Title :
Policy-Driven Agent Social
Author :
Peng, Yan-bin ; Gao, Ji ; Hu, Jun ; Liao, Bei-shui
Author_Institution :
Department of Computer Science and Engineering, Zhejiang University, Hangzhou 310027, China; E-MAIL: pnao126@126.com
Abstract :
Policy-driven system is a new research point. The system can gain autonomous ability through policy. In this paper, we present a system of policy-driven agent social, called PDAS4, which emphases on impose the policy-driven mechanism into multi-agents system, provides a platform to autonomous control the whole process of agent social activities. The main point of this paper is to propose an approach of policy-driven mechanism to control the cooperation and service execution of agents. In addition, an implementation of this system was developed and a simulated test was conducted successfully.
Keywords :
Multi-agents; PDAS4; agent social; federation; policy-driven; Computer science; Control systems; Humans; Intelligent agent; Logic; Monitoring; Multiagent systems; Process control; Software agents; System testing; Multi-agents; PDAS4; agent social; federation; policy-driven;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1526970