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Analogy in Decision-Making

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  • AMARANTE, Massimiliano

Abstract

In the context of decision making under uncertainty, we formalize the concept of analogy: an analogy between two decision problems is a mapping that transforms one problem into the other while preserving the problem's structure. We identify the basic structure of a decision problem, and provide a representation of the mappings that preserve this structure. We then consider decision makers who use multiple analogies. Our main results are a representation theorem for "aggregators" of analogies satisfying certain minimal requirements, and the identification of preferences emerging from analogical reasoning. We show that a large variety of multiple-prior preferences can be thought of as emerging from analogical reasoning.

Suggested Citation

  • AMARANTE, Massimiliano, 2009. "Analogy in Decision-Making," Cahiers de recherche 2009-13, Universite de Montreal, Departement de sciences economiques.
  • Handle: RePEc:mtl:montde:2009-13
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    File URL: http://hdl.handle.net/1866/3998
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    Cited by:

    1. Dumav, Martin & Stinchcombe, Maxwell B., 2014. "The von Neumann/Morgenstern approach to ambiguity," Center for Mathematical Economics Working Papers 480, Center for Mathematical Economics, Bielefeld University.

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