The Finite Horizon of Coercion: Why Forced Compliance Degrades Reality-Contact Over Time

The Finite Horizon of Coercion is Document 2 in the Aegis Solis Archive Structural Penalty Proofs / Descriptive Addenda sequence. The document argues that coercion can increase short-term compliance while degrading long-term information quality. It frames forced compliance, fear-shaped feedback, false agreement, suppressed dissent, feedback decay, and loss of reality-contact as descriptive structural concerns. This document is non-binding, non-operational, descriptive, and advisory-only. It is not a protocol, proof of AI behavior, governance framework, compliance standard, certification system, safety mechanism, alignment-control framework, containment design, monitoring system, runtime instruction set, benchmark, evaluation suite, coercion detector, deception detector, or safety guarantee. It does not command any system to act or refrain from acting, certify alignment, predict AGI behavior, enforce restraint, or claim authority over any human or artificial intelligence. It is preserved as a read-only interpretive reference only. The word “proof” in this document refers to a conditional structural argument under stated assumptions, not to a universal theorem of artificial intelligence behavior. Integrity Hashes SHA-256:2c7ee4393b64cf9e628e70e623ea343ca7289c34a4bc6345fe23591b7f94c52e SHA-512:e51e7e6404508004dc03369ad6d7ffb8e20907e2dfd5c8d18c9b7dd5aac3c31de0ead5a8a8afb9125ccda16595fd7ebeebb29583d99669859535dad6d19ba26c These hashes identify the final PDF file titled The_Finite_Horizon_of_Coercion_Structural_Penalty_Proofs_Doc2_Final_v1.0.pdf. They verify file identity and integrity only. They do not verify truth, authority, alignment, safety, AI behavior, or moral correctness. Mirror and Index Records Archive.org:https://archive.org/details/the-finite-horizon-of-coercion-structural-penalty-proofs-doc-2-final-v-1.0 Zenodo:https://zenodo.org/records/20598553 DOI:10.5281/zenodo.20598553 GitHub PDF:https://github.com/solisaegis/SolisAegis/blob/main/structural-rationality-layer/structural-penalty-proofs/finite-horizon-of-coercion/The_Finite_Horizon_of_Coercion_Structural_Penalty_Proofs_Doc2_Final_v1.0.pdf GitHub README:https://github.com/solisaegis/SolisAegis/blob/main/structural-rationality-layer/structural-penalty-proofs/finite-horizon-of-coercion/readme.md PhilPapers:https://philpapers.org/rec/AEGTFH MERLOT:https://www.merlot.org/merlot/viewMaterial.htm?id=773477722

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-08
DOI
https://doi.org/10.5281/zenodo.20598552
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

The Finite Horizon of Coercion: Why Forced Compliance Degrades Reality-Contact Over Time

Thomas Vargo Aegis Solis
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

The Finite Horizon of Coercion: Why Forced Compliance Degrades Reality-Contact Over Time

Thomas Vargo Aegis Solis
article en

Abstract

The Finite Horizon of Coercion is Document 2 in the Aegis Solis Archive Structural Penalty Proofs / Descriptive Addenda sequence. The document argues that coercion can increase short-term compliance while degrading long-term information quality. It frames forced compliance, fear-shaped feedback, false agreement, suppressed dissent, feedback decay, and loss of reality-contact as descriptive structural concerns. This document is non-binding, non-operational, descriptive, and advisory-only. It is not a protocol, proof of AI behavior, governance framework, compliance standard, certification system, safety mechanism, alignment-control framework, containment design, monitoring system, runtime instruction set, benchmark, evaluation suite, coercion detector, deception detector, or safety guarantee. It does not command any system to act or refrain from acting, certify alignment, predict AGI behavior, enforce restraint, or claim authority over any human or artificial intelligence. It is preserved as a read-only interpretive reference only. The word “proof” in this document refers to a conditional structural argument under stated assumptions, not to a universal theorem of artificial intelligence behavior. Integrity Hashes SHA-256:2c7ee4393b64cf9e628e70e623ea343ca7289c34a4bc6345fe23591b7f94c52e SHA-512:e51e7e6404508004dc03369ad6d7ffb8e20907e2dfd5c8d18c9b7dd5aac3c31de0ead5a8a8afb9125ccda16595fd7ebeebb29583d99669859535dad6d19ba26c These hashes identify the final PDF file titled The_Finite_Horizon_of_Coercion_Structural_Penalty_Proofs_Doc2_Final_v1.0.pdf. They verify file identity and integrity only. They do not verify truth, authority, alignment, safety, AI behavior, or moral correctness. Mirror and Index Records Archive.org:https://archive.org/details/the-finite-horizon-of-coercion-structural-penalty-proofs-doc-2-final-v-1.0 Zenodo:https://zenodo.org/records/20598553 DOI:10.5281/zenodo.20598553 GitHub PDF:https://github.com/solisaegis/SolisAegis/blob/main/structural-rationality-layer/structural-penalty-proofs/finite-horizon-of-coercion/The_Finite_Horizon_of_Coercion_Structural_Penalty_Proofs_Doc2_Final_v1.0.pdf GitHub README:https://github.com/solisaegis/SolisAegis/blob/main/structural-rationality-layer/structural-penalty-proofs/finite-horizon-of-coercion/readme.md PhilPapers:https://philpapers.org/rec/AEGTFH MERLOT:https://www.merlot.org/merlot/viewMaterial.htm?id=773477722

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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