Thwaites, PA orcid.org/0000-0001-9700-2245 and Smith, JQ (2017) A New Method for tackling Asymmetric Decision Problems. International Journal of Approximate Reasoning, 88. pp. 624-639. ISSN 0888-613X
Abstract
Chain Event Graphs are probabilistic graphical models designed especially for the analysis of discrete statistical problems which do not admit a natural product space structure. We show here how they can be used for decision analysis through designation of some nodes as decision nodes, and the addition of utilities. We provide a local propagation algorithm for finding an optimal decision strategy and maximising expected utility. We also compare CEGs with Influence diagrams, Valuation Networks, Sequential decision diagrams, Sequential influence diagrams and Decision circuits for the representation and analysis of asymmetric decision problems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier Inc. This is an author produced version of a paper published in International Journal of Approximate Reasoning. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Asymmetric decision problem; Chain event graph; Influence diagram |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/M018687/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Mar 2017 12:38 |
Last Modified: | 09 May 2019 12:55 |
Published Version: | https://doi.org/10.1016/j.ijar.2017.03.004 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ijar.2017.03.004 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113647 |