Bayesian networks

Influence diagram

An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which not only probabilistic inference problems but also decision making problems (following the maximum expected utility criterion) can be modeled and solved. ID was first developed in the mid-1970s by decision analysts with an intuitive semantic that is easy to understand. It is now adopted widely and becoming an alternative to the decision tree which typically suffers from exponential growth in number of branches with each variable modeled. ID is directly applicable in , since it allows incomplete sharing of information among team members to be modeled and solved explicitly. Extensions of ID also find their use in game theory as an alternative representation of the game tree. (Wikipedia).

Influence diagram
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Related pages

Directed acyclic graph | Flowchart | Uncertainty | Value of information | Belief propagation | Artificial intelligence | Decision tree | Conditional probability | Expected value of sample information | Expected value of perfect information | Bayesian network | Exponential growth | Game theory | Bayesian inference | Game tree