更改

跳到导航 跳到搜索
添加1,081字节 、 2020年5月10日 (日) 22:47
第221行: 第221行:  
{{Main|Computational sociology}}
 
{{Main|Computational sociology}}
 
The development of [[computational sociology]] involves such scholars as [[Nigel Gilbert]], [[Klaus G. Troitzsch]], [[Joshua M. Epstein]], and others. The foci of methods in this field include [[social simulation]] and [[data-mining]], both of which are sub-areas of computational sociology. Social simulation uses computers to create an artificial laboratory for the study of complex social systems; [[Data mining|data-mining]] uses machine intelligence to search for non-trivial patterns of relations in large, complex, real-world databases. The emerging methods of [[socionics]] are a variant of computational sociology.<ref>Gilbert, Nigel and Klaus G. Troitzsch (2005). ''Simulation for Social Scientists'', 2nd Edition. New York, NY: Open University Press.</ref><ref name=epstein07>Epstein, Joshua M. (2007). ''Generative Social Science: Studies in Agent-Based Computational Modeling''. Princeton, NJ: Princeton University Press.</ref>
 
The development of [[computational sociology]] involves such scholars as [[Nigel Gilbert]], [[Klaus G. Troitzsch]], [[Joshua M. Epstein]], and others. The foci of methods in this field include [[social simulation]] and [[data-mining]], both of which are sub-areas of computational sociology. Social simulation uses computers to create an artificial laboratory for the study of complex social systems; [[Data mining|data-mining]] uses machine intelligence to search for non-trivial patterns of relations in large, complex, real-world databases. The emerging methods of [[socionics]] are a variant of computational sociology.<ref>Gilbert, Nigel and Klaus G. Troitzsch (2005). ''Simulation for Social Scientists'', 2nd Edition. New York, NY: Open University Press.</ref><ref name=epstein07>Epstein, Joshua M. (2007). ''Generative Social Science: Studies in Agent-Based Computational Modeling''. Princeton, NJ: Princeton University Press.</ref>
 +
 +
 +
计算社会学的发展涉及到以下学者的研究:奈杰尔·吉尔伯特(Nigel Gilbert),克劳斯·G·特罗伊茨(Klaus G.Troitzsch),约书亚·爱泼斯坦(Joshua M.Epstein)等。该领域研究的方法的集中包括社会仿真和数据挖掘,它们都是计算社会学的子领域。
 +
社会仿真运用计算机创建一个用于研究复杂社会系统的人工实验室;数据挖掘则运用机器智能,在大型、复杂的真实世界数据库中搜索其之间联系的关键点(斑图)。全新的社会人格学方法是计算社会学的一种变体。
 +
    
Computational sociology is influenced by a number of micro-sociological areas as well as the macro-level traditions of systems science and systems thinking. The micro-level influences of [[symbolic interactionism|symbolic interaction]], [[exchange theory|exchange]], and [[rational choice theory|rational choice]], along with the micro-level focus of computational political scientists, such as [[Robert Axelrod]], helped to develop computational sociology's [[:wikt:bottom-up|bottom-up]], [[agent-based]] approach to modeling complex systems. This is what [[Joshua M. Epstein]] calls [[generative science]].<ref name=epstein07 /> Other important areas of influence include [[statistics]], [[mathematical modeling]] and computer [[simulation]].
 
Computational sociology is influenced by a number of micro-sociological areas as well as the macro-level traditions of systems science and systems thinking. The micro-level influences of [[symbolic interactionism|symbolic interaction]], [[exchange theory|exchange]], and [[rational choice theory|rational choice]], along with the micro-level focus of computational political scientists, such as [[Robert Axelrod]], helped to develop computational sociology's [[:wikt:bottom-up|bottom-up]], [[agent-based]] approach to modeling complex systems. This is what [[Joshua M. Epstein]] calls [[generative science]].<ref name=epstein07 /> Other important areas of influence include [[statistics]], [[mathematical modeling]] and computer [[simulation]].
 +
 +
计算社会学受到许多微观社会学领域以及系统科学和系统思维的宏观传统的影响。符号互动理论,社会交换理论和理性选择理论的微观影响,以及罗伯特·阿克塞尔罗德(Robert Axelrod)等计算政治学家的微观中心思想,共同促进了计算社会学自下而上,基于主体建模方法的发展,进而研究于复杂系统。这就是约书亚·爱泼斯坦(Joshua M. Epstein)所称的生成科学
    
===Sociocybernetics===
 
===Sociocybernetics===
961

个编辑

导航菜单