DocumentCode :
2475935
Title :
Agent-based modeling and simulation of Complex Distributed Systems
Author :
Tianfield, Huaglory ; Tian, Jiang
Author_Institution :
Sch. of Eng. & Comput., Glasgow Caledonian Univ., Glasgow
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
416
Lastpage :
421
Abstract :
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 ABMSpsilas 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.
Keywords :
distributed processing; multi-agent systems; agent-based modeling; agent-based simulation; complex distributed systems; Biological system modeling; Biological systems; Biology computing; Computational modeling; Discrete event simulation; Distributed computing; Equations; Humans; Mathematical model; Object oriented modeling; agent-based modeling; agent-based simulation; complex adaptive system; complex distributed system; multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4592960
Filename :
4592960
Link To Document :
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