由于强化学习理论的限制，在多智能体系统中马尔科夫过程模型不再适用，因此不能把强化学习直接用于多智能体的协作学习问题。

Due to the theoretical limitation that it assumes that an environment is Markovian, traditional reinforcement learning algorithms cannot be applied directly to multi-agent system.

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源于分布式人工智能的多智能体系统，以其突出的灵活性和适用性，被应用于多机器人协调系统领域。

Multi-agent system based on distributed AI has a lot of outstanding performance such as flexible, applied, etc. So it has been applied in many fields.

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BDI模型是智能体设计的一种成熟结构，本文将BDI模型应用于多机器人智能体系统设计中。

In this paper, the BDI theory is applied to the design of multi robot systems.

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