Emergence of cooperation in a population with bimodal response behaviors

We human beings show remarkable adaptability in response to complex surroundings, we adopt different behavioral modes at occasions, such multimodality is critical our survival. Yet, how this affects the evolution of cooperation remains largely unknown. Here build a toy model address issue by considering population with bimodal behaviors, or specifically, Fermi and Tit-for-tat updating rules. While former rule tends imitate strategies those neighbors who are doing well, latter repeats what their did them. In structural mixing implementation, where fixed for each individual, find that moderate mode mixture unexpectedly boosts overall level population. The boost even more pronounced probabilistic mixing, individual randomly chooses one two step, full seen wide range. These findings robust underlying topology Our mean-field treatment reveals prevalence within players linearly increases fraction TFT explains non-monotonic dependence mixing. study shows diversity behaviors may help explain emergence realistic contexts.