TY - BOOK
T1 - On the expected number of equilibria in a multi-player multi-strategy evolutionary game
AU - Duong, M.H.
AU - Han, T.A.
PY - 2014
Y1 - 2014
N2 - In this paper, we analyze the mean number $E(n,d)$ of internal equilibria in a general $d$-player $n$-strategy evolutionary game where the agents' payoffs are normally distributed. First, we give a computationally implementable formula for the general case. Next we characterize the asymptotic behavior of $E(2,d)$, estimating its lower and upper bounds as $d$ increases. Then we provide an exact formula for $E(n,2)$. As a consequence, we show that in both cases the probability to see the maximal possible number of equilibria tends to zero when $d$ or $n$ respectively goes to infinity. Finally, for larger $n$ and $d$, numerical results are provided and discussed.
AB - In this paper, we analyze the mean number $E(n,d)$ of internal equilibria in a general $d$-player $n$-strategy evolutionary game where the agents' payoffs are normally distributed. First, we give a computationally implementable formula for the general case. Next we characterize the asymptotic behavior of $E(2,d)$, estimating its lower and upper bounds as $d$ increases. Then we provide an exact formula for $E(n,2)$. As a consequence, we show that in both cases the probability to see the maximal possible number of equilibria tends to zero when $d$ or $n$ respectively goes to infinity. Finally, for larger $n$ and $d$, numerical results are provided and discussed.
M3 - Report
T3 - arXiv
BT - On the expected number of equilibria in a multi-player multi-strategy evolutionary game
PB - s.n.
ER -