A logic is defined that allows to express information about statistical probabilities and about degrees of belief in specific propositions. By interpreting the two types of probabilities in one common probability space, the semantics given are well suited to model the influence of statistical information on the formation of subjective beliefs. Cross entropy minimization is a key element in these semantics, the use of which is justified by showing that the resulting logic exhibits some very reasonable properties.
Subjective logic is a type of probabilistic logic that allows probability values to be expressed wit...
In [1], two logics for reasoning about probabilities were introduced. The first was unable to reason...
AbstractIt has long been known that several popular default and conditional logics exactly describe ...
A logic is defined that allows to express information about statistical probabilities and about degr...
Default reasoning about probabilities is the assignment of subjective probabilities on the basis of ...
Degrees of belief are formed using observed evidence and statistical background information. In thi...
In this report we define a probabilistic extension for a basic terminological knowledge representati...
In this report we define a probabilistic extension for a basic terminological knowledge representati...
Inductive probabilistic reasoning is understood as the application of inference patterns that use st...
We describe a new approach to default reasoning, based on a principle of indifference among possible...
In this paper we make defeasible inferences from conditional probabilities using the Principle of To...
In this paper a probabilistic extensions for terminological knowledge representation languages is de...
This paper points out that there exists a relationship between the principle of Maximal Entropy (ME)...
AbstractThe principles of maximum entropy and of minimum cross-entropy (ME-principles) provide an el...
Qualitative and quantitative approaches to reasoning about uncertainty can lead to different logical...
Subjective logic is a type of probabilistic logic that allows probability values to be expressed wit...
In [1], two logics for reasoning about probabilities were introduced. The first was unable to reason...
AbstractIt has long been known that several popular default and conditional logics exactly describe ...
A logic is defined that allows to express information about statistical probabilities and about degr...
Default reasoning about probabilities is the assignment of subjective probabilities on the basis of ...
Degrees of belief are formed using observed evidence and statistical background information. In thi...
In this report we define a probabilistic extension for a basic terminological knowledge representati...
In this report we define a probabilistic extension for a basic terminological knowledge representati...
Inductive probabilistic reasoning is understood as the application of inference patterns that use st...
We describe a new approach to default reasoning, based on a principle of indifference among possible...
In this paper we make defeasible inferences from conditional probabilities using the Principle of To...
In this paper a probabilistic extensions for terminological knowledge representation languages is de...
This paper points out that there exists a relationship between the principle of Maximal Entropy (ME)...
AbstractThe principles of maximum entropy and of minimum cross-entropy (ME-principles) provide an el...
Qualitative and quantitative approaches to reasoning about uncertainty can lead to different logical...
Subjective logic is a type of probabilistic logic that allows probability values to be expressed wit...
In [1], two logics for reasoning about probabilities were introduced. The first was unable to reason...
AbstractIt has long been known that several popular default and conditional logics exactly describe ...