Agent-based modeling and simulation for open complex systems

Authors:
Guangjun Zhang;Yaodong Li
Affiliations:
Key Lab of Complex Systems & Intelligence Science, Institution of Automation, Chinese Academy of Sciences, Beijing, China;Key Lab of Complex Systems & Intelligence Science, Institution of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
Year:
2010

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Abstract

Agent-based modeling and simulation (ABMS) offers a promising approach to deal with complexities of open complex systems. This article proposed an approach of agent-based modeling and simulation enhanced with pattern-oriented modeling strategy for open complex systems. An agent-based meta-model and its relevant model structure provided a unifying model basis of pattern-oriented agent-based modeling and simulation. This article implemented the agent-based meta-model and its structure to build a prototype system model of forest fire, a typical open complex system. The forest fire model integrated with different patterns such as CA for fire spreading, and network for fire suppressing. Dynamic simulation of the forest fire model revealed influence of these interdisciplinary patterns towards forest fire system. The results show that pattern-oriented agent-based modeling and simulation can be applied for open complex systems effectively.