Dynamical mechanisms of adaptation in multiagent systems

Abstract
We consider multiagent systems whose agents compete for resources using strategies with adaptable preferences. Diversity of initial preferences of strategies is introduced by randomly assigning virtual points to the strategies of each agent. When diversity increases, the successive appearance of scaling, kinetic sampling and waiting mechanisms shows that agent cooperation becomes increasingly important. Analyses yield excellent agreement with simulations over nine decades of data.