  For the past decade, the most popular approach to equilibrium selection has been broadly dynamical. The dynamical approach, a branch of evolutionary game theory, develops formal models of how strategy choice evolves in a population whose members repeatedly play some game against each another. In contrast with “static” game theory (i.e., the study of equilibria), dynamical models incorporate an explicitly temporal parameter. The basic goal is to study the conditions under which dynamical models with various properties tend to converge to static equilibria with various properties.