Automated reasoning about uncertain knowledge has many applications. One difficulty when developing such systems is the lack of a completely satisfactory integration of logic and probability. We address this problem head on
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
This paper proposes a common framework for various probabilistic logics. It consists of a set of unc...
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial ...
We propose a general scheme for adding probabilistic reasoning capabilities to a wide variety of kno...
Automated reasoning about uncertain knowledge has many applications. One difficulty when developing ...
Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values, bu...
Steffen Michels Hybrid Probabilistic Logics: Theoretical Aspects, Algorithms and Experiments Probabi...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
AbstractThis paper explores the relationship between probabilistic and symbolic approaches to reason...
AbstractProbability is usually closely related to Boolean structures, i.e., Boolean algebras or prop...
This article aims to achieve two goals: to show that probability is not the only way of dealing with...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
Abstract. This paper proposes a method of integrating two different concepts of belief in artificial...
Probability is usually closely related to Boolean structures, i.e. Boolean algebras or propositional...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
This paper proposes a common framework for various probabilistic logics. It consists of a set of unc...
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial ...
We propose a general scheme for adding probabilistic reasoning capabilities to a wide variety of kno...
Automated reasoning about uncertain knowledge has many applications. One difficulty when developing ...
Uncertain knowledge can be modeled by using graded probabilities rather than binary truth-values, bu...
Steffen Michels Hybrid Probabilistic Logics: Theoretical Aspects, Algorithms and Experiments Probabi...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
AbstractThis paper explores the relationship between probabilistic and symbolic approaches to reason...
AbstractProbability is usually closely related to Boolean structures, i.e., Boolean algebras or prop...
This article aims to achieve two goals: to show that probability is not the only way of dealing with...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
Abstract. This paper proposes a method of integrating two different concepts of belief in artificial...
Probability is usually closely related to Boolean structures, i.e. Boolean algebras or propositional...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
We investigate probabilistic propositional logics as a way of expressing, and reasoning about decisi...
This paper proposes a common framework for various probabilistic logics. It consists of a set of unc...
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial ...
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