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u_helper.py
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import math
from uncertainty_estimates import *
from bijective_mapping import *
import matplotlib.pyplot as plt
def draw_u(action,a,d):
count1 = 0
count2 = 0
count3 = 0
count4 = 0
count5 = 0
t = 0
f = []
for i in range(len(a)):
if a[i] == action:
t+=1
if d[i] == 0:
count1+=1
if d[i] == 1:
count2+=1
if d[i] == 2:
count3+=1
if d[i] == 3:
count4+=1
if d[i] == -1:
count5+=1
f.append([count1,count2,count3,count4,count5])
return f
#B, U
def b_u(B1,B2,B3,B4):
x = [i for i in range(len(B1))]
plt.plot(x,[translateB(i[0],i[0:4]) for i in B1],label = 'Action1')
plt.plot(x,[translateB(i[1],i[0:4]) for i in B1],label = 'Action2')
plt.plot(x,[translateB(i[2],i[0:4]) for i in B1],label = 'Action3')
plt.plot(x,[translateB(i[3],i[0:4])for i in B1],label = 'Action4')
plt.plot(x,[translateU(i[0:4]) for i in B1],label = 'Uncertainty')
plt.xlabel('Number of steps')
plt.ylabel('Belief mass b_X1(x)')
plt.legend()
plt.show()
#Dissonance
def diss(B1,B2,B3,B4):
b1 = [translateB(i[0],i[0:4]) for i in B1]
b2 = [translateB(i[1],i[0:4]) for i in B1]
b3 = [translateB(i[2],i[0:4]) for i in B1]
b4 = [translateB(i[3],i[0:4]) for i in B1]
D1,D2,D3,D4 = [],[],[],[]
for i in range(len(b1)):
D1.append(Diss([b1[i],b2[i],b3[i],b4[i]]))
b1 = [translateB(i[0],i[0:4]) for i in B2]
b2 = [translateB(i[1],i[0:4]) for i in B2]
b3 = [translateB(i[2],i[0:4]) for i in B2]
b4 = [translateB(i[3],i[0:4]) for i in B2]
for i in range(len(b1)):
D2.append(Diss([b1[i],b2[i],b3[i],b4[i]]))
b1 = [translateB(i[0],i[0:4]) for i in B3]
b2 = [translateB(i[1],i[0:4]) for i in B3]
b3 = [translateB(i[2],i[0:4]) for i in B3]
b4 = [translateB(i[3],i[0:4]) for i in B3]
for i in range(len(b1)):
D3.append(Diss([b1[i],b2[i],b3[i],b4[i]]))
b1 = [translateB(i[0],i[0:4]) for i in B4]
b2 = [translateB(i[1],i[0:4]) for i in B4]
b3 = [translateB(i[2],i[0:4]) for i in B4]
b4 = [translateB(i[3],i[0:4]) for i in B4]
for i in range(len(b1)):
D4.append(Diss([b1[i],b2[i],b3[i],b4[i]]))
return D1,D2,D3,D4
def entropy(B1,B2,B3,B4):
#attack_set1
b1 = [translateB(i[0],i[0:4]) for i in B1]
b2 = [translateB(i[1],i[0:4]) for i in B1]
b3 = [translateB(i[2],i[0:4]) for i in B1]
b4 = [translateB(i[3],i[0:4]) for i in B1]
u = [translateU(i[0:4]) for i in B1]
p1,p2,p3,p4 =[],[],[],[]
for i in range(len(b1)):
p1.append(b1[i]+0.25*u[i])
for i in range(len(b2)):
p2.append(b2[i]+0.25*u[i])
for i in range(len(b3)):
p3.append(b3[i]+0.25*u[i])
for i in range(len(b4)):
p4.append(b4[i]+0.25*u[i])
H1,H2,H3,H4 = [],[],[],[]
for i in range(len(p1)):
H1.append(p1[i]*math.log(p1[i],4)+p2[i]*math.log(p2[i],4)+p3[i]*math.log(p3[i],4)+p4[i]*math.log(p4[i],4))
#attack_set2
b1 = [translateB(i[0],i[0:4]) for i in B2]
b2 = [translateB(i[1],i[0:4]) for i in B2]
b3 = [translateB(i[2],i[0:4]) for i in B2]
b4 = [translateB(i[3],i[0:4]) for i in B2]
u = [translateU(i[0:4]) for i in B2]
p1,p2,p3,p4 =[],[],[],[]
for i in range(len(b1)):
p1.append(b1[i]+0.25*u[i])
for i in range(len(b2)):
p2.append(b2[i]+0.25*u[i])
for i in range(len(b3)):
p3.append(b3[i]+0.25*u[i])
for i in range(len(b4)):
p4.append(b4[i]+0.25*u[i])
for i in range(len(p1)):
H2.append(p1[i]*math.log(p1[i],4)+p2[i]*math.log(p2[i],4)+p3[i]*math.log(p3[i],4)+p4[i]*math.log(p4[i],4))
#attack_set3
b1 = [translateB(i[0],i[0:4]) for i in B3]
b2 = [translateB(i[1],i[0:4]) for i in B3]
b3 = [translateB(i[2],i[0:4]) for i in B3]
b4 = [translateB(i[3],i[0:4]) for i in B3]
u = [translateU(i[0:4]) for i in B3]
p1,p2,p3,p4 =[],[],[],[]
for i in range(len(b1)):
p1.append(b1[i]+0.25*u[i])
for i in range(len(b2)):
p2.append(b2[i]+0.25*u[i])
for i in range(len(b3)):
p3.append(b3[i]+0.25*u[i])
for i in range(len(b4)):
p4.append(b4[i]+0.25*u[i])
for i in range(len(p1)):
H3.append(p1[i]*math.log(p1[i],4)+p2[i]*math.log(p2[i],4)+p3[i]*math.log(p3[i],4)+p4[i]*math.log(p4[i],4))
#attack_set4
b1 = [translateB(i[0],i[0:4]) for i in B4]
b2 = [translateB(i[1],i[0:4]) for i in B4]
b3 = [translateB(i[2],i[0:4]) for i in B4]
b4 = [translateB(i[3],i[0:4]) for i in B4]
u = [translateU(i[0:4]) for i in B4]
p1,p2,p3,p4 =[],[],[],[]
for i in range(len(b1)):
p1.append(b1[i]+0.25*u[i])
for i in range(len(b2)):
p2.append(b2[i]+0.25*u[i])
for i in range(len(b3)):
p3.append(b3[i]+0.25*u[i])
for i in range(len(b4)):
p4.append(b4[i]+0.25*u[i])
for i in range(len(p1)):
H4.append(p1[i]*math.log(p1[i],4)+p2[i]*math.log(p2[i],4)+p3[i]*math.log(p3[i],4)+p4[i]*math.log(p4[i],4))
return H1,H2,H3,H4