‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models

‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models
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“一刀切”:基于主体模型敏感性分析的目的驱动混合方法路径路线图

DOI:
10.18564/jasss.4201
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发表时间:
2020
期刊:
Journal of Artificial Societies and Social Simulation
影响因子:
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通讯作者:
Li, Sheng
Li, Sheng
中科院分区:
--
文献类型:
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作者:
Ligmann-Zielinska, Arika;Siebers, Peer-Olaf;Magliocca, Nicholas;Parker, Dawn C.;Grimm, Volker;Du, Jing;Cenek, Martin;Radchuk, Viktoriia;Arbab, Nazia N.;Li, Sheng

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