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Societal simulation: An artificial intelligence approach.

机译:社会模拟:一种人工智能方法。

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摘要

The physical sciences have come across complex systems for which global behaviors are difficult to model by traditional mathematical means. For example, it has been difficult to find global equations by which to model turbulence, or predict the weather. Increasingly, scientists have turned to computer-based simulations that model the local rules of behavior of individual elements of the systems. Global phenomena emerge from these local interactions. For example, for turbulence each individual air molecule is modeled and the overall turbulence pattern emerges from their simple local interactions.;This thesis describes the construction and use of such a simulator: ChimpWorld. ChimpWorld is a general architecture for societal simulation that has been applied to a particular domain: chimpanzee societies. The individual elements of the system are independent yet socially-linked AI-based agents--in this case chimpanzees. Their socially guided actions and motivations create dynamic societies.;Thus, ChimpWorld is a "wind tunnel for the social and organizational sciences": it allows different social organizations, individuals, and physical environments to be dynamically tested so that the results can be compared to real societies. Via such comparisons scientists can build, test, and refine their societal and organizational theories. Hence, this thesis is intended for social scientists interested in a new technology and what has been learned from it about social agents and societies, as well as for cognitive scientists and AI researchers interested in the nature of social minds.;Clearly, social systems are at least as complex. And similarly social scientists have found it difficult to discover global equations for social systems. And while some social scientists have taken the opposite tack of writing essays--not equations!--that reveal the local complexity of social systems, these efforts fall short in precision. A computational societal simulator offers an opportunity for formal precision while still embracing the complexity of social agents and the relations and rituals that bind them.
机译:物理科学遇到了复杂的系统,这些系统很难用传统的数学方法来模拟全球行为。例如,很难找到用于对湍流建模或预测天气的全局方程。越来越多的科学家转向基于计算机的模拟,该模拟为系统各个元素的行为的局部规则建模。这些局部相互作用产生了全球现象。例如,对于湍流,对每个单独的空气分子进行建模,并从它们的简单局部相互作用中得出整体湍流模式。本文描述了此类模拟器ChimpWorld的构造和使用。黑猩猩世界是用于社会模拟的通用体系结构,已应用于特定领域:黑猩猩社会。该系统的各个要素是独立的但与社会相关联的基于AI的代理商-在这种情况下是黑猩猩。他们在社会上所指导的行动和动机创建了动态的社会。因此,ChimpWorld是“社会和组织科学的风向标”:它允许动态地测试不同的社会组织,个人和自然环境,以便将结果进行比较。真实的社会。通过这种比较,科学家可以建立,测试和完善他们的社会和组织理论。因此,本论文面向对新技术感兴趣的社会科学家,以及从中了解到的有关社会代理人和社会的知识,以及对社会心理性质感兴趣的认知科学家和AI研究人员。至少一样复杂。同样,社会科学家发现很难发现社会系统的整体方程。尽管一些社会科学家采取了相反的方式来写论文(而不是方程式!)来揭示社会系统的局部复杂性,但这些努力在准确性上还不够。计算社会模拟器提供了形式上的精确性的机会,同时仍然拥抱了社会主体的复杂性以及约束它们的关系和仪式。

著录项

  • 作者

    Hughes, Lucian Parke.;

  • 作者单位

    Yale University.;

  • 授予单位 Yale University.;
  • 学科 Anthropology Physical.;Computer Science.;Sociology General.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 343 p.
  • 总页数 343
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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