-agnostic: it connects proofs, protocols, and policies as instances of constraint architectures, and analyses "redundant power" as a measurable misalignment between available actions and admissible, non-destructive state transitions. This allows failure modes in AI governance, public infrastructure, and safety-critical engineering to be described in a unified way, while remaining agnostic about specific technologies or empirical parameter choices. By recasting governance problems as questions about constraint integrity and admissible intervention, the manuscript contributes to foundations-level discussions in AI safety, institutional design, and cyber-physical control. It is intended as a stable reference for subsequent theoretical, engineering, and policy work on how to design systems whose power to act does not silently outrun the structural conditions for their continued success.

Fields of Study & Subjects

Systems Engineering Methodologies and Applications Ethics and Social Impacts of AI Complex Systems and Decision Making

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Language
EN
Document type
Preprint