HUGIN software is based on Bayesian networks and influence diagram technology, an advanced artificial intelligence technique widely used for supporting decision-making under uncertainty.
A Bayesian network is a graphical modeling tool which organizes the knowledge about a domain into a network of causes and effects between key variables. For each variable associated with a cause, probability is used to specify the extent that one variable affects the other. Bayesian networks can operate with multiple sources of information: historical data and the more subjective observations of experts and other data that is missing, uncertain or complicated but has valuable impact on the decision support model.
A cornerstone of Bayesian networks is they are not dependent on having all information about a problem in order to effectively model it. All variables in a network are encoded with probability. Therefore, Bayesian networks are extremely useful for modeling complex areas in which sound analysis is needed, but where uncertainty exists.
Programmed into computers, HUGIN Bayesian network technology automatically compiles and evaluates network information to deduce probability and identify the best solution to a problem or situation.
The unique capabilities of Bayesian Networks and the growing need for developing intelligent, high-performance solutions that can manage uncertainty make Bayesian network technology a key business intelligence technology for the future.