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中文摘要：
为了实现Agent灵活、自主的运行，Agent必须具有很强的学习能力。在BDI模型基础上，引入Q学习方法调整Agent的动作策略。提出了基于Q学习的自主Agent模型，给出了模型的结构及形式化描述。分析了Agent的学习过程。以方格世界的搜索问题为例，验证了模型的正确性和有效性。
英文摘要：
Agent is characterized by autonomy, reactivity, sociality, and activity. As an autonomous individual, agent has the ability to control self-behaviors and self-status through learning from the environment. Q-Learning has been introduced to the traditional model of BDI, and the paper suggests an autonomous agent model based on Q-Learning, describes the structure and formalized description of the suggested model, analyzes the processing of Q-Learning in the model. Through the experiment of searching in the grid world, it indicates the validity of the suggested model and the learning ability of the agent.
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