Algorithm for Agent Collaborative Learning Task Allocation Based Graph Framework

Task allocation mechanism via coalition formation is one of key problems in the multi-agent systems. To solve the question of current single form of distance education system and passive teaching, the paper discusses learning task allocation question of learning system by the state space solving model and presents an algorithm for multi-agent collaborative learning task allocation based graph framework. In virtue of the self-regulation, social, and reactive properties, the paper gives the specific framework by analyzing the multi-agent function and solves better the disorder and chaos of the existing learning system. It solves the lack of interactive group and personalized problem. To facilitate the simulation, gives the task assignment model and algorithm.