Team Performance due to Agent Conflicts: E-CARGO Simulations
Haibin Zhu, Zhe Yu · 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · 2021
Team management is a highly complex decision-making procedure, which is normally accomplished by highly intelligent human personnel based on their knowledge, experience, communication skills, and wisdom. Task (Role) assignment is a crucial element of team management and can help decision-makers understand or predict future team performance.From the standpoint of the Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model as well as the Role-Based Collaboration (RBC) methodology, this paper uses four different approaches to conducting task assignment respectively: Group Role Assignment (GRA), GRA with Conflicting Agents on Roles (GRACAR), Best Agents for each Role (BAR), and BAR with Conflicting Agents (BARCA). After formalizations, we provide a comprehensive comparison among these methods of role assignments by simulations.The simulation results reveal interesting conclusions that help decision-makers understand the complexity of the assignment and choose a pertinent way when conducting team management.