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→Challenges 挑战
Computational sociology, as with any field of study, faces a set of challenges. These challenges need to be handled meaningfully so as to make the maximum impact on society.
Computational sociology, as with any field of study, faces a set of challenges. These challenges need to be handled meaningfully so as to make the maximum impact on society.
计算社会学和其他研究领域一样面临着一系列的挑战。必须有意义<font color='blue'>（目的？针对性？）</font>地处理这些挑战（--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） meaningfully怎么翻译才比较通顺？--[[用户:木子二月鸟|木子二月鸟]]（[[用户讨论:木子二月鸟|讨论]](这个词确实不好翻译)），才能对社会产生最大的影响。
Each society that is formed tends to be in one level or the other and there exists tendencies of interactions between and across these levels. Levels need not only be micro-level or macro-level in nature. There can be intermediate levels in which a society exists say - groups, networks, communities etc.
Each society that is formed tends to be in one level or the other and there exists tendencies of interactions between and across these levels. Levels need not only be micro-level or macro-level in nature. There can be intermediate levels in which a society exists say - groups, networks, communities etc.
形成的每个社会都处于某种层次上，并且这些层次之间<font color='blue'>和跨层次间</font>有相互作用的倾向。社会中的级别不仅可以分为微观或宏观的层次，还可以存在中间的层次，比如群体、网络、社区等。
（--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 合并了英文的原句）
（--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 合并了英文的原句）
Generative models helps us to perform extensive qualitative analysis in a controlled fashion. A model proposed by Epstein, is the agent-based simulation, which talks about identifying an initial set of heterogeneous entities (agents) and observe their evolution and growth based on simple local rules.
Generative models helps us to perform extensive qualitative analysis in a controlled fashion. A model proposed by Epstein, is the agent-based simulation, which talks about identifying an initial set of heterogeneous entities (agents) and observe their evolution and growth based on simple local rules.
'''生成模型 Generative Models'''帮助我们以一种受控的方式进行广泛的定性分析。爱泼斯坦（Epstein）提出的一个基于主体的模型，就是探讨如何识别异质实体(主体)的'''初始集 Initial Set'''，并根据简单的局部规则观察它们的演化和增长。
'''生成模型 Generative Models'''帮助我们以一种受控的方式进行广泛的定性分析。爱泼斯坦（Epstein）提出的一个基于主体的模型，就是探讨如何识别异质实体(主体)的'''初始集 Initial Set'''，并<s>根据简单的局部规则</s>观察它们<font color='blue'>基于简单的局部规则带来</font>的演化和增长。