Decision-Making under Group Commitment

Coordination is essential for establishing and sustaining teamwork. Agents in a team must agree on their tasks plans, thus, group decision-making techniques are necessary to reach agreements teams. For instance, joint task, the agents can provide preferences alternative tasks, best could be selected by majority. Previous works assumed that only alternatives. However, when selecting task teamwork, it consider not of agents, but also probability being able execute if selected. In this paper, we propose novel model, decIsion-MAking under Group commItmeNt modEl (IMAGINE), computing optimal decision considering several parameters. Each agent provides: (1) utility each team, (2) associated cost executing alternative, (3) will task. The IMAGINE gathers these data from as well requisite quorum which minimum number required complete successfully. Given information, determines group. We evaluated comparing baseline method does requirement. show generally comes up with better than higher quorum, decisions makes are.