Dynamic Process: With Some Expressive Voters (C.7)

[1]:

from matplotlib import pyplot as plt
from poisson_approval import *

[2]:

N_SAMPLES = 10000
N_MAX_EPISODES = 1000

[3]:

rand_profile = RandProfileHistogramUniform(n_bins=1, ratio_fanatic=0.5)

[4]:

results = monte_carlo_fictitious_play(
    factory=rand_profile,
    n_samples=N_SAMPLES,
    n_max_episodes=N_MAX_EPISODES,
    voting_rules=VOTING_RULES,
    init='random_tau',
    monte_carlo_settings=[
        MCS_WELFARE_LOSSES,
    ],
    file_save='sav/with_expressive_voters_0.5.sav',
)

[5]:

plot_welfare_losses(results, 'utilitarian_welfare_losses')
plt.savefig('img/fUWelfareF5.png', dpi=600, bbox_inches="tight")

../_images/notebooks_article_Dynamic_Process_05_With_Some_Expressive_Voters_(C.7)_5_0.png

[6]:

plot_welfare_losses(results, 'plurality_welfare_losses')
plt.savefig('img/fPLWelfareF5.png', dpi=600, bbox_inches="tight")

../_images/notebooks_article_Dynamic_Process_05_With_Some_Expressive_Voters_(C.7)_6_0.png

[7]:

plot_welfare_losses(results, 'anti_plurality_welfare_losses')
plt.savefig('img/fAPLWelfareF5.png', dpi=600, bbox_inches="tight")

../_images/notebooks_article_Dynamic_Process_05_With_Some_Expressive_Voters_(C.7)_7_0.png