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- W2079562023 abstract "We study stochastic linear programming games: a class of stochastic cooperative games whose payoffs under any realization of uncertainty are determined by a specially structured linear program. These games can model a variety of settings, including inventory centralization and cooperative network fortification. We focus on the core of these games under an allocation scheme that determines how payoffs are distributed before the uncertainty is realized, and allows for arbitrarily different distributions for each realization of the uncertainty. Assuming that each player’s preferences over random payoffs are represented by a concave monetary utility functional, we prove that these games have a nonempty core. Furthermore, by establishing a connection between stochastic linear programming games, linear programming games and linear semi-infinite programming games, we show that an allocation in the core can be computed efficiently under some circumstances." @default.
- W2079562023 created "2016-06-24" @default.
- W2079562023 creator A5020438949 @default.
- W2079562023 date "2015-06-01" @default.
- W2079562023 modified "2023-09-27" @default.
- W2079562023 title "Stochastic linear programming games with concave preferences" @default.
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- W2079562023 doi "https://doi.org/10.1016/j.ejor.2014.12.025" @default.
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