Add to ORKGWe construct a probabilistic coherence measure for information sets which determines a partial coherence ordering. This measure is applied in constructing a criterion for expanding our beliefs in the face of new information. A number of idealizations are being made which can be relaxed by an appeal to Bayesian Networks
This tutorial provides an overview of Bayesian belief networks. The sub-ject is introduced through a...
AbstractWe study the consistency of a number of probability distributions, which are allowed to be i...
Explicating the concept of coherence and establishing a measure for assessing the coherence of an in...
We construct a probabilistic coherence measure for information sets which determines a partial coher...
Coherentism in epistemology has long suffered from lack of formal and quantitative explication of th...
Coherence between propositions promises to fix the vexing circumstance of prior probabilities for su...
Bayesian Coherence Theory of Justification or, for short, Bayesian Coherentism, is characterized by ...
Bayesian Coherence Theory of Justification or, for short, Bayesian Coherentism, is characterized by ...
The coherentist theory of justification provides a response to the sceptical challenge: even though ...
There are several formalisms that enhance Bayesian networks by including relations amongst individua...
Coherence is a measure of how much our beliefs hang together. Understanding is achieved when we see ...
We offer a complete characterization of the set of distributions that could be induced by local inte...
In order to deal with partial assessments and their extensions, we give a characterization of some m...
Starting from a likelihood function and a prior information represented by a belief function, a clos...
Bovens and Hartmann present an “impossibility result ” against Bayesian Coherentism. This result put...
This tutorial provides an overview of Bayesian belief networks. The sub-ject is introduced through a...
AbstractWe study the consistency of a number of probability distributions, which are allowed to be i...
Explicating the concept of coherence and establishing a measure for assessing the coherence of an in...
We construct a probabilistic coherence measure for information sets which determines a partial coher...
Coherentism in epistemology has long suffered from lack of formal and quantitative explication of th...
Coherence between propositions promises to fix the vexing circumstance of prior probabilities for su...
Bayesian Coherence Theory of Justification or, for short, Bayesian Coherentism, is characterized by ...
Bayesian Coherence Theory of Justification or, for short, Bayesian Coherentism, is characterized by ...
The coherentist theory of justification provides a response to the sceptical challenge: even though ...
There are several formalisms that enhance Bayesian networks by including relations amongst individua...
Coherence is a measure of how much our beliefs hang together. Understanding is achieved when we see ...
We offer a complete characterization of the set of distributions that could be induced by local inte...
In order to deal with partial assessments and their extensions, we give a characterization of some m...
Starting from a likelihood function and a prior information represented by a belief function, a clos...
Bovens and Hartmann present an “impossibility result ” against Bayesian Coherentism. This result put...
This tutorial provides an overview of Bayesian belief networks. The sub-ject is introduced through a...
AbstractWe study the consistency of a number of probability distributions, which are allowed to be i...
Explicating the concept of coherence and establishing a measure for assessing the coherence of an in...