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Entropic Penalties in Finite Games

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  • S. Flåm
  • E. Cavazzuti

Abstract

The main objects here are finite-strategy games in which entropic terms are subtracted from the payoffs. After such subtraction each Nash equilibrium solves an explicit, unconstrained, nonlinear system of smooth equations. That system, while characteristic of perturbed best responses, is amenable in computation. It also facilitates analysis of fictitious play, learning by reinforcement, and evolutionary dynamics. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • S. Flåm & E. Cavazzuti, 2005. "Entropic Penalties in Finite Games," Annals of Operations Research, Springer, vol. 137(1), pages 331-348, July.
    • Handle: RePEc:spr:annopr:v:137:y:2005:i:1:p:331-348:10.1007/s10479-005-2264-5
    DOI: 10.1007/s10479-005-2264-5
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    References listed on IDEAS

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    1. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
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    4. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, December.
    5. Vega-Redondo, Fernando (ed.), 1996. "Evolution, Games, and Economic Behaviour," OUP Catalogue, Oxford University Press, number 9780198774723, Decembrie.
    6. Cramer,J. S., 2011. "Logit Models from Economics and Other Fields," Cambridge Books, Cambridge University Press, number 9780521188036.
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    Cited by:

    1. Francesco Caruso & Maria Carmela Ceparano & Jacqueline Morgan, 2022. "Asymptotic Behavior of Subgame Perfect Nash Equilibria in Stackelberg Games," CSEF Working Papers 661, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

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