Search results for "Conditional events"

showing 5 items of 15 documents

Probabilistic squares and hexagons of opposition under coherence

2017

Various semantics for studying the square of opposition and the hexagon of opposition have been proposed recently. We interpret sentences by imprecise (set-valued) probability assessments on a finite sequence of conditional events. We introduce the acceptability of a sentence within coherence-based probability theory. We analyze the relations of the square and of the hexagon in terms of acceptability. Then, we show how to construct probabilistic versions of the square and of the hexagon of opposition by forming suitable tripartitions of the set of all coherent assessments on a finite sequence of conditional events. Finally, as an application, we present new versions of the square and of the…

Settore MAT/06 - Probabilita' E Statistica MatematicaSquare of opposition02 engineering and technologycoherence conditional events hexagon of opposition imprecise probability square of opposition quantified sentences tripartition01 natural sciencesSquare (algebra)Theoretical Computer ScienceSet (abstract data type)Probability theoryArtificial IntelligenceFOS: Mathematics0202 electrical engineering electronic engineering information engineering0101 mathematicsMathematicsApplied MathematicsProbability (math.PR)010102 general mathematicsProbabilistic logicMathematics - LogicCoherence (statistics)Settore MAT/01 - Logica MatematicaImprecise probabilityAlgebra03b48020201 artificial intelligence & image processingLogic (math.LO)AlgorithmMathematics - ProbabilitySoftwareSentence
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On general conditional random quantities

2009

In the first part of this paper, recalling a general discussion on iterated conditioning given by de Finetti in the appendix of his book, vol. 2, we give a representation of a conditional random quantity $X|HK$ as $(X|H)|K$. In this way, we obtain the classical formula $\pr{(XH|K)} =\pr{(X|HK)P(H|K)}$, by simply using linearity of prevision. Then, we consider the notion of general conditional prevision $\pr(X|Y)$, where $X$ and $Y$ are two random quantities, introduced in 1990 in a paper by Lad and Dickey. After recalling the case where $Y$ is an event, we consider the case of discrete finite random quantities and we make some critical comments and examples. We give a notion of coherence fo…

Settore MAT/06 - Probabilita' E Statistica Matematicageneral conditional random quantities; general conditional prevision assessments; generalized compound prevision theoremgeneral conditional prevision assessmentsiterated conditioninggeneralized compound prevision theoremgeneral conditional random quantitiesconditional eventsstrong generalized compound prevision theoremConditional events general conditional random quantities general conditional prevision assessments generalized compound prevision theorem iterated conditioning strong generalized compound prevision theoremconditional events; general conditional random quantities; general conditional prevision assessments; generalized compound prevision theorem; iterated conditioning; strong generalized compound prevision theorem.
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Conjunction, Disjunction and Iterated Conditioning of Conditional Events

2013

Starting from a recent paper by S. Kaufmann, we introduce a notion of conjunction of two conditional events and then we analyze it in the setting of coherence. We give a representation of the conjoined conditional and we show that this new object is a conditional random quantity, whose set of possible values normally contains the probabilities assessed for the two conditional events. We examine some cases of logical dependencies, where the conjunction is a conditional event; moreover, we give the lower and upper bounds on the conjunction. We also examine an apparent paradox concerning stochastic independence which can actually be explained in terms of uncorrelation. We briefly introduce the…

Theoretical computer scienceSettore MAT/06 - Probabilita' E Statistica MatematicaComputer scienceProbabilistic logicCoherence (philosophical gambling strategy)Conditional events conditional random quantities conjunction disjunction iterated conditionalsConjunction (grammar)Set (abstract data type)Regular conditional probabilitydisjunction; conditional events; conjunction; conditional random quantities; iterated conditionals.Iterated functionRepresentation (mathematics)Settore SECS-S/01 - StatisticaMathematical economicsEvent (probability theory)
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Probabilistic semantics for categorical syllogisms of Figure II

2018

A coherence-based probability semantics for categorical syllogisms of Figure I, which have transitive structures, has been proposed recently (Gilio, Pfeifer, & Sanfilippo [15]). We extend this work by studying Figure II under coherence. Camestres is an example of a Figure II syllogism: from Every P is M and No S is M infer No S is P. We interpret these sentences by suitable conditional probability assessments. Since the probabilistic inference of \(\bar{P}|S\) from the premise set \(\{M|P,\bar{M}|S\}\) is not informative, we add \(p(S|(S \vee P))>0\) as a probabilistic constraint (i.e., an “existential import assumption”) to obtain probabilistic informativeness. We show how to propagate the…

Transitive relationSequenceSettore MAT/06 - Probabilita' E Statistica MatematicaProbabilistic logicSyllogismConditional probability02 engineering and technologyCoherence (philosophical gambling strategy)Imprecise probabilityCombinatoricscoherence conditional events defaults generalized quantifiers imprecise probability.020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCategorical variableMathematics
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Assessment of qualitative judgements for conditional events in expert systems

1991

business.industryComputer scienceConditional events; qualitative probabilities.; linear and nonlinear systems; numerical probabilities; coherenceConditional eventsqualitative probabilitiesExpert elicitationConditional probability distributioncomputer.software_genreMachine learningExpert systemcoherencenumerical probabilitieslinear and nonlinear systemsArtificial intelligencebusinesscomputer
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