TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution
Ye, Peijun; Wang, Xiao; Xiong, Gang; Chen, Shichao; Wang, Fei-Yue
发表期刊IEEE Transactions on Cybernetics
2020
期号PP页码:1-10
摘要

Agent-based simulation is a useful approach for the analysis of dynamic population evolution. In this field, the existing models mostly treat the migration behavior as a result of utility maximization, which partially ignores the endogenous mechanisms of human decision making. To simulate such a process, this article proposes a new cognitive architecture called the two-layered integrated decision cycle (TiDEC) which characterizes the individual’s decision-making process. Different from the previous ones, the new hybrid architecture incorporates deep neural networks for its perception and implicit knowledge learning. The proposed model is applied in China and U.S. population evolution. To the best of our knowledge, this is the first time that the cognitive computation is used in such a field. Computational experiments using the actual census data indicate that the cognitive model, compared with the traditional utility maximization methods, cannot only reconstruct the historical demographic features but also achieve better prediction of future evolutionary dynamics.

关键词Agent-based Model (Abm), Cognitive Architecture, Population Evolution.
收录类别SCI
语种英语
WOS记录号WOS:000733232400026
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/28402
专题复杂系统管理与控制国家重点实验室
作者单位中国科学院自动化研究所
第一作者单位中国科学院自动化研究所
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GB/T 7714
Ye, Peijun,Wang, Xiao,Xiong, Gang,et al. TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution[J]. IEEE Transactions on Cybernetics,2020(PP):1-10.
APA Ye, Peijun,Wang, Xiao,Xiong, Gang,Chen, Shichao,&Wang, Fei-Yue.(2020).TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution.IEEE Transactions on Cybernetics(PP),1-10.
MLA Ye, Peijun,et al."TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution".IEEE Transactions on Cybernetics .PP(2020):1-10.
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