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Issue No. 02 - April-June (2013 vol. 6)
ISSN: 1939-1374
pp: 177-185
Ding Wen , National Unverisity of Defense Technology, Changsha
Yong Yuan , Chinese Academy of Sciences, Beijing
Xia-Rong Li , Chinese Academy of Sciences, Beijing
This paper addresses issues related to the development of a computational theory and corresponding methods for studying complex socioeconomic systems. We propose a novel computational framework called ACP (Artificial societies, Computational experiments, and Parallel systems), targeting at creating an effective computational theory and developing a systematic methodological framework for socioeconomic studies. The basic idea behind the ACP approach is: 1) to model the complex socioeconomic systems as artificial societies using agent techniques in a "bottom-up” fashion; 2) to utilize innovative computing technologies and make computers as experimental laboratories for investigating socioeconomic problems; and 3) to achieve an effective management and control of the focal complex socioeconomic system through parallel executions between artificial and actual socioeconomic systems. An ACP-based experimental platform called MacroEconSim has been discussed, which can be used for modeling, analyzing, and experimenting on macroeconomic systems. A case study on economic inflation is also presented to illustrate the key research areas and algorithms integrated in this platform.
Computational modeling, Economics, Object oriented modeling, Analytical models, Mathematical model, Humans, Computer simulation, socioeconomic systems, Artificial societies, computational experiments, parallel systems

Y. Yuan, X. Li and D. Wen, "Artificial Societies, Computational Experiments, and Parallel Systems: An Investigation on a Computational Theory for Complex Socioeconomic Systems," in IEEE Transactions on Services Computing, vol. 6, no. , pp. 177-185, 2013.
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