We first describe a metric for uncertain probabilities called opinion, and subsequently a set of logical operators that can be used for logical reasoning with uncertain propositions. This framework which is called subjective logic uses elements from the Dempster-Shafer belief theory and we show that it is compatible with binary logic and probability calculus
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
Issues of formalising and interpreting epistemic uncertainty have always played a prominent role in ...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
We first describe a metric for uncertain probabilities called opinion, and subsequently a set of log...
Probabilistic logic combines the capability of binary logic to express the structure of argument mod...
Subjective logic is a type of probabilistic logic that allows probability values to be expressed wit...
This paper defines a framework for artificial reasoning called Subjective Logic, which consists of ...
Abstract. This paper defines a framework for artificial reasoning called Subjective Logic, which con...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
AbstractMultiplication and comultiplication of beliefs represent a generalisation of multiplication ...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
Probability can be viewed as a multi-valued logic that extends binary Boolean propositional logic t...
AbstractProbability is usually closely related to Boolean structures, i.e., Boolean algebras or prop...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
Issues of formalising and interpreting epistemic uncertainty have always played a prominent role in ...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
We first describe a metric for uncertain probabilities called opinion, and subsequently a set of log...
Probabilistic logic combines the capability of binary logic to express the structure of argument mod...
Subjective logic is a type of probabilistic logic that allows probability values to be expressed wit...
This paper defines a framework for artificial reasoning called Subjective Logic, which consists of ...
Abstract. This paper defines a framework for artificial reasoning called Subjective Logic, which con...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
AbstractMultiplication and comultiplication of beliefs represent a generalisation of multiplication ...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
Probability can be viewed as a multi-valued logic that extends binary Boolean propositional logic t...
AbstractProbability is usually closely related to Boolean structures, i.e., Boolean algebras or prop...
This work is part of the larger project INTEGRITY. Integrity develops a conceptual frame integrating...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
Issues of formalising and interpreting epistemic uncertainty have always played a prominent role in ...
We propose a general scheme for adding probabilistic reasoning capabilities to any knowledge represe...
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