Influence Diagrams—Historical and Personal Perspectives

References

• Howard R. A., Matheson J. E., Howard R. A., Matheson J. E. Influence diagrams. Readings on the Princinples and Applications of Decision Analysis II (1984/2005) (Strategic Decision Group, Menlo Park, CA) 719–762Reprinted, Decision Anal. 2(3) 127–143Google Scholar
• Kelly C. W., Barklay S. A general Bayesian model for hierarachical inference. Organ. Behavior Human Peformance (1973) 10:388–403Crossref, Google Scholar
• Olmsted S. M. On representing and solving decision problems. (1983) . Ph.D. thesis, EES Department, Stanford University, Stanford, CAGoogle Scholar
• Pearl J. Reverend Bayes on inference engines: A distributed hierarchical approach. Proc. AAAI National Conf. AI (1982) Pittsburgh, PA:133–136Google Scholar
• Pearl J. Fusion, propagation, and structuring in belief networks. Artificial Intelligence (1986) 29:241–288Crossref, Google Scholar
• Pearl J.Probabilistic Reasoning in Intelligent Systems (1988) (Morgan Kaufmann, San Mateo, CA) Google Scholar
• Pearl J. Belief networks revisited. Artificial Intelligence (1993) 59:49–56Crossref, Google Scholar
• Pearl J.Causality: Models, Reasoning, and Inference (2000) (Cambridge University Press, New York) Google Scholar
• Rumelhart D. E., McClelland J. L. An interactive activation model of context effects in letter perception, part 2: The contextual enhancement effect and some tests and extensions of the model. Psych. Rev. (1982) 89:60–94Crossref, Google Scholar
• Shachter R. D. Evaluating influence diagrams. Oper. Res. (1986) 34(6):871–882Link, Google Scholar
• Wright S. Correlation and causation. J. Agricultural Res. (1921) 20:557–585Google Scholar