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Behavior-based dual dynamic agent architecture
作者姓名:WU  Bo
作者单位:School of Information Science and Engineering,Central South University,Changsha 410083,China,School of Information Science and Engineering,Central South University,Changsha 410083,China,School of Information Science and Engineering,Central South University,Changsha 410083,China
基金项目:Project(2001AA4422200) supported by the Hi-Tech Research and Development Program of China
摘    要:The objective of the architecture is to make agent promptly and adaptively accomplish tasks in the realtime and dynamic environment. The architecture is composed of elementary level behavior layer and high level behavior layer. In the elementary level behavior layer, the reactive architecture is introduced to make agent promptly react to events( in the high level behavior layer, the deliberation architecture is used to enhance the intelligence of the agent. A confidence degree concept is proposed to combine the two layers of the architecture. An agent decision making process is also presented, which is based on the architecture. The results of experiment in RoboSoccer simulation team show that the proposed architecture and the decision process are successful.

收稿时间:8 July 2002
修稿时间:28 October 2002

Behavior-based dual dynamic agent architecture
Wu Bo , Wu Min and Cao Wei-hua.Behavior-based dual dynamic agent architecture[J].Journal of Central South University of Technology,2003,10(3):272-274.
Authors:Wu Bo  Wu Min and Cao Wei-hua
Affiliation:(1) School of Information Science and Engineering, Central South University, 410083 Changsha, China
Abstract:The objective of the architecture is to make agent promptly and adaptively accomplish tasks in the realtime and dynamic environment. The architecture is composed of elementary level behavior layer and high level behavior layer. In the elementary level behavior layer, the reactive architecture is introduced to make agent promptly react to events( in the high level behavior layer, the deliberation architecture is used to enhance the intelligence of the agent. A confidence degree concept is proposed to combine the two layers of the architecture. An agent decision making process is also presented, which is based on the architecture. The results of experiment in RoboSoccer simulation team show that the proposed architecture and the decision process are successful.
Keywords:RoboCup  agent architecture  deliberation  reactivity  agent  multi-agent system
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