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Truth.py
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Truth.py
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"""
* The MIT License
*
* Copyright 2023 Patrick Hammer.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
* """
import math
def Truth_w2c(w):
return w / (w + 1.0)
def Truth_c2w(c):
return c / (1.0 - c)
def Truth_Expectation(v):
return (v[1] * (v[0] - 0.5) + 0.5)
def Truth_Negation(v):
return (1-v[0], v[1])
def Truth_Revision(v1, v2):
(f1, c1) = v1
(f2, c2) = v2
w1 = Truth_c2w(c1)
w2 = Truth_c2w(c2)
w = w1 + w2
if w == 0:
return (0.5, 0.0)
return (min(1.0, (w1 * f1 + w2 * f2) / w),
min(0.99, max(max(Truth_w2c(w), c1), c2)))
def Truth_Deduction(v1, v2):
(f1, c1) = v1
(f2, c2) = v2
return (f1*f2, f1*f2*c1*c2)
def Truth_Abduction(v1, v2):
(f1, c1) = v1
(f2, c2) = v2
return (f2, Truth_w2c(f1 * c1 * c2))
def Truth_Induction(v1, v2):
return Truth_Abduction(v2, v1)
def Truth_Projection(v, originalTime, targetTime):
return (v[0], v[1] * (0.8**abs(targetTime - originalTime)))
def Truth_w2c(w):
return w / (w + 1)
def Truth_Eternalize(v):
return (v[0], Truth_w2c(v[1]))