15 research outputs found

    Measures of inconsistency and defaults

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    AbstractWe introduce a method for measuring inconsistency based on the number of formulas needed for deriving a contradiction. The relationships to previously considered methods based on probability measures are discussed. Those methods are extended to conditional probability and default reasoning

    Probabilistic entailment and iterated conditionals

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    In this paper we exploit the notions of conjoined and iterated conditionals, which are defined in the setting of coherence by means of suitable conditional random quantities with values in the interval [0,1][0,1]. We examine the iterated conditional (B∣K)∣(A∣H)(B|K)|(A|H), by showing that A∣HA|H p-entails B∣KB|K if and only if (B∣K)∣(A∣H)=1(B|K)|(A|H) = 1. Then, we show that a p-consistent family F={E1∣H1,E2∣H2}\mathcal{F}=\{E_1|H_1,E_2|H_2\} p-entails a conditional event E3∣H3E_3|H_3 if and only if E3∣H3=1E_3|H_3=1, or (E3∣H3)∣QC(S)=1(E_3|H_3)|QC(\mathcal{S})=1 for some nonempty subset S\mathcal{S} of F\mathcal{F}, where QC(S)QC(\mathcal{S}) is the quasi conjunction of the conditional events in S\mathcal{S}. Then, we examine the inference rules AndAnd, CutCut, CautiousCautious MonotonicityMonotonicity, and OrOr of System~P and other well known inference rules (ModusModus PonensPonens, ModusModus TollensTollens, BayesBayes). We also show that QC(F)∣C(F)=1QC(\mathcal{F})|\mathcal{C}(\mathcal{F})=1, where C(F)\mathcal{C}(\mathcal{F}) is the conjunction of the conditional events in F\mathcal{F}. We characterize p-entailment by showing that F\mathcal{F} p-entails E3∣H3E_3|H_3 if and only if (E3∣H3)∣C(F)=1(E_3|H_3)|\mathcal{C}(\mathcal{F})=1. Finally, we examine \emph{Denial of the antecedent} and \emph{Affirmation of the consequent}, where the p-entailment of (E3∣H3)(E_3|H_3) from F\mathcal{F} does not hold, by showing that $(E_3|H_3)|\mathcal{C}(\mathcal{F})\neq1.

    Quasi Conjunction, Quasi Disjunction, T-norms and T-conorms: Probabilistic Aspects

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    We make a probabilistic analysis related to some inference rules which play an important role in nonmonotonic reasoning. In a coherence-based setting, we study the extensions of a probability assessment defined on nn conditional events to their quasi conjunction, and by exploiting duality, to their quasi disjunction. The lower and upper bounds coincide with some well known t-norms and t-conorms: minimum, product, Lukasiewicz, and Hamacher t-norms and their dual t-conorms. On this basis we obtain Quasi And and Quasi Or rules. These are rules for which any finite family of conditional events p-entails the associated quasi conjunction and quasi disjunction. We examine some cases of logical dependencies, and we study the relations among coherence, inclusion for conditional events, and p-entailment. We also consider the Or rule, where quasi conjunction and quasi disjunction of premises coincide with the conclusion. We analyze further aspects of quasi conjunction and quasi disjunction, by computing probabilistic bounds on premises from bounds on conclusions. Finally, we consider biconditional events, and we introduce the notion of an nn-conditional event. Then we give a probabilistic interpretation for a generalized Loop rule. In an appendix we provide explicit expressions for the Hamacher t-norm and t-conorm in the unitary hypercube
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