Introduction Cost-effectiveness analysis (CEA) is used increasingly in medicine to determine
whether the health benefit of an intervention is worth the economic cost. Decision trees, the …

This paper presents decision analysis networks (DANs) as a new type of probabilistic
graphical model. Like influence diagrams (IDs), DANs are much more compact and easier to …

While decision trees are a popular formal and quantitative method for determining an
optimal decision from a finite set of choices, for all but very simple problems they are …

We show how to integrate a variable elimination approach to solving influence diagrams
with a value iteration approach to solving finite-horizon partially observable Markov decision …

Team assembly is an important issue when collaborative or cooperative activities between
people are carried out. In the educational context, it seems relevant to us to consider in the …

OpenMarkov is a Java open-source tool for creating and evaluating probabilistic graphical
models, including Bayesian networks, influence diagrams, and some Markov models. With …

OpenMarkov is an open-source software tool for probabilistic graphical models. It has been
developed especially for medicine, but has also been used to build applications in other …

An influence diagram is a graphical model of a Bayesian decision problem that is solved by
finding a strategy that maximizes expected utility. When an influence diagram is solved by …

OpenMarkov is an open-source software tool for probabilistic graphical models. It has been
developed especially for medicine, but has also been used to build applications in other …

Influence diagrams are graphical models used to represent and solve decision-making
problems under uncertainty. The solution of an influence diagram, a strategy, is traditionally …