Applying intelligence amplification in decision making

This thesis proposes an intelligence amplification (IA) framework to apply IA in decision making. With this IA framework, IA is applied to solve planning problems of synchromodal transport in the simulated environment. Through the case study, the proposed IA framework shows its effectiveness in solving the task assignment to achieve the human-intelligent agent collaboration. Besides, this thesis proves IA's benefits in improving decision and shows that humans' decision making performance is enhanced by IA.