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Decision Making with Barely Any Information: The Role of Mixed Strategies

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Maximum-Entropy and Bayesian Methods in Science and Engineering

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 31-32))

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Abstract

At the 6th annual Maximum Entropy Workshop Carlos Rodrigues presented an amusing problem in decision theory. In this problem the normal application of expected utility theory leads to an unacceptable conclusion. We restate the problem, and the “paradox.” We then give an “almost but not quite exactly unlike” formulation in which the paradox is resolved. We then pursue the new formulation to show how adopting a mixed strategy makes it possible to “certainly” gain while playing the game. We next show that in a suitable limit the “expected gain” goes to zero. Finally, we speculate on the possible application of these ideas to situations with “great uncertainty.”

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Literature cited

  • RODRIGUEZ [ 1986 ], Carlos, “title?” in Proceedings of the Sixth Annual Workshop on Maximum Entropy and Bayesian Methods, ed. C. Ray Smith and Gary Erickson. Reidel. Year?

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  • KANTOR [ 1977 ], Frederick W. Information Mechanics. John Wiley and Sons. NY

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© 1988 Kluwer Academic Publishers

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Kantor, P.B., Kantor, M.J. (1988). Decision Making with Barely Any Information: The Role of Mixed Strategies. In: Erickson, G.J., Smith, C.R. (eds) Maximum-Entropy and Bayesian Methods in Science and Engineering. Fundamental Theories of Physics, vol 31-32. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-9054-4_26

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  • DOI: https://doi.org/10.1007/978-94-010-9054-4_26

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-9056-8

  • Online ISBN: 978-94-010-9054-4

  • eBook Packages: Springer Book Archive

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