Graphical Models as Languages for Computer Assisted Diagnosis and Decision Making
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Representing asymmetric decision problems using coarse valuations
Decision Support Systems
Node deletion sequences in influence diagrams using genetic algorithms
Statistics and Computing
Sequential influence diagrams: A unified asymmetry framework
International Journal of Approximate Reasoning
A forward-backward Monte Carlo method for solving influence diagrams
International Journal of Approximate Reasoning
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Representing and solving asymmetric Bayesian decision problems
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Formulating Asymmetric Decision Problems as Decision Circuits
Decision Analysis
Simulation method for solving hybrid influence diagrams in decision making
Proceedings of the Winter Simulation Conference
Evaluating asymmetric decision problems with binary constraint trees
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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We compare four graphical techniques for representation and solution of asymmetric decision problems-decision trees, influence diagrams, valuation networks, and sequential decision diagrams. We solve a modified version of Covaliu and Oliver's Reactor problem using each of the four techniques. For each technique, we highlight the strengths, weaknesses, and some open issues that perhaps can be resolved with further research.