Boltzmann and Fokker-Planck equations modelling the Elo rating system with learning effects
arXiv:1806.06648 · doi:10.1007/s00332-018-9512-8
Abstract
In this paper we propose and study a new kinetic rating model for a large number of players, which is motivated by the well-known Elo rating system. Each player is characterised by an intrinsic strength and a rating, which are both updated after each game. We state and analyse the respective Boltzmann type equation and derive the corresponding nonlinear, nonlocal Fokker-Planck equation. We investigate the existence of solutions to the Fokker-Planck equation and discuss their behaviour in the long time limit. Furthermore, we illustrate the dynamics of the Boltzmann and Fokker-Planck equation with various numerical experiments.
arXiv comment24 pages, 6 figures
References in corpus (8)
- On the dynamics of social conflicts: looking for the Black Swan
- Boltzmann type control of opinion consensus through leaders
- Wealth distribution and collective knowledge. A Boltzmann approach
- Opinion dynamics: inhomogeneous Boltzmann-type equations modelling opinion leadership and political segregation
- Mesoscopic modelling of financial markets
- Evolution of wealth in a nonconservative economy driven by local Nash equilibria
- On a Boltzmann type price formation model
- A kinetic equation for economic value estimation with irrationality and herding
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