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.
Agent Collaborative Learning State-space Solving Searching Collaborative Learning Task Allocation
Shumian Yang Lianhai Wang Jian Liu
Shandong Computer Science Center Jinan, 250014, China Digital Media Enterprise Sector, Inspur Group Shandong Jinan, 250013, China
国际会议
北京
英文
215-218
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）