Browsing Interface : Welcome guest : log in
Home |  Graph |  LogLearn |  ]  KB:  Language:    Formal Language: 


KB Term:  Term intersection
English Word: 

Sigma KEE - conditionalProbability
conditionalProbability

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


(instance conditionalProbability ProbabilityRelation) Merge.kif 2616-2616 conditional probability is an instance of probability relation
(instance conditionalProbability TernaryPredicate) Merge.kif 2617-2617 conditional probability is an instance of ternary predicate
(domain conditionalProbability 1 Formula) Merge.kif 2618-2618 The number 1 argument of conditional probability is an instance of formula
(domain conditionalProbability 2 Formula) Merge.kif 2619-2619 The number 2 argument of conditional probability is an instance of formula
(domain conditionalProbability 3 RealNumber) Merge.kif 2620-2620 The number 3 argument of conditional probability is an instance of real number
(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 2622-2626 The number 3 argument of conditional probability is an instance of real number

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


(termFormat EnglishLanguage conditionalProbability "conditional probability") domainEnglishFormat.kif 16512-16512
(termFormat ChineseTraditionalLanguage conditionalProbability "條件概率") domainEnglishFormat.kif 16513-16513
(termFormat ChineseLanguage conditionalProbability "条件概率") domainEnglishFormat.kif 16514-16514
(format EnglishLanguage conditionalProbability "probability of %1 provided that %2 holds is %n %3") english_format.kif 77-77

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


(=>
    (and
        (increasesLikelihood ?FORMULA1 ?FORMULA2)
        (equal
            (ProbabilityFn ?FORMULA2) ?NUMBER1)
        (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER2))
    (greaterThan ?NUMBER2 ?NUMBER1))
Merge.kif 2641-2646 If X increases likelihood of Y, equal the probability of Y and Z, and probability of X provided that Y holds is W, then W is greater than Z
(=>
    (and
        (decreasesLikelihood ?FORMULA1 ?FORMULA2)
        (equal
            (ProbabilityFn ?FORMULA2) ?NUMBER1)
        (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER2))
    (lessThan ?NUMBER2 ?NUMBER1))
Merge.kif 2658-2663 If X decreases likelihood of Y, equal the probability of Y and Z, and probability of X provided that Y holds is W, then W is less than Z
(=>
    (and
        (independentProbability ?FORMULA1 ?FORMULA2)
        (equal
            (ProbabilityFn ?FORMULA2) ?NUMBER1)
        (conditionalProbability ?FORMULA1 ?FORMULA2 ?NUMBER2))
    (equal ?NUMBER2 ?NUMBER1))
Merge.kif 2675-2680 If probability of X and Y is independent, equal the probability of Y and Z, and probability of X provided that Y holds is W, then equal W and Z
(=>
    (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 If X is an instance of delivery service, X ends up at Y, Z is the delivery area of W, probability of Y is located at Z provided that W is an agent of X holds is V, and probability of Y is not located at Z provided that W is an agent of X holds is U, then U is less than V
(=>
    (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 If X is an instance of agent, Y is a potential customer for X, the statement Z is an instance of reserving and Z ends up at X has the modal force of necessity, probability of there exists W such that W is an instance of reservation, Y reserves W, and X fulfills W provided that X is a customer of Y holds is V, and probability of there doesn't exist U such that U is an instance of reservation, Y reserves U, and X fulfills U provided that X is a customer of Y holds is T, then T is less than V
(=>
    (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 If probability of comfort food is an attribute of X provided that heart_healthy food is an attribute of X holds is Y and probability of comfort food is an attribute of X provided that heart_healthy food is not an attribute of X holds is Z, then Y is less than Z

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 885-895 If X is a disease mortality of Y, then probability of there exists Z such that Z is an instance of organism, Y is an attribute of Z provided that there exists W such that W is an instance of death, and Z experiences W holds is X


Show full definition with tree view
Show simplified definition (without tree view)
Show simplified definition (with tree view)



Sigma web home      Suggested Upper Merged Ontology (SUMO) web home
Sigma version 3.0 is open source software produced by Articulate Software and its partners