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Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.

Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.

'''计算社会学 Computational Sociology''' 是社会学的一个分支，它使用计算密集型方法来分析和模拟社会现象。计算社会学通过使用计算机模拟、人工智能、复杂统计方法以及社会网络分析等分析方法自下而上地建立社会互动模型，是建立并检验复杂社会过程的理论。

'''计算社会学 Computational Sociology''' 是社会学的一个分支，它使用计算密集型方法来分析和模拟社会现象。<font color='red'>计算社会学通过使用计算机模拟、人工智能、复杂统计方法以及社会网络分析等分析方法自下而上地建立社会互动模型，是建立并检验复杂社会过程的理论。</font> <font color='blue'>  借助计算机模拟、人工智能、复杂统计方法以及社会网络分析等分析方法，计算社会学通过自下而上地建立社会互动模型来发展和检验关于复杂社会过程的理论。</font>

It involves the understanding of social agents, the interaction among these agents, and the effect of these interactions on the social aggregate. Although the subject matter and methodologies in social science differ from those in natural science or computer science, several of the approaches used in contemporary social simulation originated from fields such as physics and artificial intelligence. Some of the approaches that originated in this field have been imported into the natural sciences, such as measures of network centrality from the fields of social network analysis and network science.

It involves the understanding of social agents, the interaction among these agents, and the effect of these interactions on the social aggregate. Although the subject matter and methodologies in social science differ from those in natural science or computer science, several of the approaches used in contemporary social simulation originated from fields such as physics and artificial intelligence. Some of the approaches that originated in this field have been imported into the natural sciences, such as measures of network centrality from the fields of social network analysis and network science.

它涉及理解社会行为主体和它们的相互作用，以及这些相互作用如何影响社会总体(--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） social aggregate)。虽然社会科学的主题和方法不同于自然科学或计算机科学，但当代社会仿真模拟中使用的一些方法起源于物理学和人工智能等领域。这一领域的一些方法，如来自社会网络分析和网络科学领域的网络中心性度量方法等，早已被引入到自然科学中。

它涉及理解社会行为主体和它们的相互作用，以及这些相互作用如何影响社会总体(--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） social aggregate--[[用户:木子二月鸟|木子二月鸟]]（[[用户讨论:木子二月鸟|讨论]]） 我觉得这样翻译是ok的)。虽然社会科学的主题和方法不同于自然科学或计算机科学，但当代社会仿真模拟中使用的一些方法起源于物理学和人工智能等领域。这一领域的一些方法，如来自社会网络分析和网络科学领域的网络中心性度量方法等，早已被引入到自然科学中。

While emergence has had a valuable and important role with the foundation of Computational Sociology, there are those who do not necessarily agree.  One major leader in the field, Epstein, doubted the use because there were aspects that are unexplainable.  Epstein put up a claim against emergentism, in which he says it "is precisely the generative sufficiency of the parts that constitutes the whole's explanation".

While emergence has had a valuable and important role with the foundation of Computational Sociology, there are those who do not necessarily agree.  One major leader in the field, Epstein, doubted the use because there were aspects that are unexplainable.  Epstein put up a claim against emergentism, in which he says it "is precisely the generative sufficiency of the parts that constitutes the whole's explanation".

虽然涌现在计算社会学的建立上发挥了宝贵而重要的作用，但也有人不太同意。该领域的一个主要人物爱泼斯坦 Epstein对这种用法持怀疑态度，因为有些方面是这个用法无法解释的。爱泼斯坦提出了一种反对“涌现主义”的观点，他表示:“正是这些部分的有生成意义的充分性构成了对整体的解释”。

虽然涌现在计算社会学的建立上发挥了宝贵而重要的作用，但也有人不太同意。该领域的一个主要人物爱泼斯坦 Epstein对这种<font color='red'>用法</font> <font color='blue'>概念</font>持怀疑态度，因为有些方面是这个<font color='red'>用法</font> <font color='blue'>概念</font>无法解释的。爱泼斯坦提出了一种反对“涌现主义”的观点，他表示:“正是这些部分的有生成意义的充分性构成了对整体的解释”。