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NAL.py
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NAL.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.
* """
from Truth import *
from Stamp import *
def NAL_Syllogisms(memory, premises, conclusion, isDeduction, isInduction, isAbduction):
if premises is None:
return None
premise1, premise2, conclusionTime = premises
if isDeduction or isInduction or isAbduction:
if isDeduction:
#start additional guards for deductions:
if " isa " not in premise1[0][0] + " " + premise2[0][0] and \
" are " not in premise1[0][0] + " " + premise2[0][0]:
return None
if len(premise1[0][0].split(" ")) != 3 and len(premise2[0][0].split(" ")) != 3:
return None
lastword_st0 = premise1[0][0].split(" ")[-1]
firstword_st0 = premise1[0][0].split(" ")[0]
lastword_st1 = premise2[0][0].split(" ")[-1]
firstword_st1 = premise2[0][0].split(" ")[0]
if lastword_st0 not in firstword_st1 and firstword_st1 not in lastword_st0 and \
lastword_st1 not in firstword_st0 and firstword_st0 not in lastword_st1:
return None
#end deduction guards
truth = Truth_Deduction(premise1[1][2], premise2[1][2])
elif isInduction:
truth = Truth_Induction(premise1[1][2], premise2[1][2])
elif isAbduction:
truth = Truth_Abduction(premise1[1][2], premise2[1][2])
stamp = Stamp_make(premise1[1][3], premise2[1][3])
Stamp_IsOverlapping = Stamp_hasOverlap(premise1[1][3], premise2[1][3])
return conclusion, conclusionTime, truth, stamp, Stamp_IsOverlapping
return None
def NAL_Revision_And_Choice(truth1, stamp1, truth2, stamp2):
if not Stamp_hasOverlap(stamp1, stamp2):
return Truth_Revision(truth1, truth2), Stamp_make(stamp1, stamp2)
else:
if truth1[1] > truth2[1]:
return truth1, stamp1
else:
return truth2, stamp2
def NAL_Projection(premise, conclusionTime):
((term, time), (lastUsed, useCount, TV, stamp, embedding)) = premise
return ((term, conclusionTime), (lastUsed, useCount, Truth_Projection(TV, time, conclusionTime), stamp))