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Presentation1

  1. 1. Conclusion: -Influence diagrams represent the relationshipsbetween variables. These relationships are important because they reflect the analysts, or the decision maker’s, knowledge about a problem. -The construction of such a model often involves collaboration between an analyst and the decision maker. -This collaboration represents an exercise in knowledge acquisition — the analyst attempts to construct a model that reflects the decision maker’s understanding of the problem domain.
  2. 2. THE USAGE OF INFLUENCE DIAGRAM• building a common understanding of “how things work”;• facilitating communication among technical experts, decision makers and stakeholders;• integrating knowledge from different sources in decision making (e.g., science, TEK, etc.);• encouraging disciplined thinking about cause and effect relationships;• being explicit about uncertainty, in particular, emphasizing the existence of competing hypotheses and facilitating informed debate about them;• defining evaluation criteria;• determining modeling and information needs directly related to the evaluation criteria;• structuring subsequent quantitative modeling (especially when constructed under more formalized rules to describe inter-related conditional probabilities);• documenting the basis for and improving the transparency of expert judgments
  3. 3. Influence diagrams are particularly helpful• when problems have a high degree of conditional independence,• when compact representation of extremely large models is needed,• when communication of the probabilistic relationships is important, or• when the analysis requires extensive Bayesian updating

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