AAAI Publications, Twenty-Seventh AAAI Conference on Artificial Intelligence

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Composition Games for Distributed Systems: The EU Grant Games
Shay Kutten, Ron Lavi, Amitabh Trehan

Last modified: 2013-06-30

Abstract


We analyze ways by which people decompose into groups in distributed systems. We are interested in systems in which an agent can increase its utility by connecting to other agents, but must also pay a cost that increases with the size of the system. The right balance is achieved by the right size group of agents. We formulate and analyze three intuitive and realistic games and show how simple changes in the protocol can drastically improve the price of anarchy of these games. In particular, we identify two important properties for a low price of anarchy: agreement in joining the system, and the possibility of appealing a rejection from a system. We show that the latter property is especially important if there are some pre-existing constraints regarding who may collaborate (or communicate) with whom.

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