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In many practical cases, the original task is divided into smaller, easier-to-complete tasks and assigned to different groups. Group role assignment (GRA) is dedicated to optimizing the performance of a group, which is not applicable to the multi-group role assignment (MGRA). Moreover, in dynamic scenes, the agents’ capabilities change over time, further complicating the problem. Based on the emerging and promising role-based collaboration (RBC) theory and its E-CARGO (Environments - Classes, Agents, Roles, Groups, and Objects) model, we formulate the adaptive MGRA problem, and propose a novel current state-based MGRA (CSB-MGRA) algorithm to keep the entire team productive. The constraints of the tasks are not the same due to their diverse characteristics and needs. Moreover, team members do not necessarily remain the same in the whole process, and staff transfers may occur between groups. A …