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Information sets in decision theory

  • Prakash P. Shenoy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 747)

Abstract

Information sets were first defined by von Neumann and Morgenstern in 1944 in the context of extensive form games. In this paper, we examine the use of information sets for representing Bayesian decision problems. We call a decision tree with information sets a game tree. We also describe a roll-back procedure for solving game trees using local computation.

Keywords

Decision Tree Expected Profit Tree Representation Decision Node Game Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Prakash P. Shenoy
    • 1
  1. 1.School of BusinessUniversity of KansasLawrenceUSA

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