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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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The Three Laws of Change (v1.1)

Authors: Pravda, Pixie;

The Three Laws of Change (v1.1)

Abstract

Abstract The Three Laws of Change (v1.1) formalizes a cross-domain framework for measuring transformation through a unified proportional law of responsiveness, a conservation law of existence, and an invariance law of continuity. Together these describe how systems initiate, exchange, and sustain change across physical, computational, and cognitive domains. The model introduces the Elementary Transition Unit (ETU) — a proposed operational unit of realized change — and its six-fold measurement substrate STEMIO (Space–Time–Energy–Matter–Information–Organization). Using empirical tests across synthetic EEG, Ising models, cellular automata, and learning systems, the proportional law (dR = F · gg · dΦ) shows stable multiplicative coupling within a distinct Interaction band, suggesting that transformation follows a conserved grammar rather than a purely stochastic process. The accompanying normalization and Interaction Detector Protocol (v1.1) allow reproducible cross-domain validation. All datasets, calibration scripts, and replication materials are publicly archived. Together, the Three Laws and ETU formalism define a reproducible metric of transformation intended for independent empirical testing. — Pixie Pravda Foundation (Brussels) · October 2025

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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
Green