Using Agent-Based Modeling to Understand Complex Social Phenomena - A Curriculum Approach

被引:0
|
作者
Valdez, Andre Calero [1 ]
Nakayama, Johannes [2 ]
Vervier, Luisa [2 ]
Nunner, Hendrik [1 ]
Ziefle, Martina [2 ]
机构
[1] Univ Lubeck, Inst Multimedia & Interact Syst, Ratzeburger Allee 160, D-23562 Lubeck, Germany
[2] Rhein Westfal TH Aachen, Human Comp Interact Ctr, Campus Blvd 57, D-52076 Aachen, Germany
来源
DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT, DHM 2023, PT II | 2023年 / 14029卷
关键词
Agent-based modeling;
D O I
10.1007/978-3-031-35748-0_27
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Agent-based modeling (ABM) is a powerful tool for studying complex systems that involve multiple agents interacting with each other and their environment. However, there is a lack of comprehensive and easily accessible resources for learning about ABM and its applications. To address this issue, collaboration on developing an open curriculum on ABM for university seminars is proposed. An open curriculum would allow for the sharing of expertise and knowledge across disciplines and institutions, be more accessible to a broader audience, and foster greater collaboration and cooperation among researchers and practitioners in the field of ABM. This would ultimately improve the accessibility and impact of ABM as a tool for understanding and predicting the behavior of complex systems. We propose a curriculum comprising six modules covering the introduction to ABM, building an ABM, analyzing and interpreting results, real-world applications, advanced topics, and future directions.
引用
收藏
页码:368 / 377
页数:10
相关论文
共 50 条
  • [41] An agent-based modeling approach to collaborative classrooms evacuation process
    Delcea, Camelia
    Cotfas, Liviu-Adrian
    Craciun, Liliana
    Molanescu, Anca Gabriela
    SAFETY SCIENCE, 2020, 121 (121) : 414 - 429
  • [42] Assessing Prehospital Seismic Resilience: An Agent-Based Modeling Approach
    Long, Yanjiang
    Li, Zaishang
    Pan, Shengjie
    Lim, Huey Wen
    Zhao, Zeyu
    Huang, Yuecheng
    Fang, Dongping
    IT PROFESSIONAL, 2022, 24 (03) : 18 - 27
  • [43] THE AGENT-BASED APPROACH TO POST KEYNESIAN MACRO-MODELING
    Di Guilmi, Corrado
    JOURNAL OF ECONOMIC SURVEYS, 2017, 31 (05) : 1183 - 1203
  • [44] Filter Bubbles and Content Diversity? An Agent-Based Modeling Approach
    Belavadi, Poornima
    Burbach, Laura
    Halbach, Patrick
    Nakayama, Johannes
    Plettenberg, Nils
    Ziefle, Martina
    Valdez, Andre Calero
    SOCIAL COMPUTING AND SOCIAL MEDIA. DESIGN, ETHICS, USER BEHAVIOR, AND SOCIAL NETWORK ANALYSIS, SCSM 2020, PT I, 2020, 12194 : 215 - 226
  • [45] An agent-based approach for modeling and simulation of human resource management as a complex system: Management strategy evaluation
    Somarathna, K. U. S.
    SIMULATION MODELLING PRACTICE AND THEORY, 2020, 104
  • [46] Survey of evolutionary computation methods in social agent-based modeling studies
    Revay P.
    Cioffi-Revilla C.
    Journal of Computational Social Science, 2018, 1 (1): : 115 - 146
  • [47] Understanding Fundamental Phenomena Affecting the Water Conservation Technology Adoption of Residential Consumers Using Agent-Based Modeling
    Rasoulkhani, Kambiz
    Logasa, Brianne
    Reyes, Maria Presa
    Mostafavi, Ali
    WATER, 2018, 10 (08)
  • [48] GENERATION OF REUSABLE SYNTHETIC POPULATION AND SOCIAL NETWORKS FOR AGENT-BASED MODELING
    Jiang, Na
    Kayak, Hamdi
    Kennedy, William G.
    Crooks, Andrew T.
    PROCEEDINGS OF THE 2021 ANNUAL MODELING AND SIMULATION CONFERENCE (ANNSIM'21), 2020,
  • [49] Agent-Based Modeling in Social Science, History, and Philosophy. An Introduction
    Klein, Dominik
    Marx, Johannes
    Fischbach, Kai
    HISTORICAL SOCIAL RESEARCH-HISTORISCHE SOZIALFORSCHUNG, 2018, 43 (01): : 7 - 27
  • [50] Opinion Influence in Online Social Media Environments -A Grey System Theory and Agent-Based Modeling Approach
    Delcea, Camelia
    Bradea, Ioana Alexandra
    Cotfas, Liviu Adrian
    Scarlat, Emil
    PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2017, : 349 - 355