Agent-Based Modeling as a Legal Theory Tool

被引:1
作者
Benthall, Sebastian [1 ]
Strandburg, Katherine J. [1 ]
机构
[1] NYU, Sch Law & Informat Law Inst, New York, NY 10003 USA
关键词
agent-based modeling; simulation; complexity; law and economics; law and macroeconomics; law and political economy; ECONOMICS; CONVERGENCE; DYNAMICS; WORLD;
D O I
10.3389/fphy.2021.666386
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Agent-based modeling (ABM) is a versatile social scientific research tool that adapts insights from sociology and physics to study complex social systems. Currently, ABM is nearly absent from legal literature that evaluates and proposes laws and regulations to achieve various social goals. Rather, quantitative legal scholarship is currently most characterized by the Law and Economics (L&E) approach, which relies on a more limited modeling framework. The time is ripe for more use of ABM in this scholarship. Recent developments in legal theory have highlighted the complexity of society and law's structural and systemic effects on it. ABM's wide adoption as a method in the social sciences, including recently in economics, demonstrates its ability to address precisely these regulatory design issues.
引用
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页数:7
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