社论:面对基于主体模型的重大挑战

Li An, V. Grimm, B. Turner
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引用次数: 23

摘要

本文综述了基于智能体建模(agent-basedmodeling, ABM)的研究现状,指出了ABM的优缺点。本文还强调了为了提高ABM的科学和应用,需要特别关注的几个迫在眉睫的任务:人类决策建模,ABM透明度和可重用性,ABM验证,ABM软件和大数据ABM,以及ABM理论。总结了特刊中收录的六篇创新论文,并指出了它们与ABM即将面临的任务之间的联系。作者希望这一特殊问题将有助于确定与反导进展有关的特定资源和活动的优先级,从而导致协调、联合的努力和倡议,以推进反导背后的科学和技术。
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Editorial: Meeting Grand Challenges in Agent-Based Models
This editorial paper reviews the state of the science about agent-basedmodeling (ABM), pointing out the strengths and weaknesses of ABM. This paper also highlights several impending tasks that warrant special attention inorder to improve the scienceandapplicationof ABM:Modelinghumandecisions, ABM transparency and reusability, validation of ABM, ABM so ware 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 toattention. Theauthorshope that this special issuewill helpprioritize specific resourcesandactivities in relation to ABM advances, leading to coordinated, joint e orts and initiatives to advance the science and technology behind ABM.
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