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Prerequisites: Probability, Conditional Expectation, Knowledge

  • Joachim Rosenmüller
Part of the Theory and Decision Library book series (TDLC, volume 25)

Abstract

An introductory chapter on probability may appear to be a somewhat daring attempt since its content cannot be in any way considered to be sufficiently comprehensive or desirably limited. The superficial argument to the extent that a great deal of probabilistic notation and apparatus is necessary in order to enter game theoretical territory, though having some strength, could be dealt with in a possibly more satisfactory manner. To just introduce the notational conventions would require much less effort than has been invested within this chapter, and in order to study the basic models of probability it might be much more advisable to consult one of the competent volumes in probability that are available in abundance on various levels of intricacy.

Keywords

Conditional Probability Markovian Process Common Knowledge Conditional Expectation Sample Space 
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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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Joachim Rosenmüller
    • 1
  1. 1.University of BielefeldGermany

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