Agent-Based Modeling and Simulation of Complex Distributed Systems

被引：0
|
作者：
Tianfield, Huaglory [1 ]
Tian, Jiang [2 ]
机构：
[1] Glasgow Caledonian Univ, Sch Engn & Comp, Cowcaddens Rd, Glasgow G4 0BA, Lanark, Scotland
[2] Univ Elect Sci & Technol China, Sch Management, Chengdu 610054, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
agent-based modeling; agent-based simulation; complex adaptive system; complex distributed system; multi-agent system;
D O I：
10.1109/WCICA.2008.4592960
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The complexity of Complex Distributed Systems (CODS) is essentially attributed to the inherent autonomy of the sub-systems and the dynamic intricate interactions among the sub-systems. Since Agent-Based Modeling and Simulation (ABMS) is good at modeling and simulating such systems where there are a large number of heterogeneous entities behaving independently, ABMS is well suitable for CODS. This paper identifies ABMS's main differences compared to conventional simulation approaches, and analyzes briefly some important ABMS platforms relevant to CODS. Finally, ABMS of biological systems is discussed as typical of CODS.
引用
收藏
页码：416 / +
页数：3
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