A new method for tackling asymmetric decision problems
Autor: | Peter A. Thwaites, Jim Q. Smith |
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Rok vydání: | 2017 |
Předmět: |
FOS: Computer and information sciences
Mathematical optimization Weighted sum model Applied Mathematics Decision tree 02 engineering and technology Decision rule Decision problem 01 natural sciences Theoretical Computer Science Methodology (stat.ME) 010104 statistics & probability Artificial Intelligence 62C10 91B06 0202 electrical engineering electronic engineering information engineering Influence diagram 020201 artificial intelligence & image processing Graphical model 0101 mathematics Statistics - Methodology Software Mathematics Optimal decision Decision analysis |
Zdroj: | International Journal of Approximate Reasoning. 88:624-639 |
ISSN: | 0888-613X |
DOI: | 10.1016/j.ijar.2017.03.004 |
Popis: | 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, and describe an optimal decision strategy based on an efficient local computation message passing scheme. We briefly describe a method for producing a parsimonious decision CEG, analogous to the parsimonious ID, and touch upon the CEG-analogues of Shachter's barren node deletion and arc reversal for ID-based solution. 12 pages, 5 figures |
Databáze: | OpenAIRE |
Externí odkaz: |
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