This paper addresses a route selection problem under uncertainty. The structure of the problem can be captured as an ordinal shortest path problem of a directed graph. However, the length of each arc of the graph is an uncertain random variable and its probability distribution is unknown to the decision maker; instead, information on the distribution is dispersed among the crowd. Under this set of circumstances, this paper provides a prediction market game for gathering the dispersed information from the crowd and thereby solving the reformulated problem. Further, the proposed gaming approach is applied to a simple real-life problem to understand how it works. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Mizuyama, H., Torigai, S., & Anse, M. (2014). A prediction market game to route selection under uncertainty. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8264 LNCS, pp. 222–229). Springer Verlag. https://doi.org/10.1007/978-3-319-04954-0_26
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