基于agent框架DASH的Nash-Q学习agent开发支持

Masato Hibino, Takahiro Uchiya, I. Takumi, Tetsuo Kinoshita
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引用次数: 0

摘要

面向智能体的计算是一种通过多个智能体之间的协作来运行大规模系统的技术。具有学习能力的智能体称为“学习型智能体”。学习型智能体学习过去的动作,并动态地改变动作知识。学习型智能体可以解决智力活动中的复杂问题。然而,当用户想要使用学习代理时,在代理框架中对学习代理的开发几乎没有支持。因此,我们在DASH代理框架中引入了学习代理的开发支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development support of Nash-Q learning agent on agent framework DASH
Agent-oriented computing is a technique to run a big-scale system by cooperation among plural agents. An agent with learning ability is called a "Learning Agent". A learning agent learns past actions, and changes the movement knowledge dynamically. A learning agent can solve a complicated problem in intellectual action. However, when a user wants to use a learning agent, little support exists for the development of a learning agent in an agent framework. Therefore, we introduce the development support of learning agent into the DASH agent framework.
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