Editorial: Meeting Grand Challenges in Agent-Based Models

被引：29

作者：

An, Li ^{[1
]}

Grimm, Volker ^{[2
,3
]}

Turner, Billie L., II ^{[4
]}

机构：

[1] San Diego State Univ, Dept Geog, Ctr Complex Human Environm Syst, Storm Hall 303C, San Diego, CA 92182 USA

[2] UFZ Helmholtz Ctr Environm Res, Dept Ecol Modelling, Permoserstr 15, D-04318 Leipzig, Germany

[3] Univ Potsdam, Potsdam, Germany

[4] Arizona State Univ, Coll Liberal Arts & Sci, Sch Geog Sci & Urban Planning, POB 875302, Tempe, AZ 85287 USA

来源：

JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION | 2020年 / 23卷 / 01期

基金：

美国国家科学基金会;

关键词：

Agent-Based Modeling; Complex Systems; System Integration; Social-Ecological Systems; Overview; LAND-USE; COUPLED HUMAN; ECOLOGICAL THEORY; COMPLEXITY; SYSTEMS; PROTOCOL; LESSONS;

D O I：

10.18564/jasss.4012

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This editorial paper reviews the state of the science about agent-based modeling (ABM), pointing out the strengths and weaknesses of ABM. This paper also highlights several impending tasks that warrant special attention in order to improve the science and application of ABM: Modeling human decisions, ABM transparency and reusability, validation of ABM, ABM software and big data ABM, and ABM theories. Six innovative papers that are included in the special issue are summarized, and their connections to the ABM impending tasks are brought to attention. The authors hope that this special issue will help prioritize specific resources and activities in relation to ABM advances, leading to coordinated, joint efforts and initiatives to advance the science and technology behind ABM.

引用

页数：8

共 51 条

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