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Quitting CertaintiesA Bayesian Framework Modeling Degrees of Belief$
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Michael G. Titelbaum

Print publication date: 2012

Print ISBN-13: 9780199658305

Published to Oxford Scholarship Online: May 2013

DOI: 10.1093/acprof:oso/9780199658305.001.0001

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The advantages of modeling

The advantages of modeling

Chapter:
(p.299) 13 The advantages of modeling
Source:
Quitting Certainties
Author(s):

Michael G. Titelbaum

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199658305.003.0013

This chapter reviews and evaluates the modeling methodology that has been applied over the course of the book. It examines how the book’s modeling approach was crucial to constructing and defending the Certainty-Loss Framework (CLF), a modeling framework capable of representing rational requirements on agents in stories involving memory loss and context-sensitivity. A modeling methodology also has general advantages: It forces us to be explicit about the choices that go into building a model; it focuses our attention on the principles bridging a model with the modeled world; and it allows us to narrow the domain of potential counterexamples to our view. In the best case, a modeling project can also generate new insights and lead us to a deeper understanding of the phenomena being modeled.

Keywords:   modeling, Certainty-Loss Framework, rationality, bridge principles

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