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.
Downloads: (external link) http://hdl.handle.net/1866/3998 (application/pdf) Our link check indicates that this URL is bad, the error code is: 500 Can't connect to papyrus.bib.umontreal.ca:443 (certificate verify failed) (http://hdl.handle.net/1866/3998 [303 See Other]--> https://papyrus.bib.umontreal.ca/xmlui/handle/1866/3998)