IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00753138.html
   My bibliography  Save this paper

Case-Based Optimization

Author

Listed:
  • Itzhak Gilboa

    (Northwestern University [Evanston])

  • David Schmeidler

    (TAU - Tel Aviv University, OSU - The Ohio State University [Columbus])

Abstract

An aspiration level adjustment rule is "realistic" if the aspiration level is (almost always) set to be an average of its previous value and the best average performance so far encountered. It is "ambitious" if the aspiration level is set to exceed the maximal average performance by some constant infinitely often. We analyze a case-based decision maker with a realistic-but-ambitious aspiration level adjustment rule facing a multi-armed bandit repeatedly. Though unaware of the payoff distributions corresponding to the arms of the bandit, the decision maker will asymptotically choose only expected-utility maximizing acts.

Suggested Citation

  • Itzhak Gilboa & David Schmeidler, 1996. "Case-Based Optimization," Post-Print hal-00753138, HAL.
    • Handle: RePEc:hal:journl:hal-00753138
    DOI: 10.1006/game.1996.0056
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Itzhak Gilboa & David Schmeidler, 1995. "Case-Based Decision Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 605-639.
    2. Itzhak Gilboa & David Schmeidler, 1993. "Case-Based Consumer Theory," Discussion Papers 1025, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    3. Kandori, Michihiro & Mailath, George J & Rob, Rafael, 1993. "Learning, Mutation, and Long Run Equilibria in Games," Econometrica, Econometric Society, vol. 61(1), pages 29-56, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. de Vries, F.P., 1999. "The Behavioral Firm and Its Internal Game : Evolutionary Dynamics of Decision Making," Other publications TiSEM 81ac857a-7637-49d8-a52e-3, Tilburg University, School of Economics and Management.
    2. Karandikar, Rajeeva & Mookherjee, Dilip & Ray, Debraj & Vega-Redondo, Fernando, 1998. "Evolving Aspirations and Cooperation," Journal of Economic Theory, Elsevier, vol. 80(2), pages 292-331, June.
    3. Ken Binmore & Larry Samuelson, 2010. "Muddling Through: Noisy Equilibrium Selection," Levine's Working Paper Archive 426, David K. Levine.
    4. Blonski, Matthias, 1999. "Social learning with case-based decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 38(1), pages 59-77, January.
    5. Falmagne, J. -C., 1996. "A stochastic theory for the emergence and the evolution of preference relations," Mathematical Social Sciences, Elsevier, vol. 31(2), pages 63-84, April.
    6. Binmore, Ken & Samuelson, Larry, 1997. "Muddling Through: Noisy Equilibrium Selection," Journal of Economic Theory, Elsevier, vol. 74(2), pages 235-265, June.
    7. Ken Binmore & Larry Samuelson, "undated". "Muddling Through: Moisy Equlibrium Selection," ELSE working papers 036, ESRC Centre on Economics Learning and Social Evolution.
    8. Bendor, J. & Mookherjee, D. & Ray, D., 1994. "Aspirations, Adaptive Learning and Cooperation in Reapeted Games," Papers 27, Boston University - Department of Economics.
    9. Cho, In-Koo & Matsui, Akihiko, 2005. "Learning aspiration in repeated games," Journal of Economic Theory, Elsevier, vol. 124(2), pages 171-201, October.
    10. Amit Pazgal, 1995. "Satisficing Leads to Cooperation in Mutual Interests Games," Discussion Papers 1126, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    11. Ponti, Giovanni, 2000. "Cycles of Learning in the Centipede Game," Games and Economic Behavior, Elsevier, vol. 30(1), pages 115-141, January.
    12. repec:bla:reviec:v:17:y:2009:i:si:p:327-337 is not listed on IDEAS
    13. Bosch-Domènech, Antoni & Vriend, Nicolaas J., 2013. "On the role of non-equilibrium focal points as coordination devices," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 52-67.
    14. H Peyton Young, 2014. "The Evolution of Social Norms," Economics Series Working Papers 726, University of Oxford, Department of Economics.
    15. Gilboa, Itzhak & Schmeidler, David & Wakker, Peter P., 2002. "Utility in Case-Based Decision Theory," Journal of Economic Theory, Elsevier, vol. 105(2), pages 483-502, August.
    16. Maarten C.W. Janssen, 1997. "Focal Points," Tinbergen Institute Discussion Papers 97-091/1, Tinbergen Institute.
    17. Michael Kosfeld, 2002. "Stochastic strategy adjustment in coordination games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(2), pages 321-339.
    18. Gale, John & Binmore, Kenneth G. & Samuelson, Larry, 1995. "Learning to be imperfect: The ultimatum game," Games and Economic Behavior, Elsevier, vol. 8(1), pages 56-90.
    19. Burkhard C. Schipper, 2004. "Submodularity and the evolution of Walrasian behavior," International Journal of Game Theory, Springer;Game Theory Society, vol. 32(4), pages 471-477, August.
    20. Sanjeev Goyal & Fernando Vega-Redondo, 2000. "Learning, Network Formation and Coordination," Econometric Society World Congress 2000 Contributed Papers 0113, Econometric Society.
    21. Siegfried Berninghaus & Hans Haller & Alexander Outkin, 2006. "Neural networks and contagion," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 11-11.

    More about this item

    Keywords

    Case-Based Optimization;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00753138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.