Design Environment of Intelligent Multiagent Systems
Design Environment of Intelligent Multiagent Systems
复制标题
智能多智能体系统的设计环境
DOI：
10.1109/icis.2013.6607848
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Tetsuo Kinoshita
中科院分区：
文献类型：
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作者：
Takahiro Uchiya;Syo Itazuro;Ichi Takumi;Tetsuo Kinoshita
面向智能体计算是一种根据行为知识生成自主操作的智能体的技术。此外，智能体还可以具有一种称为“学习”技能的特性。通过实现“学习”技能，可以期望更有效地运行代理。在本研究中，我们的目的是支持智能体设计者设计和开发具有“学习”技能的智能智能体系统。利用基于知识库的代理框架DASH框架，提出了具有学习机制的代理系统交互设计环境。该框架使智能体设计者能够在不需要很高专业知识的情况下设计和实现学习智能体，从而减轻了设计者的负担。在本文中，我们对DASH框架、Q-学习、利润分享和提出的设计环境进行了说明。并通过实验验证了该方法的有效性。
The agent-oriented computing is a technique for generating the agent who operates autonomously according to the behavior knowledge. Moreover, agent can have the characteristic called "Learning” skill. More efficient operation of agents can be expected by realizing "Learning" skill. In this research, our aim is to support agent designer who designs and develops the intelligent agent system equipped with “Learning” skill. We propose interactive design environment for agent system with learning mechanism using repository-based agent framework called DASH framework. Proposed framework enables agent designer to design and implement the learning agents without highly expertise, therefore we can reduce the designer's burden. In this paper, we explain the DASH framework, Q-learning, Profit Sharing and proposed design environment. Moreover we show the effectiveness of the proposal method through the some experiments.