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    Game Trees for Decision Analysis

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    TD97.pdf (150.0Kb)
    Issue Date
    1998-04
    Author
    Shenoy, Prakash P.
    Publisher
    Kluwer Academic Publishers
    Format
    153650 bytes
    Type
    Article
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    Abstract
    Game trees (or extensive-form games) were first defined by von Neumann and Morgenstern in 1944. In this paper, we examine the use of game trees for representing Bayesian decision problems. We propose a method for solving game trees using local computation. This method is a special case of a method due to Wilson for computing equilibria in 2-person games. Game trees differ from decision trees in the representations of information constraints and uncertainty. We compare the game tree representation and solution technique with other techniques for decision analysis such as decision trees, influence diagrams, and valuation networks.
    URI
    http://hdl.handle.net/1808/173
    ISSN
    0040-5833
    Collections
    • School of Business Scholarly Works [212]
    • Distinguished Professors Scholarly Works [918]
    Citation
    Shenoy, P. P., "Game Trees for Decision Analysis," Theory and Decision, Vol. 44, No. 2, April 1998, pp. 149--171.

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    785-864-8983
    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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