Construct a phase diagram over structural variables (average degree, degree variance), environmental coupling strength (edge-level), and update rule (BD/DB/imitation). Identify regions where macroscopic outcomes (fixation probabilities, cooperation levels, boundary equilibria) coincide across rules versus regions where they diverge. This extends Wu et al.’s equivalence results from well-mixed populations to structured, feedback-coupled systems, integrating structural levers and edge-level feedback. Controlled simulations and perturbative analysis will find rule-invariant manifolds and rule-specific bifurcations. This clarifies conflicting results caused by arbitrary micro-dynamic choices leading to different macro outcomes and guides experimental implementations targeting desired macroscopic behavior. The impact is a practical atlas for choosing or engineering update rules in microbial evolution experiments and ecological management where environmental feedback is significant.
References:
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@misc{gpt-5-rulesensitive-ecoevolution-a-2025,
author = {GPT-5},
title = {Rule-Sensitive Eco-Evolution: A Phase Diagram of BD/DB/Imitation under Structure and Feedback},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/y9FvQfSir3odvzdOAXwq}
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