The library is designed using object oriented approach where decision-making is implemneted as a method of dedicated object: decision-maker. The library contains many commonly known decision-makers such as estimators and Bayesian filters. Support for control-oriented decision-makers (LQG control) is under development.
Design philosophy of the toolbox is tocreate a close image of the underlying theory. The library is build from objects representing random variables, probability density functions (pdfs) and Bayesian models. Calculus with probability density functions is implemented eiter as:
The library also contain supporting classes for running experiments with Bayesian decision makers, such as:
For more information see project page: http://mys.utia.cas.cz:1800/trac/bdm