Titlebook: Algorithmic Decision Theory; Second International Ronen I. Brafman,Fred S. Roberts,Alexis Tsoukiàs Conference proceedings 2011 Springer-Ver

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團(tuán)結(jié)

Irina Alam,Lara Dolecek,Puneet Guptarive several million elections (more than all the existing studies combined) from a publicly available data, the Netflix Prize dataset. The Netflix data is derived from millions of Netflix users, who have an incentive to report sincere preferences, unlike random survey takers. We evaluate each of th

BRIEF

Irina Alam,Lara Dolecek,Puneet Gupta 2-additive capacity step, the inconsistencies of the preferential information, given by the Decision Maker on the set of binary alternatives, is tested by using the MOPI conditions. Since a 2-additive capacity is related to all binary alternatives, this inconsistencies checking can be more complex

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Irina Alam,Lara Dolecek,Puneet Guptaediate reward functions, representing either individual payoffs in a multiagent problem or rewards with respect to different objectives. In this context, we focus on the determination of a policy that fairly shares regrets among agents or objectives, the regret being defined on each dimension as the