from src.minority_game import MinorityGameWithStrategyTable
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
if __name__ == "__main__":
# set agent num
agent_num = 201
# set round number from 10000 to 100000
round_num = 100000
depth = 3
strategy_num = 2
mean_list = []
stdd_list = []
# Run the game for different round number
game = MinorityGameWithStrategyTable(agent_num, round_num,depth,strategy_num)
mean_list,stdd_list = game.run_game()
# print result
print(mean_list)
print(stdd_list)
# plot mean
rounds = list(range(10000,110000,10000))
fig = plt.figure(figsize=(10, 4))
plt.plot(rounds,mean_list)
plt.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.2)
fig.suptitle('Mean Value')
plt.xlabel('Iteration number')
plt.ylabel('Average numbers of winners')
fig.savefig('ex3-2-S2-D3-mean.jpg')
# !/usr/bin/env python3 # coding: utf-8 from src.minority_game import MinorityGameWithStrategyTable game = MinorityGameWithStrategyTable(201, 50000, 3, 2,64) game.run_game() print(game.winner_for_diff_group())
from src.minority_game import MinorityGameWithStrategyTable
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
if __name__ == "__main__":
# set agent num
agent_number = 201
# set round number from 10000 to 100000
round_number = 100000
depth = 3
strategy_number = 2
means = []
stdds = []
# Run the game for different round number
mg = MinorityGameWithStrategyTable(agent_number, round_number,depth,strategy_number)
means,stdds = mg.run_game()
# print result
print(means)
print(stdds)
# plot mean
round_number = list(range(10000,110000,10000))
fig = plt.figure(figsize=(10, 4))
plt.plot(round_number,means)
plt.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.2)
fig.suptitle('Mean Value')
plt.xlabel('Iteration number')
plt.ylabel('Average numbers of winners')
fig.savefig('ex3-2-S2-D3-mean.jpg')
# !/usr/bin/env python3 # coding: utf-8 from src.minority_game import MinorityGameWithStrategyTable game = MinorityGameWithStrategyTable(201, 50000, 3, 2, 64) game.run_game() print(game.winner_for_diff_group())
if __name__ == "__main__":
# set agent num
agent_number = 201
# set round number from 10000 to 100000
round_number = 10000
depth_range = range(3, 11)
strategy_number = [3, 4, 8, 16, 32, 64]
result = pd.DataFrame(columns=["strategy_num", "d", "mean", "std"])
# Run the game for different round number
i = 0
for depth in depth_range:
for sn in strategy_number:
mg = MinorityGameWithStrategyTable(agent_number, round_number,
depth, sn)
mg.run_game()
mean, stdd = mg.score_mean_std
result.loc[i] = [sn, depth, mean, stdd]
i += 1
g = sns.factorplot(x="d",
y="mean",
hue="strategy_num",
data=result,
palette="YlGnBu_d",
size=6,
aspect=1.3)
plt.xlabel('Memory Size')
plt.ylabel('Average numbers of winners')
g.savefig("differerentSDmean")