Qing Zhou
School of Business Administration, China University of Petroleum-Beijing, Beijing, 102249, China
Qingqing Zhang
School of Business Administration, China University of Petroleum-Beijing, Beijing, 102249, China
Xiao Luo
School of Business Administration, China University of Petroleum-Beijing, Beijing, 102249, China
Xuan Cai
School of Business Administration, China University of Petroleum-Beijing, Beijing, 102249, China
ABSTRACT
This study mainly researches game rules, species strategy and interactive mechanism in online shopping platform and explains each game agent group cooperative or competitive behavior in the electronic commerce ecosystem. Then a simulation model based on multi-agent has been established, that in order to analysis consumer preferences effect on the electronic commerce ecosystem quantitatively and inquire into the trend of development of electronic commerce ecosystem through the simulation which is made by Starlogo simulation software.
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How to cite this article
Qing Zhou, Qingqing Zhang, Xiao Luo and Xuan Cai, 2013. Agent-Based Simulation for Online Shopping Platform Rules. Journal of Applied Sciences, 13: 2801-2806.
DOI: 10.3923/jas.2013.2801.2806
URL: https://scialert.net/abstract/?doi=jas.2013.2801.2806
DOI: 10.3923/jas.2013.2801.2806
URL: https://scialert.net/abstract/?doi=jas.2013.2801.2806
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