A Goal Model of Autonomous Agent Organization

When a task is received by an agent organization in multi-agent system (MAS), it should be partitioned into multiple subtasks which will be assigned to suitable agents to be pursued. A goal model of autonomous agent organization (GMAAO) is proposed in which a trigger mechanism of event is added to the traditional "AND/OR" task decomposition tree to deal with the event-driven feature of MAS, and the task decomposition method can reduce the task cost greatly. A case study shows that the creation of goal instances is triggered by event dynamically, and the task overhead can be reduced since the task decomposition path with lowest overhead can be chosen.