Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A hybrid approach to multi-agent decision-making
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
The multi-team formation defense of teamwork
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Coordination with collective and individual decisions
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
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We formulate the multi-team formation (M-TF) domain-independent problem and describe a generic solution for the problem. We illustrate the M-TF preference relation component in the domain of a large-scale disaster response simulation environment. The M-TF problem is the precursor of teamwork that explicitly addresses the achievement of several short time period goals, where the work to achieve the complete set of goals overwhelms the working capacity of the team formation space (all teams formed from the finite set of available agents). Decisions regarding team formation are made by the agents considering their own probabilistic beliefs and utility preferences about the whole (known) set of goals to achieve. The RoboCupRescue simulated large-scale disaster domain is used to illustrate the design of the preference relation domain-specific M-TF component.