  In real-world scenarios, individuals often cooperate for mutual benefit.
However, differences in wealth can lead to varying outcomes for similar
actions. In complex social networks, individuals' choices are also influenced
by their neighbors. To explore the evolution of strategies in realistic
settings, we conducted repeated asymmetric prisoners dilemma experiments on a
weighted BA scale-free network. Our analysis highlighted how the four
components of memory-one strategies affect win rates, found two special
strategies in the evolutionary process, and increased the cooperation levels
among individuals. These findings offer practical insights for addressing
real-world problems.
