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Analysis of evolutionary dynamics of strategies with updatable attributes in asymmetric population

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This analysis demonstrates how cooperation evolves in asymmetric populations, implying the role of strategy updates.

Lower self-social satisfaction can stabilize the population of cooperators, suggesting a need for strategic alignment.
Applying stronger punishments to profit-oriented individuals transitions the entire group to a reputation-oriented state.
Fermi update rule modifies strategies based on individual payoffs, enabling effective adaptation in evolutionary dynamics.
The study highlights the impact of individual attributes on cooperative behavior in asymmetric populations.

Feng et al. (2025) studied this question.

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