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