def createRarelyRule(rule):
rarelyIsRule = False
rarelyIsHead = False
isImplication = isinstance(rule, basicLogic.operator_bitonic_implication)
rarelyIsRule = isinstance(rule, basicLogic.operator_monotonic_rarely)
if isImplication:
rarelyIsHead = isinstance(rule.clause2,
basicLogic.operator_monotonic_rarely)
rarelyInRightPlace = rarelyIsRule or rarelyIsHead
if rarelyIsHead:
c1 = rule.clause1
c2 = basicLogic.operator_monotonic_negation(rule.clause1)
#known to be mostly
c3 = basicLogic.operator_monotonic_negation(rule.clause2.clause)
r = basicLogic.operator_tritonic_defaultRule(c1, c2, c3)
return r
elif rarelyIsRule:
c1 = basicLogic.TRUE
c2 = rule.clause
c3 = basicLogic.operator_monotonic_negation(rule.clause)
r = basicLogic.operator_tritonic_defaultRule(c1, c2, c3)
return r
else:
print("Requirement that 'mostly' is the second clause in a->m(b)")
raise Exception()
def unit_yuvalOnions():
yuval = scp.scp(epistemicStateType="dl")
eatonionSoup = basicLogic.atom("eatOnionSoup")
loveEating= basicLogic.atom("loveEating")
eatOnions=basicLogic.atom("eatOnions")
brushTeeth=basicLogic.atom("brushTeeth")
careForHygiene=basicLogic.atom("careForHygiene")
dontEatOnions=basicLogic.operator_monotonic_negation(eatOnions)
rule1=basicLogic.operator_tritonic_defaultRule(eatonionSoup,[eatOnions],eatOnions)
rule2=basicLogic.operator_tritonic_defaultRule(eatonionSoup,[loveEating],loveEating)
rule3=basicLogic.operator_tritonic_defaultRule(loveEating,[brushTeeth],brushTeeth)
rule4=basicLogic.operator_tritonic_defaultRule(brushTeeth,[careForHygiene],careForHygiene)
rule5=basicLogic.operator_tritonic_defaultRule(careForHygiene,[dontEatOnions],dontEatOnions)
factEatsOnionSoup = basicLogic.operator_bitonic_implication(basicLogic.TRUE,eatonionSoup)
D = [rule1,rule2,rule3,rule4,rule5]
W = [factEatsOnionSoup]
V = [eatonionSoup, loveEating, eatOnions, brushTeeth, careForHygiene]
yuval.addDList(D)
yuval.addVList(V)
yuval.addWList(W)
yuval.addNext(comp_def_eval)
print ("<<<<<<<<YUVAL>>>>>>>>>>")
print (yuval.evaluate())
def unit_quakersRepublicans():
dick = scp.scp(epistemicStateType="dl")
republican = basicLogic.atom('republican')
quaker = basicLogic.atom('quaker')
pacifist = basicLogic.atom('pacifist')
factRepublican = basicLogic.operator_bitonic_implication(basicLogic.TRUE, republican)
factQuaker = basicLogic.operator_bitonic_implication(basicLogic.TRUE, quaker)
notPacifist = basicLogic.operator_monotonic_negation(pacifist)
#republicans are usually not pacifists
rule1 = basicLogic.operator_tritonic_defaultRule(republican,[notPacifist],notPacifist)
#quakers are usually pacifists
rule2 = basicLogic.operator_tritonic_defaultRule(quaker,[pacifist],pacifist)
D = [rule1,rule2]
W = [factRepublican,factQuaker]
V = [republican,quaker,pacifist]
dick.addDList(D)
dick.addWList(W)
dick.addVList(V)
dick.addNext(comp_def_eval)
print ("<<<<<<<<DICK>>>>>>>>>>")
print (dick.evaluate())
def evaluateEpistemicState(self, epi):
#set of conditional rules
delta = epi['Delta']
S = epi['S']
V = epi['V']
resolvedDependencies = []
for conditional in delta:
consequence = conditional.clause1
precondition = conditional.clause2
if consequence not in resolvedDependencies:
lowestk = m_addAB.findLowestK(epi)
allDependencies = m_addAB.findAllConditionalDependencyPreconditions(
consequence, delta)
abBody = None
for dep in allDependencies:
negateDep = basicLogic.operator_monotonic_negation(dep)
if dep != precondition:
if abBody == None:
abBody = negateDep
else:
abBody = basicLogic.operator_bitonic_or(
abBody, negateDep)
if abBody == None:
abBody = basicLogic.FALSE
abName = 'ab_' + str(lowestk)
abAtom = basicLogic.atom(abName, None)
ab = basicLogic.operator_bitonic_implication(abAtom, abBody)
negABAtom = basicLogic.operator_monotonic_negation(abAtom)
newBody = basicLogic.operator_bitonic_and(
precondition, negABAtom)
newRule = basicLogic.operator_bitonic_implication(
consequence, newBody)
#add the abnormality and its assignment to the list of rules
S.append(newRule)
S.append(ab)
V.append(abAtom)
resolvedDependencies = resolvedDependencies + allDependencies
#all conditionals have now been interpreted
epi['Delta'] = []
return epi
def createBodyFromRulesThatAffectHead(self, head, body, li_abs):
#if basicLogic.isGroundAtom(body):
if basicLogic.isGroundAtom(body) or basicLogic.isGroundAtom(head):
return basicLogic.operator_bitonic_implication(body,
head), None, li_abs
newAbnormality = basicLogic.atom('ab{}'.format(len(li_abs) + 1))
negAbnormality = basicLogic.operator_monotonic_negation(newAbnormality)
li_abs.append(newAbnormality)
newBody = basicLogic.operator_bitonic_and(body, negAbnormality)
newRule = basicLogic.operator_bitonic_implication(newBody, head)
return newRule, newAbnormality, li_abs
def getVariablesFromThW(thW):
v = []
for x in thW:
if isinstance(x[0], basicLogic.atom):
v.append(copy.deepcopy(x[0]))
v[-1].setValue(x[1])
elif isinstance(x[0], basicLogic.operator_monotonic_negation):
v.append(copy.deepcopy(x[0].clause))
doubleNeg = basicLogic.operator_monotonic_negation(
basicLogic.atom('', x[1]))
v[-1].setValue(doubleNeg.evaluate())
return v
def evaluate(self):
prev_epi = self.prev.evaluate()
current_epi = complexOperation.createEmptyNextEpi(prev_epi)
oldkb = prev_epi.getKB()
oldV = prev_epi.getV()
current_epi.addVariableList(oldV)
current_epi.addKnowledgeList(oldkb)
for rule in oldkb:
if not rule.immutable:
if isinstance(rule, basicLogic.atom) and not self.isGroundAtom(
rule.clause2):
negateClause1 = basicLogic.operator_monotonic_negation(
rule.clause1)
negateClause2 = basicLogic.operator_monotonic_negation(
rule.clause2)
contraRule = basicLogic.operator_bitonic_implication(
negateClause1, negateClause2)
current_epi.addKnowledge(contraRule)
return current_epi
def createNewAbnormalityInstant(self, otherRulesThatAffectHead):
# case: KB={D->3, T->3} without this (T -> ab) is created
otherRulesThatAffectHead = self.removeGroundFromRules(
otherRulesThatAffectHead)
#if nothing else affects the head, assume the abnormality is false by default
if otherRulesThatAffectHead == []:
rule = basicLogic.FALSE
return rule
rule = otherRulesThatAffectHead[0]
#added a negated disjunction of all the rules
for other in range(1, len(otherRulesThatAffectHead)):
neg = basicLogic.operator_monotonic_negation(rule)
rule = basicLogic.operator_bitonic_or(rule, neg)
return rule
def unit_tweetyAndChilly ():
#create the two birds as individual scps
tweety = scp.scp(epistemicStateType="dl")
chilly = scp.scp(epistemicStateType="dl")
#variables
flies = basicLogic.atom('flies')
bird = basicLogic.atom('bird')
notflies = basicLogic.operator_monotonic_negation(flies)
#the only inference rule
rule1 = basicLogic.operator_tritonic_defaultRule(bird,[flies],flies)
fact_bird = basicLogic.operator_bitonic_implication(basicLogic.TRUE, bird)
factNotFlies = basicLogic.operator_bitonic_implication(basicLogic.TRUE, notflies)
#the set of concrete rules
W_tweety=[fact_bird]
W_chilly=[fact_bird,factNotFlies]
#in this case both tweety and chilly share the same inference rules
D = [rule1]
V = [flies,bird]
#create wteety
tweety.addDList(D)
tweety.addVList(V)
tweety.addWList(W_tweety)
#create chilly
chilly.addDList(D)
chilly.addVList(V)
chilly.addWList(W_chilly)
#add the complex operator for evaluating default rules
tweety.addNext(comp_def_eval)
chilly.addNext(comp_def_eval)
print ("<<<<<<<<TWEETY>>>>>>>>>>")
print (tweety.evaluate())
print (chilly.evaluate())
def evaluate(self):
#get the previous epistemic state
epi_prev = self.prev.evaluate()
#generate an empy epistemic state of the same type as the previous one
epi_next = complexOperation.createEmptyNextEpi(epi_prev)
#all variables in prevkb will be present in the next one (plus abnormalities)
prev_v = epi_prev.getV()
epi_next.addVariableList(prev_v)
#the list of created abnormalities
ABs = []
prev_kb = epi_prev.getKB()
for rule in prev_kb:
#we do this because there can be 1 or 2 heads/bodies depending on -> or <->
body = self.getBodies(rule)
head = self.getHeads(rule)
if rule.immutable:
epi_next.addKnowledge(rule)
else:
for h in head:
for b in body:
#truth values don't need abnormalities
if basicLogic.isGroundAtom(b):
newRule = basicLogic.operator_bitonic_implication(
b, h)
epi_next.addKnowledge(newRule)
else:
#find every clause x, with (x->head)
rulesThatAffectHead = self.getRulesThatAffectHead(
h, prev_kb)
#remove this body from the list of rules that affect head
otherRulesThatAffectHead = self.removeRuleFromList(
b, rulesThatAffectHead)
#create the new abnormality
newAb = basicLogic.atom(
"ab{}".format(len(ABs) + 1))
ABs.append(newAb)
negAb = basicLogic.operator_monotonic_negation(
newAb)
newBody = basicLogic.operator_bitonic_and(b, negAb)
newRule = basicLogic.operator_bitonic_implication(
newBody, h)
epi_next.addKnowledge(newRule)
#create a valuation for the new abnormality
abInstHead = newAb
abInstBody = self.createNewAbnormalityInstant(
otherRulesThatAffectHead)
abInstBodyIsGroundValue = basicLogic.isGroundAtom(
abInstBody)
newAbInstBody = abInstBody if abInstBodyIsGroundValue else basicLogic.operator_monotonic_negation(
abInstBody)
abInstRule = basicLogic.operator_bitonic_implication(
newAbInstBody, abInstHead)
epi_next.addKnowledge(abInstRule)
#add the new abnormality to the variable list
epi_next.addVariable(newAb)
return epi_next
knowledge_3 = basicLogic.operator_bitonic_implication(basicLogic.TRUE, card_3)
knowledge_k = basicLogic.operator_bitonic_implication(basicLogic.TRUE, card_k)
knowledge_7 = basicLogic.operator_bitonic_implication(basicLogic.TRUE, card_7)
# the extra fact that 7->not(3)
#CHANGED pPrime = basicLogic.operator_monotonic_negation(card_3)
pPrime = basicLogic.atom("D'", None)
knowledge_primeRelationp = basicLogic.operator_bitonic_implication(
card_7, pPrime, immutable=True)
# the extra fact that K->not(D)
#CHANGED qPrime = basicLogic.operator_monotonic_negation(card_k)
qPrime = basicLogic.atom("3'", None)
knowledge_primeRelationq = basicLogic.operator_bitonic_implication(
card_d, qPrime, immutable=True)
notPPrime = basicLogic.operator_monotonic_negation(pPrime, immutable=True)
knowledgeNotPtoP = basicLogic.operator_bitonic_implication(notPPrime,
card_d,
immutable=True)
#ALL POSSIBLE VARIABLES (USED IN ABDUCTION)
allVariables = (card_3, card_7, card_d, card_k, pPrime, qPrime)
#INITIALISE THE SET OF COMPLEX OPERATORS M
# create the complex operation to add abnormalities
comp_addAB = complexOperation.complexOperation_addAB()
# create the complex operation to delete a named variable
comp_deleteo = complexOperation.complexOperation_deleteVariable('o')
# create the complex operation to fix a named variable to a specified value
comp_fixab1 = complexOperation.complexOperation_fixVariable('ab1', False)
# Create the complex operation to weakly complete the logic program
