Analysis of the expected density of internal equilibria in random evolutionary multi-player multi-strategy games.
In this paper, we study the distribution and behaviour of internal equilibria in a d-player n-strategy random evolutionary game where the game payoff matrix is generated from normal distributions. The study of this paper reveals and exploits interesting connections between evolutionary game theory and random polynomial theory. The main contributions of the paper are some qualitative and quantitative results on the expected density, [Formula: see text], and the expected number, E(n, d), of (stable) internal equilibria. Firstly, we show that in multi-player two-strategy games, they behave asymptotically as [Formula: see text] as d is sufficiently large. Secondly, we prove that they are monotone functions of d. We also make a conjecture for games with more than two strategies. Thirdly, we provide numerical simulations for our analytical results and to support the conjecture. As consequences of our analysis, some qualitative and quantitative results on the distribution of zeros of a random Bernstein polynomial are also obtained.
Mathematics Institute, University of Warwick, Coventry, UK. m.h.duong@warwick.ac.uk.
Manh Hong
MH
Duong
School of Computing, Teesside University, Middlesbrough, UK.
The Anh
TA
Han
D000465:Algorithms; D005075:Biological Evolution; D003198:Computer Simulation; D003299:Cooperative Behavior; D005716:Game Theory; D015233:Models, Statistical
Internal equilibria; Multi-player games; Random evolutionary games; Random polynomials