DOIAbstract
AbstractIt is shown that under a certain interpretation of belief maximum entropy arises naturally in inexact reasoning. Practical and theoretical consequences of this method are then discussed
AbstractIt is shown that under a certain interpretation of belief maximum entropy arises naturally in inexact reasoning. Practical and theoretical consequences of this method are then discussed
Maximum entropy method and its generalizations are very useful in data processing. In this paper, we...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
This paper is on the combination of two powerful approaches to uncertain reasoning: logic programmin...
This paper concerns the question of how to draw inferences common sensically from uncertain knowledg...
AbstractIt is shown that, assuming natural principles of independence and consistency, the method of...
The principle of maximum entropy is a general method to assign values to probability distributions o...
This thesis is concerned with the question “Given a set of knowledge about propositional variables, ...
AbstractWhile research into default reasoning is extensive and many default intuitions are commonly ...
This editorial explains the scope of the special issue and provides a thematic introduction to the c...
We investigate uncertain reasoning with quantified sentences of the predicate calculus treated as th...
What is the relationship between plausibility logic and the principle of maximum entropy? When does ...
The Principle of Maximum Entropy is often used to update probabilities due to evidence instead of pe...
AbstractThis paper is a sequel to an earlier result of the authors that in making inferences from ce...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
Maximum entropy method and its generalizations are very useful in data processing. In this paper, we...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
This paper is on the combination of two powerful approaches to uncertain reasoning: logic programmin...
This paper concerns the question of how to draw inferences common sensically from uncertain knowledg...
AbstractIt is shown that, assuming natural principles of independence and consistency, the method of...
The principle of maximum entropy is a general method to assign values to probability distributions o...
This thesis is concerned with the question “Given a set of knowledge about propositional variables, ...
AbstractWhile research into default reasoning is extensive and many default intuitions are commonly ...
This editorial explains the scope of the special issue and provides a thematic introduction to the c...
We investigate uncertain reasoning with quantified sentences of the predicate calculus treated as th...
What is the relationship between plausibility logic and the principle of maximum entropy? When does ...
The Principle of Maximum Entropy is often used to update probabilities due to evidence instead of pe...
AbstractThis paper is a sequel to an earlier result of the authors that in making inferences from ce...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
Maximum entropy method and its generalizations are very useful in data processing. In this paper, we...
A coherent statistical methodology is necessary for analyzing and understanding complex economic sys...
This paper is on the combination of two powerful approaches to uncertain reasoning: logic programmin...
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