@Article{howard05a,
  author =	 {Ronald A. Howard and James E. Matheson},
  title =	 {Influence Diagrams},
  journal =	 {Decision Analysis},
  year =	 2005,
  volume =	 2,
  number =	 3,
  pages =	 {127--143},
  month =	 {September},
  abstract =	 {The article focuses on the probabilistic use of
                  influence diagrams. Influence diagram is at once
                  both a formal description of the problem that can be
                  treated by computers and a representation easily
                  understood by people in all walks of life and
                  degrees of technical proficiency. Because of its
                  generality, the influence diagram is an important
                  tool not only for decision analysis, but for any
                  formal description of relationship and thus for all
                  modeling work. An influence diagram is a way of
                  describing the dependencies among aleatory variables
                  and decisions. An influence diagram can be used to
                  visualize the probabilistic dependencies in a
                  decision analysis and to specify the states of
                  information for which independencies can be assumed
                  to exist. The automated system, not the user,
                  develops the decision tree from the influence
                  diagram specifications.},
  keywords = 	 {bayesian},
  url =		 {http://jmvidal.cse.sc.edu/library/howard05a.pdf},
  doi =		 {10.1287/deca.1050.0020},
  googleid =	 {dnF1DxquldoJ:scholar.google.com/},
  cluster = 	 {15750686698749915510}
}