Intelligent Tutoring Games with Agent Modeling

摘要

Business strategy educators increasingly rely on simulation games to provide students with experience in strategic decision making. Business games however often limit interaction to operational decision making so discovering the value of alternative strategies in different situations may take a lot of time. Furthermore, to ensure students can grasp the system complexity at this operational level, game scenarios remain relatively simple. We hypothesize that business game effectiveness for strategy education can increase if players instead create teams of delegate agents to appropriately handle operations in more complex settings. To test this we are working on an intelligent learning environment that will help players create successful teams of agents to handle operations.