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
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