Title :
Agent-based modeling and simulation for open complex systems
Author :
Zhang, Guangjun ; Li, YaoDong
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
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.
Keywords :
computational complexity; environmental science computing; large-scale systems; software agents; agent-based meta-model; agent-based modeling and simulation; dynamic simulation; forest fire model; open complex systems; pattern-oriented modeling; Asia; Automatic control; Fires; Informatics; Intelligent agent; Intelligent robots; Intelligent systems; Prototypes; Robot control; Robotics and automation; agent-based modeling and simulation; forest fire model; meta-model; open complex systems; pattern-oriented modeling;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456783