sim_EWA | R Documentation |
sim_EWA()
simulates plays of a normal-form
game expected by an experienced weighted attraction (EWA) model.
sim_EWA(
game,
n_periods,
lambda = 1,
delta = 0.5,
rho = 0.5,
phi = 0.5,
A1_init = 0,
A2_init = 0,
N_init = 0
)
game |
An object of |
n_periods |
A positive integer specifying how many times the game is played within each sample. |
lambda |
A positive real value representing the players' sensitivity to
attraction values of strategies. As |
delta |
A real number between 0 and 1. This parameter controls how fast
attraction values of strategies that are not chosen are updated. If
|
rho |
A real value between 0 and 1. This parameter controls the learning
speed. |
phi |
A real value between 0 and 1. This parameter controls how much
attraction values at the current period are constrained by the past
attraction values. If |
A1_init |
An initial value of Player 1's attraction for each strategy. |
A2_init |
An initial value of Player 2's attraction for each strategy. |
N_init |
An initial value of N. |
Simulate plays of a normal-form game defined by
normal_form()
in a way expected by an EWA model.
Yoshio Kamijo and Yuki Yanai yanai.yuki@kochi-tech.ac.jp
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