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  • Abstract - Artificial Societies, Computational Experiments, and Parallel Systems: An Investigation on a Computational Theory for Complex Socioeconomic Systems
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Artificial Societies, Computational Experiments, and Parallel Systems: An Investigation on a Computational Theory for Complex Socioeconomic Systems
April-June 2013 (vol. 6 no. 2)
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.
Index Terms:
Computational modeling,Economics,Object oriented modeling,Analytical models,Mathematical model,Humans,Computer simulation,socioeconomic systems,Artificial societies,computational experiments,parallel systems
Citation:
Ding Wen, Yong Yuan, Xia-Rong Li, "Artificial Societies, Computational Experiments, and Parallel Systems: An Investigation on a Computational Theory for Complex Socioeconomic Systems," IEEE Transactions on Services Computing, vol. 6, no. 2, pp. 177-185, April-June 2013, doi:10.1109/TSC.2012.24
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