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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Universal Decision System: Balance, Feedback, and System Integrity in Complex Human Networks

Authors: Malicse, Angelito;

The Universal Decision System: Balance, Feedback, and System Integrity in Complex Human Networks

Abstract

Abstract Human civilization can be understood as a large-scale network of interconnected decision systems operating within the constraints of natural laws. This paper proposes a conceptual framework called the Universal Decision System, which models human societies as dynamic networks composed of individuals, institutions, and information flows. The framework integrates principles from Systems Science, Network Science, Cybernetics, and Complex Systems. The proposed model argues that system stability depends on three key conditions: balanced interactions, accurate information, and defect-free system components. When defects accumulate or balance is violated, instability emerges in the form of social conflict, institutional failure, economic crises, or ecological collapse. The paper formalizes these ideas through a mathematical representation called the Grand Equation of the Universal Decision System and presents a network-based interpretation of civilization as a collective decision process embedded within the natural environment.

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Powered by OpenAIRE graph
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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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