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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Analysis of the expected density of internal equilibria in random evolutionary multi-player multi-strategy games
Manh Hong Duong1, The Anh Han2
1Mathematics Institute, University of Warwick, Coventry, UK. m.h.duong@warwick.ac.uk.
Abstract:
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.
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