Aspiration dynamics generate robust predictions in heterogeneous populations.

ABSTRACT: Update rules, which describe how individuals adjust their behavior over time, affect the outcome of social interactions. Theoretical studies have shown that evolutionary outcomes are sensitive to model details when update rules are imitation-based but are robust when update rules are self-evaluation based. However, studies of self-evaluation based rules have focused on homogeneous population structures where each individual has the same number of neighbors. Here, we consider heterogeneous population structures represented by weighted networks. Under weak selection, we analytically derive the condition for strategy success, which coincides with the classical condition of risk-dominance. This condition holds for all weighted networks and distributions of aspiration levels, and for individual

SUBMITTER: Zhou L 

PROVIDER: S-EPMC8166829 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature