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    boltzmann-wealth-model

    by toni-akintola

    An implementation of a basic agent-based Boltzmann Wealth Model.

    View on GithubCode in Colab

    Boltzmann Wealth Model

    A bandit model created by L. Pareschi and G. Toscani, which shows that knowledge has the potential to produce a class of "wealthy agents" and can account for a large proportion of wealth inequality. View the full paper here.

    Abstract

    We introduce and discuss a nonlinear kinetic equation of Boltzmann type that describes the influence of knowledge in the evolution of wealth in a system of agents that interact through the binary trades, an equation first introduced by Cordier et al. (2005 J. Stat. Phys. 120, 253–277 (doi:10.1007/S10955-005-5456-0)). The trades, which include both saving propensity and the risks of the market, are here modified in the risk and saving parameters, which now are assumed to depend on the personal degree of knowledge. The numerical simulations show that the presence of knowledge has the potential to produce a class of wealthy agents and to account for a larger proportion of wealth inequality.

    Model Details

    Parameters include

    • Size of network

    Set Parameters

    Model Variation

    MAX TIMESTEPS

    Convergence Data Key

    Convergence Std Dev

    Graph Type

    Num Nodes

    Run Timesteps

    Current Timestep: 0