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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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An Evolutionary Model Based on Self-Reinforcing Feedback: A Theoretical Framework for SRF Evolution Theory

Authors: Mihara, Koji;

An Evolutionary Model Based on Self-Reinforcing Feedback: A Theoretical Framework for SRF Evolution Theory

Abstract

This study proposes a theoretical framework describing evolutionary processes in terms of self-reinforcing feedback (SRF) dynamics. The model conceptualizes evolution as a persistence-selective process emerging from reaction-field stability, structural stabilization, and feedback-mediated reinforcement. Within this framework, SRF loops are defined as reaction structures in which catalytic activity and structural stability mutually enhance one another, resulting in increased reaction persistence. The concepts of group editing and group cooperation are introduced to describe mechanisms generating structural diversity and stabilizing reaction networks, respectively. Furthermore, the notion of an environmental code is presented to account for environment-dependent biases influencing structural distributions. The proposed framework does not aim to replace existing evolutionary theory but to provide an integrative descriptive model linking chemical reaction dynamics, stabilization processes, and information-like biases. The study discusses the theoretical implications, conceptual coherence, and potential directions for empirical examination.

Keywords

Evolutionary model, Ribozyme, Chemical evolution, Environmental code, Theoretical framework, Reaction networks, Structural stabilization, Self-reinforcing feedback

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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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