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Judges' Commentary: Migration to Mars

机译:法官评论:移居火星

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摘要

This problem presented challenges to teams in the form of understanding the scenario and its tasks, building viable models from very qualitative human-relevant concepts (e.g., happiness), and forming actionable recommendations for systems and policies based on their models. Many teams had innovative and useful ideas for some parts of the problem, but were unable to satisfy all the tasks required in the problem within the time constraints. The four outstanding teams seemed to fulfill those tasks the best and still write logical recommendations for the Population Zero leaders. The judges see benefit to this kind of ICM problem, since time-constrained policy modeling is a demanding task that is performed by public and private analysts and modelers throughout the world. The judges congratulate all the teams that selected and worked on this problem and wish those ICM modelers who will become real-life policy modelers well in analyzing issues and making valuable and acceptable recommendations to the decision makers.
机译:这个问题以理解场景及其任务,从非常定性的与人类相关的概念(例如幸福感)建立可行的模型以及根据其模型为系统和策略形成可行的建议的形式给团队带来了挑战。对于问题的某些部分,许多团队都有创新和有用的想法,但是无法在时间限制内满足问题中的所有任务。四支杰出的团队似乎最好地完成了这些任务,但仍为零人口领袖撰写了合乎逻辑的建议。法官认为这种ICM问题是有好处的,因为受时间限制的策略建模是一项艰巨的任务,它由全世界的公共和私人分析师以及建模人员执行。法官祝贺所有选择和研究此问题的团队,并祝愿那些将成为现实生活中的政策建模人员的ICM建模人员能够很好地分析问题并向决策者提出有价值且可接受的建议。

著录项

  • 来源
    《The UMAP Journal》 |2017年第2期|221-232|共12页
  • 作者

    Chris Arney;

  • 作者单位

    Dept. of Mathematical Sciences U.S. Military Academy West Point, NY 10996;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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