Towards probabilistic formalisms for resolving local inconsistencies under model-theoretic probabilistic entailment, we present probabilistic generalizations of Pearl's entailment in System Z and Lehmann's lexicographic entailment. We then analyze the nonmonotonic and semantic properties of the new notions of entailment. In particular, we show that they satisfy the rationality postulates of System P and the property of Rational Monotonicity. Moreover, we show that model-theoretic probabilistic entailment is stronger than the new notion of lexicographic entailment, which in turn is stronger than the new notion of entailment in System Z. As an important feature of the new notions of entailment in System Z and lexicographic entailment, we show...
We introduce a notion of strong monotonicity of probabilistic predicate transformers. This notion en...
In previous work, I have introduced nonmonotonic probabilistic logics under variable-strength inheri...
Abstract. 1 In [20], a new Hybrid Probabilistic Logic Programs framework is proposed, and a new sema...
Towards probabilistic formalisms for resolving local inconsistencies under model-theoretic probabili...
AbstractWe present an approach where probabilistic logic is combined with default reasoning from con...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
Recently, it has been shown that probabilistic entailment under coherence is weaker than model-theor...
Recently, it has been shown that probabilistic entailment under coherence is weaker than model-theor...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
In previous work, I have presented approaches to nonmonotonic probabilistic reasoning, which is a pr...
In this paper we apply a probabilistic reasoning under coherence to System P.We consider a notion of...
z-, lexicographic, and conditional entailment have similar propertiesas their classical counterparts...
AbstractWe elaborate locally complete inference rules for probabilistic deduction from taxonomic and...
We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail...
We elaborate locally complete inference rules for probabilistic deduction from taxonomic and probabi...
We introduce a notion of strong monotonicity of probabilistic predicate transformers. This notion en...
In previous work, I have introduced nonmonotonic probabilistic logics under variable-strength inheri...
Abstract. 1 In [20], a new Hybrid Probabilistic Logic Programs framework is proposed, and a new sema...
Towards probabilistic formalisms for resolving local inconsistencies under model-theoretic probabili...
AbstractWe present an approach where probabilistic logic is combined with default reasoning from con...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
Recently, it has been shown that probabilistic entailment under coherence is weaker than model-theor...
Recently, it has been shown that probabilistic entailment under coherence is weaker than model-theor...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
In previous work, I have presented approaches to nonmonotonic probabilistic reasoning, which is a pr...
In this paper we apply a probabilistic reasoning under coherence to System P.We consider a notion of...
z-, lexicographic, and conditional entailment have similar propertiesas their classical counterparts...
AbstractWe elaborate locally complete inference rules for probabilistic deduction from taxonomic and...
We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail...
We elaborate locally complete inference rules for probabilistic deduction from taxonomic and probabi...
We introduce a notion of strong monotonicity of probabilistic predicate transformers. This notion en...
In previous work, I have introduced nonmonotonic probabilistic logics under variable-strength inheri...
Abstract. 1 In [20], a new Hybrid Probabilistic Logic Programs framework is proposed, and a new sema...