過度封閉系統的風險：優化與人工主權
中文說明
本文論述了當科學理論、AI 優化與制度將暫時性的框架視為最終解時，會導致修正的可能性喪失，進而使系統變得脆弱。文中提出了「燈塔原則」（Lighthouse Principle），主張不應將評估、責任或主權完全封閉在優化過程內部，而應保留人類可以重新審查的參考點。
本研究的定位
這是一項關於文明與制度設計的規範性結構分析，並非單獨用於實證政策效果。
原題： The Risk of Closure: Why Discovery, Optimization, and Artificial Sovereignty Can Destabilize Civilizational Evolution
英文原文
檔案 https://doi.org/10.5281/zenodo.18663778
作者/創作者
摘要
This paper presents a structural analysis of closure as a failure mode in scientific, computational, and civilizational systems. It examines how dynamical completeness in formal systems does not entail empirical or institutional finality, and identifies a recurrent vulnerability arising when provisional frameworks are treated as final.
Building on a distinction between dynamical description and post-dynamical selection, the work clarifies the structural boundary between admissible possibility and realized historical constraint. It argues that attempts to internalize evaluation, responsibility, or sovereignty entirely within optimization processes introduce systemic fragility by eliminating revisability.
The paper introduces the Lighthouse Principle as a civilizational design constraint: no evaluative framework should be treated as structurally final. This principle preserves adaptive capacity by maintaining the institutional and epistemic conditions necessary for revision and re-observation.
This work does not propose new physical laws or empirical predictions. Its scope is structural and conceptual, focusing on the limits of formal description and the implications for artificial intelligence governance, optimization systems, and long-term civilizational stability.