GRA (Group Role Assignment) is a method that uses E-CARGO/RBC model to formalize optimization problems in collaboration by specifying the roles and their associated performance metrics. It makes role-based agent evaluation feasible and influential. GRA creatively uses the sum of individual agent performances on roles to express a group’s performance, which makes the team/group performance tangible, evaluable, computable, and optimizable. It provides a brand-new perspective for investigating collaboration and social systems and opens a scope for the investigation of assignment problems. It allows researchers to clarify many practical problems from the viewpoint of group role assignment. GRA can be used in computational social simulation by assigning social meanings to the symbols of E-CARGO. Through simulations, GRA reveals many interesting social phenomena that traditional experiments cannot discover.
For more details, please refer [1] H. Zhu, E-CARGO and Role-Based Collaboration: Modeling and Solving Problems in the Complex World, Wiley-IEEE Press, NJ, USA, Dec. 2021.