
Search for Choquet-optimal paths under uncertainty
Galand, Lucie; Perny, Patrice (2007), Search for Choquet-optimal paths under uncertainty, in van der Gaag, Linda, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence ( 2007 ), AUAI Press, p. 125-132
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Type
Communication / ConférenceDate
2007Conference country
CANADABook title
Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence ( 2007 ); Proceedings of the Twenty-Third Conference Conference on Uncertainty in Artificial Intelligence ( 2007 )Book author
van der Gaag, LindaPublisher
AUAI Press
ISBN
0-9749039-3-0
Pages
125-132
Metadata
Show full item recordAbstract (EN)
Choquet expected utility (CEU) is one ofthe most sophisticated decision criteria usedin decision theory under uncertainty. Itprovides a generalisation of expected utilityenhancing both descriptive and prescriptivepossibilities. In this paper, we investigatethe use of CEU for path-planning under uncertainty with a special focus on robust solutions. We first recall the main features ofthe CEU model and introduce some examples showing its descriptive potential. Thenwe focus on the search for Choquet-optimalpaths in multivalued implicit graphs wherecosts depend on different scenarios. Afterdiscussing complexity issues, we propose twodifferent heuristic search algorithms to solvethe problem. Finally, numerical experimentsare reported, showing the practical efficiencyof the proposed algorithms.Subjects / Keywords
decision theory; Choquet expected utilityRelated items
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