Journal article
Causality in the context of analytical models and numerical experiments
Accounting, organizations and society, Vol.39(7), pp.531-534
10/01/2014
DOI: 10.1016/j.aos.2013.09.004
Abstract
Intuition tends to guide model formulation, as it is generally impossible to consider all dimensions of a problem. The ability to surprise, heightening the focus on paradox and the contradiction of reality, is therefore more useful than a literal representation of reality. While numerical experiments are useful in exploring patterns not well suited to analytic approaches, features of the model that underlies the experiment determines the experiments' ability to provide insight and offer surprise. (C) 2013 Elsevier Ltd. All rights reserved.
Details
- Title: Subtitle
- Causality in the context of analytical models and numerical experiments
- Creators
- Ramji Balakrishnan - University of IowaMark Penno - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Accounting, organizations and society, Vol.39(7), pp.531-534
- Publisher
- Elsevier
- DOI
- 10.1016/j.aos.2013.09.004
- ISSN
- 0361-3682
- eISSN
- 1873-6289
- Number of pages
- 4
- Language
- English
- Date published
- 10/01/2014
- Academic Unit
- Accounting
- Record Identifier
- 9984380381302771
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