Income distribution: An adaptive heterogeneous model

In this communication an adaptive process is introduced into a many-agent model for closed economic system in order to establish general features of income distribution. In this new version agents are able to modify their exchange parameter ω i of resources through an adaptive process. The conclusions indicate that assuming an instantaneous learning behavior of all agents a Γ -distribution for income is reproduced while a frozen behavior establishes a Pareto’s distribution for income with an exponent ν = 0.94 ± 0.02 . A third case occurs when a heterogeneous “inertia” behavior is introduced leading us to a Γ -distribution at the low income regime and a power-law decay for the large income values with an exponent ν = 2.05 ± 0.05 . This method enables investigation of the resources flux in the economic environment and produces also bounding values for the Gini index comparable with data evidences.