Cognitive cooperation in Multi-agent systems
Multi-agent系统中认知协作研究

The accomplishment of a complex problem usually involves cooperation between participators with different knowledge background concerned.Traditional telecommunication based on RPC or RMI could no longer very well satisfy the demand for effective mutual operation and real-time communication in cognitive inspiration in heterogeneous environment.While Multi-agent technology provides support for a much more powerful,autonomous,and open computing model,which is more suitable for complex applications such as cooperative working in distributed environment.This paper identifies inter-dependency between different sub problems(through problem division) as the major factor that influences cooperative relations in Multi-agent systems,based on which we propose an efficient means to measure cooperation coefficient(degree) between different agents.Then cognitive cooperation between agents which aims at collecting the wisdom of the cognitive community for a systematic solution to the overall problem was analyzed using Rough Set Theory,DTMDP and Information Cogntion Theory.