一种不完全信息下的多智能体协作机制

Approach to Coordinate Agents Under Incomplete Information

在分布式多智能体系统中,由于agent通常具有不完全信息,因此大大影响了系统的协作效果。该文采用博奔论和决策理论相结合的方法,将不完全信息下的agent协作转换成完全信息下agent协作问题来求解,提出了一种不完全信息下的agent协作机制。

In multi-agent systems, agents often face the problem of incomplete information, which greatly affects the outcome of cooperation. In this paper, an approach is presented to coordinate agents under incomplete information. The experiment shows that it is rather efficient.