Expected Utility Maximization and Attractiveness Maximization

  • Ka-man Lam
  • Ho-fung Leung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4088)


When a decision-maker needs to choose among a number of choices, each having a certain probability to happen, one of the traditional ways discussed in economics is to calculate the expected utility of each choice and chooses the choice with the maximum expected utility. However, most of the humans do not do so in real situations. One of the famous example is the Allais paradox. The reason why most of the people do not maximize the expected utility is that people have different attitudes towards risk in different situations and people are generally risk-averse. In this paper, we proposed a model of decision-making, which considers the risk attitude of a player, reputations of other players and the payoffs of the choices. We call this model attractiveness maximization. We find that the model of attractiveness maximization can be used to explain a situation, the Allais paradox, which violates the expected utility theory.


Risk Attitude Expected Utility Theory Expect Utility Maximization Risk Strategy High Attractiveness 


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  1. 1.
    Cambridge dictionaries online, http://dictionary.cambridge.org/
  2. 2.
    Allais, M.: Le comportement de l’homme rationnel devant le risque: 367 critique des postulats et axiomes de l’ecole americaine. Econometrica 21, 503–546 (1953)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Kahneman, D., Tversky, A.: Prospect theory: An analysis of decision under risk. Econometrica 47(2), 263–291 (1979)MATHCrossRefGoogle Scholar
  4. 4.
    von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior. Princeton University Press, Princeton (1944)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ka-man Lam
    • 1
  • Ho-fung Leung
    • 1
  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong Kong 

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