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.
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.
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.
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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