Multiagent resource allocation is a timely and exciting area of research at the interface of Computer Science and Economics. One of the main challenges in this area is the high co...
The most natural way of thinking about negotiation is probably a situation whereby each of the parties involved initially make a proposal that is particularly beneficial to themse...
Online communities increasingly rely on reputation information to foster cooperation and deter cheating. As rational agents can often benefit from misreporting their observations,...
Intelligent software personal assistants for human organizations are an active research area within the multiagent community. However, while many capabilities for these software p...
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...