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Abstract though dealing with different numbers of agents, share Negotiation among multiple agents remains an important topic of research in Distributed Arti-ficial Intelligence (DAI). Most previous work this subject, however, has focused on bilateral negotiation, deals that are reached between two agents. There has also been research on n-agent agreement which has considered "consensus mech-anisms " (such as voting), that allow the full group to coordinate itself. These group decision-making techniques, however, assume that the entire group will (or has to) coordinate its actions. Sub-groups cannot make sub-agreements that exclude other members of the group. In some domains, however, it may be possible for beneficial agreements to be reached among sub-groups of agents, who might be individually moti-vated to work together to the exclusion of others outside the group. This paper considers this more general case of n-agent coalition formation. We present a simple coalition formation mechanism that uses cryptographic techniques for subadditive Task Oriented Domains. The mechanism is effi-cient, symmetric, and individual rational. When the domain is also concave, the mechanism also satisfies coalition rationality.
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