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AAAI 2008

Bayesian Coalitional Games

Conference Paper Agents, Game Theory, Auctions, and Mechanism Design Artificial Intelligence

Abstract

We introduce Bayesian Coalitional Games1 (BCGs), a generalization of classical coalitional games to settings with uncertainties. We define the semantics of BCG using the partition model, and generalize the notion of payoffs to contracts among agents. To analyze these games, we extend the solution concept of the core under three natural interpretations— ex ante, ex interim, and ex post—which coincide with the classical definition of the core when there is no uncertainty. In the special case where agents are risk-neutral, we show that checking for core emptiness under all three interpretations can be simplified to linear feasibility problems similar to that of their classical counterpart.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
164060578625031646