A Structural Constraint Theory of Long-Horizon Systems: Understanding Structural Limits of Anticipatory Capacity and Long-Term Self-Correction
Year: 2026
Type: article
Abstract: This record preserves the full-length version of the manuscript that was submitted to SSRN on 2026-02-24. A later revised version of this project has already been posted on Zenodo. However, that later version is more selective and does not include the full set of materials contained in the present manuscript. This upload is therefore retained as an archival full working-paper version. A related SSRN version of this manuscript is now also available: SSRN DOI: 10.2139/ssrn.6296178 The paper develops Structural Constraint Theory (SCT) as a framework for analyzing why long-horizon systems often fail to sustain effective self-correction. It argues that long-run viability depends on the fidelity of recurrent corrective processes, including error detection, error naming, impact feedback, cost assessment, and meta-correction. The manuscript also includes extended appendices and exploratory formalizations that are not fully preserved in the later shortened version. This version should be understood as a working paper and historical snapshot rather than a final version of record. It may continue to evolve in future versions along the full-length working-paper line. Author: Kelun LiangAffiliation: Independent ResearcherLicense: CC BY-NC-ND 4.0
Author: Liang, Kelun
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7134267281
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