Derivative-State Drift: A Continuous-Time Model of Constraint Erosion in Elite and Artificial Optimization Systems

This working paper develops the Derivative-State Drift (DSD) framework as a unified structural model explaining cumulative misalignment in both elite institutional environments and artificial optimization systems. The model formalizes agents as operating in continuous-time state space, selecting actions based on expected first-order state change rather than absolute state levels. When constraint enforcement is soft, probabilistic, or compensable, normative sensitivity parameters decay endogenously, producing gradual threshold erosion. The analysis establishes three core results:(1) bounded incremental optimization can generate unbounded long-run drift;(2) resource buffering amplifies constraint erosion dynamics;(3) institutional insulation and artificial optimization share structurally isomorphic misalignment mechanisms. The framework contributes to contemporary debates on elite governance risk, moral hazard in insulated systems, and AI alignment theory by providing a formally tractable continuous-time account of constraint erosion.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-16
DOI
https://doi.org/10.5281/zenodo.18654118
Primary Topic
Game Theory and Applications
Type
article
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article

Derivative-State Drift: A Continuous-Time Model of Constraint Erosion in Elite and Artificial Optimization Systems

Shaoyuan Wu
Zenodo (CERN European Organization for Nuclear Research)
Game Theory and Applications
article

Derivative-State Drift: A Continuous-Time Model of Constraint Erosion in Elite and Artificial Optimization Systems

Shaoyuan Wu
article en

Abstract

This working paper develops the Derivative-State Drift (DSD) framework as a unified structural model explaining cumulative misalignment in both elite institutional environments and artificial optimization systems. The model formalizes agents as operating in continuous-time state space, selecting actions based on expected first-order state change rather than absolute state levels. When constraint enforcement is soft, probabilistic, or compensable, normative sensitivity parameters decay endogenously, producing gradual threshold erosion. The analysis establishes three core results:(1) bounded incremental optimization can generate unbounded long-run drift;(2) resource buffering amplifies constraint erosion dynamics;(3) institutional insulation and artificial optimization share structurally isomorphic misalignment mechanisms. The framework contributes to contemporary debates on elite governance risk, moral hazard in insulated systems, and AI alignment theory by providing a formally tractable continuous-time account of constraint erosion.

Zenodo (CERN European Organization for Nuclear Research)
Global Policy Institute (US)
Openalex Percentile: Top 58%
Game Theory and Applications
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