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Please use this identifier to cite or link to this item: http://hdl.handle.net/1808/162
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Title: Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems
Authors: Demirer, Riza
Shenoy, Prakash P.
Keywords: Asymmetric decision problems
Valuation networks
Sequential decision diagrams
Issue Date: Sep-2001
Publisher: Springer-Verlag
Extent: 147320 bytes
Type: Book chapter
Citation: Demirer, R. and P. P. Shenoy (2001), "Sequential Valuation Networks: A New Graphical Technique," in S. Benferhat and P. Besnard (eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Artificial Intelligence Vol. 2143, pp. 252--265, Springer-Verlag, Berlin.
Series/Report no.: Lecture Notes in Artificial Intelligence;Vol. 2143
Abstract: This paper deals with representation and solution of asymmetric decision problems. We describe a new graphical representation called sequential valuation networks, which is a hybrid of Covaliu and Oliver’s sequential decision diagrams and Shenoy’s asymmetric valuation networks. Sequential valuation networks inherit many of the strengths of sequential decision diagrams and asymmetric valuation networks while overcoming many of their shortcomings. We illustrate our technique by representing and solving a modified version of Covaliu and Oliver’s Reactor problem.
Description: This paper is a short (14-pp) version of a longer working paper titled "Sequential Valuation Networks for Asymmetric Decision Problems," University of Kansas School of Business Working Paper No. 286, January 2001, Revised June 2004, available from KU Scholarworks.
URI: http://hdl.handle.net/1808/162
ISBN: 3-540-42464-4
Appears in Collections:School of Business Articles

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