Add to ORKGThis report demonstrates the application of Bayesian networks for modelling and reasoning about uncertainties. A scenario for naval anti-surface warfare is constructed and Bayesian networks are used to represent and update uncertainties encountered in the process of 'situation assessment'. Concepts from information theory are used to provide a measure of uncertainty and understand its flow in a Bayesian network. This in turn yields analytical methods to formulate various effectiveness measures
AbstractThreat evaluation is an uncertainty process to protect the assets against the various enemy ...
Bayesian networks are a popular mechanism for dealing with uncertainty in complex situations. They a...
In this paper, we claim that software development will do well by explicit modeling of its uncertain...
Bayesian network, decision support, information fusion In this paper we consider a typical military ...
Royal Dutch Navy on how a Bayesian network can be used to introduce more transparency in decision ai...
Any conclusion about a system’s hidden behaviour based on the observation of findings emanating from...
In this paper, we discuss how Bayesian networks can be used to develop automated situation-assessmen...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
Agena Ltd and the RADAR group have been applying Bayesian Networks (BNs) to risk assessment problems...
We live in an era where every human entity, from a simple citizen to the head of an entity as large ...
We present in detail a quantitative Bayesian Belief Network (BBN) model of the use of an information...
International audienceUnderstanding the sources of, and quantifying the magnitude of, uncertainty ca...
In this report a new Attack agent Bayesian network for Situation Assessment in Beyond Visual Range ...
Failing to communicate current knowledge limitations, that is, epistemic uncertainty, in environment...
Failing to communicate current knowledge limitations, that is, epistemic uncertainty, in environment...
AbstractThreat evaluation is an uncertainty process to protect the assets against the various enemy ...
Bayesian networks are a popular mechanism for dealing with uncertainty in complex situations. They a...
In this paper, we claim that software development will do well by explicit modeling of its uncertain...
Bayesian network, decision support, information fusion In this paper we consider a typical military ...
Royal Dutch Navy on how a Bayesian network can be used to introduce more transparency in decision ai...
Any conclusion about a system’s hidden behaviour based on the observation of findings emanating from...
In this paper, we discuss how Bayesian networks can be used to develop automated situation-assessmen...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
Agena Ltd and the RADAR group have been applying Bayesian Networks (BNs) to risk assessment problems...
We live in an era where every human entity, from a simple citizen to the head of an entity as large ...
We present in detail a quantitative Bayesian Belief Network (BBN) model of the use of an information...
International audienceUnderstanding the sources of, and quantifying the magnitude of, uncertainty ca...
In this report a new Attack agent Bayesian network for Situation Assessment in Beyond Visual Range ...
Failing to communicate current knowledge limitations, that is, epistemic uncertainty, in environment...
Failing to communicate current knowledge limitations, that is, epistemic uncertainty, in environment...
AbstractThreat evaluation is an uncertainty process to protect the assets against the various enemy ...
Bayesian networks are a popular mechanism for dealing with uncertainty in complex situations. They a...
In this paper, we claim that software development will do well by explicit modeling of its uncertain...