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- W26586687 abstract "Bilateral bargaining is the most common economic transaction. Customarily, it is formulated as a non-cooperative game with uncertain-information and infinite actions (offers are real-value). Its automation is a long-standing open problem in artificial intelligence and no algorithmic methodology employable regardless of the kind of uncertainty is provided. In this paper, we provide the first step (with one-sided uncertainty) of an algorithmic game theory framework to solve bargaining with any kind of uncertainty. The idea behind our framework is to reduce, by analytical tools, a bargaining problem to a finite game and then to compute, by algorithmic tools, an equilibrium in this game." @default.
- W26586687 created "2016-06-24" @default.
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- W26586687 date "2010-01-01" @default.
- W26586687 modified "2023-09-23" @default.
- W26586687 title "An Algorithmic Game Theory Framework for Bilateral Bargaining with Uncertainty (Extended Abstract)" @default.
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