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Interactive construction of graphical decision models based on causal mechanisms

Lu, TC and Druzdzel, MJ (2009) Interactive construction of graphical decision models based on causal mechanisms. European Journal of Operational Research, 199 (3). 873 - 882. ISSN 0377-2217

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We propose a framework for building graphical decision models from individual causal mechanisms. Our approach is based on the work of Simon [Simon, H.A., 1953. Causal ordering and identifiability. In: Hood, W.C., Koopmans, T.C. (Eds.), Studies in Econometric Method. Cowles Commission for Research in Economics. Monograph No. 14. John Wiley and Sons Inc., New York, NY, pp. 49-74 (Ch. III)], who proposed a causal ordering algorithm for explicating causal asymmetries among variables in a self-contained set of structural equations. We extend the causal ordering algorithm to under-constrained sets of structural equations, common during the process of problem structuring. We demonstrate that the causal ordering explicated by our extension is an intermediate representation of a modeler's understanding of a problem and that the process of model construction consists of assembling mechanisms into self-contained causal models. We describe ImaGeNIe, an interactive modeling tool that supports mechanism-based model construction and demonstrate empirically that it can effectively assist users in constructing graphical decision models. © 2009 Elsevier B.V. All rights reserved.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Lu, TC
Druzdzel, MJmarek@sis.pitt.eduDRUZDZEL0000-0002-7598-2286
Date: 16 December 2009
Date Type: Publication
Journal or Publication Title: European Journal of Operational Research
Volume: 199
Number: 3
Page Range: 873 - 882
DOI or Unique Handle: 10.1016/j.ejor.2009.01.056
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0377-2217
Date Deposited: 12 Jul 2011 14:20
Last Modified: 26 Jan 2021 18:10


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