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Influence Diagram Retrospective

Author

Listed:
  • Ronald A. Howard

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305-4026)

  • James E. Matheson

    (Department of Management Science and Engineering, and SmartOrg, Inc., 855 Oak Grove Avenue, Suite 202, Menlo Park, California 94025)

Abstract

Since the invention of Influence diagrams in the mid-1970s, they have become a ubiquitous tool for representing uncertain situations. This single diagram replaced awkward manipulations of decision trees and nature’s trees with a single representation that displays both the sequential and informational structure of decisions. The diagram permits high-level graphic communication, clear assessments and computation in a single graphical system. This retrospective discusses the evolution and application of influence diagrams.

Suggested Citation

  • Ronald A. Howard & James E. Matheson, 2005. "Influence Diagram Retrospective," Decision Analysis, INFORMS, vol. 2(3), pages 144-147, September.
    • Handle: RePEc:inm:ordeca:v:2:y:2005:i:3:p:144-147
    DOI: 10.1287/deca.1050.0050
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    Citations

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    Cited by:

    1. Bolger, Fergus & Wright, George, 2017. "Use of expert knowledge to anticipate the future: Issues, analysis and directions," International Journal of Forecasting, Elsevier, vol. 33(1), pages 230-243.
    2. Wändi Bruine De Bruin & Ümit Güvenç & Baruch Fischhoff & Christopher M. Armstrong & Denise Caruso, 2009. "Communicating About Xenotransplantation: Models and Scenarios," Risk Analysis, John Wiley & Sons, vol. 29(8), pages 1105-1115, August.
    3. Bielza, Concha & Gómez, Manuel & Shenoy, Prakash P., 2011. "A review of representation issues and modeling challenges with influence diagrams," Omega, Elsevier, vol. 39(3), pages 227-241, June.
    4. Barry R. Cobb, 2007. "Influence Diagrams with Continuous Decision Variables and Non-Gaussian Uncertainties," Decision Analysis, INFORMS, vol. 4(3), pages 136-155, September.
    5. Rashid, H.S.J. & Place, C.S. & Mba, D. & Keong, R.L.C. & Healey, A. & Kleine-Beek, W. & Romano, M., 2015. "Reliability model for helicopter main gearbox lubrication system using influence diagrams," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 50-57.
    6. Chang, Suk-Gwon, 2015. "A structured scenario approach to multi-screen ecosystem forecasting in Korean communications market," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 1-20.
    7. Pedro Bonilla-Nadal & Andrés Cano & Manuel Gómez-Olmedo & Serafín Moral & Ofelia Paula Retamero, 2022. "Using Value-Based Potentials for Making Approximate Inference on Probabilistic Graphical Models," Mathematics, MDPI, vol. 10(14), pages 1-27, July.
    8. Abdildin, Yerkin G. & Abbas, Ali E., 2016. "Analysis of decision alternatives of the deep borehole filter restoration problem," Energy, Elsevier, vol. 114(C), pages 1306-1321.

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