• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mind & society >Special issue on 'Complexity modeling in social science and economics' Introduction
【24h】

Special issue on 'Complexity modeling in social science and economics' Introduction

机译：关于“社会科学和经济学中的复杂性建模”的特刊

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Complexity modeling seeks to show how the behavioral patterns of complex systems emerge from relatively simple semi-random interrelations and interactions between rather homogenous components of these systems. Inspired by complexity modeling in physics, and beginning with Thomas Schelling's 1971 classical modeling of segregation, complexity modeling has found its way into social science. Indeed, in recent years it has been thriving in the form of agent-based simulation, complex social network analysis, and econo-physics. In addition, it echoes in non-computational accounts of individual psychology in terms of dynamical systems theory, accounts that have been gaining ground recently. According to standard wisdom in social science, the social world being complex because people are complicated, social explanations must reflect and embody the rather tortuous and varied psychology of individuals. The complexity modeling paradigm, in contrast, posits that the complex social patterns of behaviour are the outcome of something akin to the semi-random statistical atomic-level interactions that give way to the clockwork precision of thermodynamics. Physics-like laws are taken to provide a new picture of human or "social" atoms, to use Mark Buchanan's disturbing phrase, and of the complex social patterns emerging from their interactions, a picture that gives little space to individual psychology with all its complexity and variety. Complexity modeling thus forms a new-and perhaps revolutionary-research paradigm in social science and economics that may prove to have far-reaching theoretical and practical implications. Indeed, in the guise of agent-based simulation and complex social network analysis it has already been applied to such diverse phenomena as seasonal migration, sexual reproduction, the transmission of disease and the spread of epidemics, the co-evolution of social networks and culture, stock-market crashes, traffic jams, the growth and decline of ancient civilizations, the evolution of ethnocentric behaviour, and political cooperation between US Senators. In addition, it has been used to solve a variety of business and technological problems such as supply-chain optimization and workforce management.
机译：复杂性建模试图显示复杂系统的行为模式是如何从相对简单的半随机相互关系以及这些系统的相当同质组件之间的相互作用中出现的。受物理学中复杂性建模的启发，从Thomas Schelling于1971年提出的经典隔离模型开始，复杂性建模已进入社会科学领域。实际上，近年来，它已经以基于代理的模拟，复杂的社交网络分析和经济物理学的形式蓬勃发展。此外，它在动力学系统理论方面回响了个人心理学的非计算性解释，这种解释最近得到了发展。根据社会科学的标准观点，社会世界是复杂的，因为人是复杂的，社会解释必须反映和体现个人相当曲折和多样化的心理。相比之下，复杂性建模范式认为，行为的复杂社会模式是类似于半随机统计原子级相互作用的结果，这些相互作用让位于热力学的发条精度上。类似于物理学的定律被用来提供人类或“社会”原子的新图景，以使用马克·布坎南的令人不安的短语，以及相互作用产生的复杂的社会模式，这种图景给个体心理学提供了很少的空间和多样性。因此，复杂性建模在社会科学和经济学中形成了一个新的，甚至是革命性的研究范式，可能被证明具有深远的理论和实践意义。确实，以代理为基础的模拟和复杂的社会网络分析的幌子，它已被应用于诸如季节性迁移，有性繁殖，疾病的传播和流行病的传播，社会网络和文化的共同发展等多种现象。 ，股市崩盘，交通堵塞，古代文明的兴衰，民族主义行为的演变以及美国参议员之间的政治合作。此外，它还用于解决各种业务和技术问题，例如供应链优化和劳动力管理。

著录项

  • 来源
    《Mind & society》 |2015年第2期|153-154|共2页
  • 作者

    Itzhak Aharon; Sacha Bourgeois-Gironde; Yakir Levin;

  • 作者单位

    The Interdisciplinary Center, Herzliya, Israel;

    Department of Economics, Universite Pantheon-Assas, Paris, France;

    Department of Philosophy, Ben-Gurion University of the Negev, Beer-Sheva, Israel;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号