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Other literature type . 2025
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Other literature type . 2025
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Thesis . 2025
License: CC BY ND
Data sources: Datacite
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Thesis . 2025
License: CC BY ND
Data sources: Datacite
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Evolutionary Predicament of Human Societal Governance and the Feasibility of Non-Anthropomorphic Computational Systems as a Sustainable Trajectory

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Evolutionary Predicament of Human Societal Governance and the Feasibility of Non-Anthropomorphic Computational Systems as a Sustainable Trajectory

Abstract

DISCLAIMER AND STATEMENT OF ANALYTICAL SCOPE This paper, titled "Evolutionary Predicament of Human Societal Governance and the Feasibility of Non-Anthropomorphic Computational Systems as a Sustainable Trajectory," presents a formal analysis grounded in system dynamics, evolutionary game theory, and computational complexity. 1. Objective and Value-Neutrality: The conclusions presented regarding the long-term convergence of the Global Civilization System (GCS) and Global Social System (GSS) toward "Self-Destruction" or "Eternal Totalitarianism" are derived purely from an analysis of the structural, mathematical, and evolutionary constraints inherent in high-complexity, multi-agent systems with exponential technological growth and sub-exponential coordination capacity. This study is conducted with strict value-neutrality. It is an engineering assessment of systemic fragility, not a moral judgment, political manifesto, or ideological argument. 2. Scope of Analysis (Prediction vs. Prescription): The identification of the two terminal states—the Self-Destruction probability attractor and the Global Stability Trap (Eternal Totalitarianism) attractor—is intended for the sole purpose of theoretical modeling, academic discourse, and risk mitigation in long-term governance strategy. This paper does not endorse, advocate for, or call for the establishment of any specific political system. Its findings should not be interpreted as a justification for any particular political action or ideology. 3. Warning Against Misinterpretation: The authors explicitly warn against the misinterpretation or weaponization of these findings for political discourse or policy advocacy. The analysis focuses on systemic inevitability under current, non-remediated parameters, which is meant to inform the urgent search for a paradigm shift in global governance, not to despair over present conditions or to provide a philosophical basis for fatalism. The responsibility for addressing and avoiding these predicted systemic failures remains with global political actors and civil society.

Keywords

AI Governance, Systemic Risk, Anti-Hijacking System, Computational Politics, Existential Risk, Evolutionary Psychology, Non-Anthropocentric Governance, Speculative Model, Civilizational Collapse, Evolutionary Mismatch, Totalitarianism Dynamics, Long-Term Survival

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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