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Sigma KEE - conditionalProbability
conditionalProbability

appearance as argument number 1
-------------------------


(documentation conditionalProbability ChineseLanguage "这是其中一个基本的 ProbabilityRelations,conditionalProbability 是用来描述一个条件机率的数值。 (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER) 的意思是,如果 ?FORMULA1 属真,那么 ?FORMULA2 会是真,它出现的机率会是?NUMBER。") chinese_format.kif 1903-1906
(documentation conditionalProbability EnglishLanguage "One of the basic ProbabilityRelations. conditionalProbability is used to state the numeric value of a conditional probability. (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER) means that the probability of ?FORMULA2 being true given that ?FORMULA1 is true is ?NUMBER.") Merge.kif 2587-2591
(documentation conditionalProbability JapaneseLanguage "基本的な ProbabilityRelationconditionalProbability の 1 つは、条件付き確率の数値を指定するために使用される。 (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER)とは、?FORMULA1が正しいことを考えると、 ?FORMULAが正しい確率が ?NUMBER であることを意味する。") japanese_format.kif 530-533
(domain conditionalProbability 1 Formula) Merge.kif 2583-2583 The number 1 argument of conditional probability is an instance of formula
(domain conditionalProbability 2 Formula) Merge.kif 2584-2584 The number 2 argument of conditional probability is an instance of formula
(domain conditionalProbability 3 RealNumber) Merge.kif 2585-2585 The number 3 argument of conditional probability is an instance of real number
(instance conditionalProbability ProbabilityRelation) Merge.kif 2581-2581 conditional probability is an instance of probability relation
(instance conditionalProbability TernaryPredicate) Merge.kif 2582-2582 conditional probability is an instance of ternary predicate

appearance as argument number 2
-------------------------


(format ChineseLanguage conditionalProbability "如果 %2 是正确, 那 %1 的机率就 %n 是 %3") chinese_format.kif 77-77
(format EnglishLanguage conditionalProbability "probability of %1 provided that %2 holds is %n %3") english_format.kif 77-77
(format FrenchLanguage conditionalProbability "la probabilit� de %1 pourvu que %2 vaut %n %3") french_format.kif 63-63
(format ItalianLanguage conditionalProbability "probabilità di %1 ammesso che %2 valga è %n %3") relations-it.txt 49-49
(format JapaneseLanguage conditionalProbability "%2 が %3 では %n 場合の %1 の probability") japanese_format.kif 1887-1887
(format PortugueseLanguage conditionalProbability "a probabilidade de %1 sabendo que %2 vale e' %n %3") portuguese_format.kif 15-15
(format cb conditionalProbability "ang higayon na %1 kung %2 tinuod sa %n ay %2") relations-cb.txt 83-83
(format cz conditionalProbability "probability of %1 provided that %2 holds %p{je} %n{nen�} %3") relations-cz.txt 89-89
(format de conditionalProbability "Gesetzt den Fall, dass %2 gilt, ist die wahrscheinlichkeit von %1 %n{nicht} %3") relations-de.txt 86-86
(format hi conditionalProbability "yadi %2 ghatiTa hotaa to %1 kii sambhaavanaa %3 %n hai") relations-hindi.txt 56-56
(format ro conditionalProbability "probability%t{probabilitatea} lui %1 dat fiind faptul cã %2 apare, %n{nu} este %3") relations-ro.kif 82-82
(format sv conditionalProbability "sannolikheten för %1 givet att %2 gäller är %n{inte} %3") relations-sv.txt 62-62
(format tg conditionalProbability "ang pagkakataon ng %1 kung %2 totoo sa %n ay %2") relations-tg.txt 114-114
(termFormat ChineseLanguage conditionalProbability "机率") chinese_format.kif 78-78
(termFormat ChineseLanguage conditionalProbability "条件概率") domainEnglishFormat.kif 16528-16528
(termFormat ChineseTraditionalLanguage conditionalProbability "條件概率") domainEnglishFormat.kif 16527-16527
(termFormat EnglishLanguage conditionalProbability "conditional probability") domainEnglishFormat.kif 16526-16526
(termFormat de conditionalProbability "Abhaenigkeitswahrscheinlichkeit") terms-de.txt 23-23
(termFormat tg conditionalProbability "may pasubali pagkakataon") relations-tg.txt 115-115

antecedent
-------------------------


(=>
    (and
        (conditionalProbability
            (attribute ?X ComfortFood)
            (attribute ?X HeartHealthyFood) ?NUMBER1)
        (conditionalProbability
            (attribute ?X ComfortFood)
            (not
                (attribute ?X HeartHealthyFood)) ?NUMBER2))
    (lessThan ?NUMBER1 ?NUMBER2))
Dining.kif 1148-1156
(=>
    (and
        (decreasesLikelihood ?FORMULA1 ?FORMULA2)
        (equal
            (ProbabilityFn ?FORMULA2) ?NUMBER1)
        (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER2))
    (lessThan ?NUMBER2 ?NUMBER1))
Merge.kif 2623-2628
(=>
    (and
        (increasesLikelihood ?FORMULA1 ?FORMULA2)
        (equal
            (ProbabilityFn ?FORMULA2) ?NUMBER1)
        (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER2))
    (greaterThan ?NUMBER2 ?NUMBER1))
Merge.kif 2606-2611
(=>
    (and
        (independentProbability ?FORMULA1 ?FORMULA2)
        (equal
            (ProbabilityFn ?FORMULA2) ?NUMBER1)
        (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER2))
    (equal ?NUMBER2 ?NUMBER1))
Merge.kif 2640-2645
(=>
    (and
        (instance ?AGENT AutonomousAgent)
        (potentialCustomer ?CUST ?AGENT)
        (modalAttribute
            (and
                (instance ?R Reserving)
                (destination ?R ?AGENT)) Necessity)
        (conditionalProbability
            (exists (?RES1)
                (and
                    (instance ?RES1 Reservation)
                    (reservingEntity ?CUST ?RES1)
                    (fulfillingEntity ?AGENT ?RES1)))
            (customer ?CUST ?AGENT) ?NUM1)
        (conditionalProbability
            (not
                (exists (?RES2)
                    (and
                        (instance ?RES2 Reservation)
                        (reservingEntity ?CUST ?RES2)
                        (fulfillingEntity ?AGENT ?RES2))))
            (customer ?CUST ?AGENT) ?NUM2))
    (lessThan ?NUM2 ?NUM1))
Dining.kif 772-795
(=>
    (and
        (instance ?D DeliveryService)
        (destination ?D ?LOC1)
        (deliveryRegion ?AGENT ?REGION)
        (conditionalProbability
            (located ?LOC1 ?REGION)
            (agent ?D ?AGENT) ?NUMBER1)
        (conditionalProbability
            (not
                (located ?LOC1 ?REGION))
            (agent ?D ?AGENT) ?NUMBER2))
    (lessThan ?NUMBER2 ?NUMBER1))
Dining.kif 552-561

consequent
-------------------------


(=>
    (diseaseMortality ?DISEASE ?RATE)
    (conditionalProbability
        (exists (?ORGANISM)
            (and
                (instance ?ORGANISM Organism)
                (attribute ?ORGANISM ?DISEASE)))
        (exists (?DEATH)
            (and
                (instance ?DEATH Death)
                (experiencer ?DEATH ?ORGANISM))) ?RATE))
WMD.kif 890-900


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