Shafer's evidence theory is a branch of the mathematics of uncertain reasoning that allows for novel possibilities to be conceived by a decision-maker. Many of its findings exhibit striking similarities with an alternative decision theory put forward by Shackle in the 1950s, before expected utility maximization monopolized the scene. Evidence theory does not attempt to formalize the emergence of novelties, but it is a suitable framework for reconstructing the formation of beliefs when novelties appear. An application to decision-making in the biotech and pharmaceutical industries illustrates the potentialities of evidence theory, as well as its shortcomings. Copyright Blackwell Publishing Ltd 2004.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Article provided by Blackwell Publishing in its journal Metroeconomica.
Volume (Year): 55 (2004) Issue (Month): 4 (November) Pages: 345-366 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Itzhak Gilboa & David Schmeidler, 1991.
"Updating Ambiguous Beliefs,"
Discussion Papers
924, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)