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A note on case-based optimization with a non-degenerate similarity function

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  • Guerdjikova, Ani

Abstract

The paper applies the "realistic-ambitious" rule for adaptation of the aspiration level suggested by Gilboa and Schmeidler (1996) to a situation in which the similarity between the available acts is represented by a non-degenerate function. The paper shows that the optimality result obtained by Gilboa and Schmeidler (1996) in general fails. With a concave similarity function, the best corner act is chosen in the limit. Introducing convex regions into the similarity function improves the limit choice. A sufficiently fine similarity function allows to approximate optimal behavior with an arbitrary degree of precision.

Suggested Citation

  • Guerdjikova, Ani, 2004. "A note on case-based optimization with a non-degenerate similarity function," Papers 04-46, Sonderforschungsbreich 504.
    • Handle: RePEc:mnh:spaper:2696
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    File URL: https://madoc.bib.uni-mannheim.de/2696/1/dp04_46.pdf
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    References listed on IDEAS

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    1. Itzhak Gilboa & David Schmeidler, 1996. "Act similarity in case-based decision theory (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 9(1), pages 47-62.
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    More about this item

    Keywords

    Case-Based Decision Theory ; similarity ; optimal behavior;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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