| 期刊全稱 | Agent-Based Modelling in Population Studies | | 期刊簡(jiǎn)稱 | Concepts, Methods, a | | 影響因子2023 | André Grow,Jan Van Bavel | | 視頻video | http://file.papertrans.cn/152/151151/151151.mp4 | | 發(fā)行地址 | Examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments.Provides a solid point of reference for those wanting to use | | 學(xué)科分類 | The Springer Series on Demographic Methods and Population Analysis | | 圖書封面 |  | | 影響因子 | .This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly..Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories..In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human matin | | Pindex | Book 2017 |
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