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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Polynomial Tension Management: A Cross-Domain Conservation Law in Complex Adaptive Systems

Authors: Byrd, Adam Cadle;

Polynomial Tension Management: A Cross-Domain Conservation Law in Complex Adaptive Systems

Abstract

This paper introduces Polynomial Tension Management (PTM), a proposed cross-domain conservation principle describing how complex adaptive systems regulate structural tension across multiple layers of organization. The framework suggests that systems ranging from physical materials to biological networks and computational architectures exhibit conserved tension flows that can be modeled mathematically using polynomial relationships between stability, adaptability, and energy distribution. The PTM model is explored conceptually and mathematically, with discussion of potential applications in artificial intelligence architectures, adaptive governance systems, and resilient infrastructure design. This publication represents an early public release of the PTM framework and is intended to establish a timestamped research artifact for further investigation, critique, and collaborative development.

Keywords

Artificial intelligence, system dynamics, adaptive systems, computational epistemology, Conservation law, complex systems, cross-domain homology

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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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