Self-Consistent Misalignment: Observability Constraints and Structural Consequences in Adaptive Multi-Agent Systems

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Authors: Bin Seol
Cited by: 3

Abstract

RT2 specifies self-consistent misalignment as a trajectory where task-relevant mismatch deepens while internal evaluation continues to report health and loses discriminating power. It separates this trajectory definition from mechanisms that might generate it. Conditional information and observation results identify distinct limits without proving inevitable observer loss or impossible autonomous correction. Version 3.0 proposes reference-displacement and response measurements that distinguish information, evaluation, updating, and recovery. Explicit mathematical examples and prospective comparisons replace unreproduced numerical demonstrations. Related literature supplies bounded examples, while framework-specific measurement gains, scaling relations, and correction-cost laws remain unvalidated.

Fields of Study & Subjects

Distributed Control Multi-Agent Systems Reinforcement Learning in Robotics Embodied and Extended Cognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 September 2026
Language
EN