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 multiagent 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.
CITATION STYLE
Zhang, J., Xia, C., & Zhang, W. (2015). Accessory-based multi-agent simulating platform on the web. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 9145, pp. 52–63). Springer Verlag. https://doi.org/10.1007/978-3-319-20230-3_5
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