Model for Team Formation for Reformation in Multiagent Systems

Team Formation for Reformation in Multiagent Domains like RoboCupRes ue

Team Formation for Reformation in Multiagent Domains Like RoboCupRescue

Team formation, i.e., allocating agents to roles within a team or subteams of a team, and the reorganization of a team upon team member failure or arrival of new tasks are critical aspects of teamwork. They are very important issues in RoboCupRescue where many tasks need to be done jointly. While empirical comparisons (e.g., in a competition setting as in RoboCup) are useful, we need a quantita...

Local Learning to Improve Organizational Performance in Networked Multiagent Team Formation

Networked multiagent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply chain networks and sensor networks. A common challenge in many networked multiagent systems is decentralized team formation among the spatially and logically extended agents. Even in cooperative multiagent systems, efficient team f...

Team Formation for Reformation

The utility of the multi-agent team approach for coordination of distributed agents has been demonstrated in a number of large-scale systems for sensing and acting like sensor networks for real-time tracking of moving targets (Modi et al. 2001) and disaster rescue simulation domains, such as RoboCup Rescue Simulation Domain (Kitano et al. 1999; Tadokoro et al. 2000) These domains contain tasks ...

R-COM-MTDP: Comparing and Forming Plans for Team Formation in Multiagent Systems

Team formation, i.e., allocating agents to roles within a team or subteams of a team, and the reorganization of a team upon team member failure or arrival of new tasks are critical aspects of teamwork. Despite significant progress, research in multiagent team formation and reorganization has failed to provide a rigorous analysis of the computational complexities of the approaches proposed or th...