Abstract
It is quite complicated to develop a multi-agent simulation system. In this paper, we realize a simulation case in a simple way that just chooses some components and combines them; while other groups of people are responsible for developing these components. The “accessories library” consists of these relative independent functional components which are abstracted from various simulation cases. Therefore, we propose the “accessories library” and a platform based on multi-roles, which helps domain experts find their roles and create complex multi-agent systems easily. We further describe the process of conducting every role involved. In order to confirm the role-based platform and the respective processes, we take a football field case as an example to illustrate the implementation.
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Acknowledgements
The authors would like to thank the support for this work from the National Natural Science Foundation of China (Grant No. 71201077).
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Zhang, J., Xia, C., Zhang, W. (2015). Accessory-Based Multi-agent Simulating Platform on the Web. In: Cao, L., et al. Agents and Data Mining Interaction. ADMI 2014. Lecture Notes in Computer Science(), vol 9145. Springer, Cham. https://doi.org/10.1007/978-3-319-20230-3_5
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DOI: https://doi.org/10.1007/978-3-319-20230-3_5
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