Case-based methods and agent-based modelling: bridging the divide to leverage their combined strengths
Case-based methods and agent-based modelling: bridging the divide to leverage their combined strengths
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DOI：
10.1080/13645579.2018.1563972
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发表时间：
2019-01
影响因子：
3.3
通讯作者：
B. Castellani;Peter Barbrook-Johnson;Corey Schimpf
中科院分区：
文献类型：
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作者：
B. Castellani;Peter Barbrook-Johnson;Corey Schimpf
摘要 研究社会复杂性的两个主要阵营是基于案例的方法（CBM）和基于主体的建模（ABM）。尽管“案例”和“代理人”之间存在潜在的认识论联系，但两个阵营都没有充分利用他们的综合优势。然而，通过利用 Abbott 的“代理是做事的案例”的见解、Byrne 的“案例是具有代理的复杂系统”的建议，以及通过在案例计算建模的更广泛趋势中看待 CBM 和 ABM，可以建立一座桥梁。为了展示这个桥梁的实用性，我们描述了 CBM 如何利用 ABM 来识别基于案例的趋势；探索案例的相互作用和集体行为；并研究不同的场景。我们还描述了 ABM 如何利用 CBM 来识别代理类型；构建代理行为规则；并将它们与结果联系起来以校准和验证模型结果。为了进一步证明这一桥梁，我们回顾了一项公共卫生研究，该研究在结合 CBM 和 ABM 方面迈出了初步步伐。
ABSTRACT Two leading camps for studying social complexity are case-based methods (CBM) and agent-based modelling (ABM). Despite the potential epistemological links between ‘cases’ and ‘agents,’ neither camp has leveraged their combined strengths. A bridge can be built, however, by drawing on Abbott’s insight that ‘agents are cases doing things’, Byrne’s suggestion that ‘cases are complex systems with agency’, and by viewing CBM and ABM within the broader trend towards computational modelling of cases. To demonstrate the utility of this bridge, we describe how CBM can utilise ABM to identify case-based trends; explore the interactions and collective behaviour of cases; and study different scenarios. We also describe how ABM can utilise CBM to identify agent types; construct agent behaviour rules; and link these to outcomes to calibrate and validate model results. To further demonstrate the bridge, we review a public health study that made initial steps in combining CBM and ABM.