一种基于多Agent协作的下载模型

A Download Model Based on Multi-Agent Collaboration

提出了一种基于多Agent协作的下载模型,该模型根据协作规则,将下载任务智能、动态地分配给网络上多个Agent,利用多Agent协作快速、高效、灵活地完成下载任务。Agent的知识是在多Agent的协作过程中,通过学习自动产生、完善和优化的。

A download model based on multi-agent collaboration is offered to improve the deficiency of current download method. According to some collaboration rules, the model dispatched download tasks to agents on network. Through the collaboration of these agents, the download tasks can be accomplished rapidly, efficiently and flexibly. The knowledge of Agent is automatically generated, perfected and optimized by study in the course of multi-Agent collaboration.