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Arguing for Computational Power

机译:争夺计算能力

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摘要

Nearly every book on agent-based models (including Generative Social Science) features advanced praise on the dust cover that highlights the tremendous promise of agent-based modeling. Agent-based modeling, however, is now at least 35 years old-counting from the publication of Thomas Schelling's Micromotives and Macrobehavior (1)-and its impact on mainstream research in the three major social sciences (economics, sociology, and political science) has been limited in contrast to, say, that of game theory. Before the reader jumps to conclusions about conspiracies among scientific elites that rigidly hold on to existing views, it is worth keeping in mind that over the past 15 years, the supposed fortress of orthodoxy, theoretical economics, has been revolutionized at least twice: first by the introduction of evolutionary game theory and more recently by the birth of behavioral economics and neuroeconomics. Agent-based models have had no similar impact.
机译:几乎每本有关基于代理的模型(包括Generative Social Science)的书都对防尘罩给予了高度评价,突出了基于代理的建模的巨大前景。但是,基于托马斯·谢林(Thomas Schelling)的《微观动机与宏观行为》(1)的发表及其对三大主要社会科学(经济学,社会学和政治学)主流研究的影响,基于代理的建模至少已有35年的历史了。与博弈论相比,它受到了限制。在读者对僵持现有观点的科学精英之间的阴谋作出结论之前,值得牢记的是,在过去的15年中,所谓的正统堡垒,理论经济学至少进行了两次革命:进化博弈论的引入,以及最近行为经济学和神经经济学的诞生。基于代理的模型没有类似的影响。

著录项

  • 来源
    《Science》 |2007年第5852期|p.918-919|共2页
  • 作者

    Daniel Diermeier;

  • 作者单位

    Northwestern Institute on Complex Systems and the Kellogg School of Management, 2001 Sheridan Road, Leverone Hall 585, Northwestern University, Evanston, IL 60208-2009, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然科学总论;
  • 关键词

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