Computational Models of Social Forms: Advancing Generative Process Theory1

Computational Models of Social Forms: Advancing Generative Process Theory1
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社会形式的计算模型:推进生成过程理论1

DOI:
--
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发表时间:
2005
影响因子:
4.4
通讯作者:
L. Cederman
L. Cederman
中科院分区:
法学1区
文献类型:
--
作者:
L. Cederman

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在齐美尔的理论基础上,社会学过程理论家继续挑战主流社会理论。然而到目前为止,他们很少依赖正式的建模。作者认为,计算模型的最新进展为探索西美尔传统中社会形式的出现提供了工具。由于认识论和本体论都有共同的基础,这两个领域可以通过更明确地相互借鉴而受益。社会理论中的过程理论传统和当代基于主体的模型将理论化从社会形式的理论解释转向生成解释,从基于变量的本体论转向配置本体论。为了形式化社会理论,作者重点关注如何对动态社交网络和新兴参与者配置进行建模。
Building on Simmel’s theoretical foundations, sociological process theorists continue to challenge mainstream social theory. So far, however, they have rarely relied on formal modeling. The author argues that recent advances in computational modeling offer tools to explore the emergence of social forms in the Simmelian tradition. Thanks to common foundations in both epistemology and ontology, these two fields can benefit from drawing more explicitly on each other. The process‐theoretic tradition in social theory and contemporary agent‐based models shift theorizing from nomothetic to generative explanations of social forms, and from variable‐based to configurative ontologies. In order to formalize sociational theory, the author focuses on how to model dynamic social networks and emergent actor configurations.
DOI: --
发表时间: 1999
期刊: --
影响因子: --
作者:
Nigel Gi lbert;K. G. Troitzsch
通讯作者: Nigel Gi lbert;K. G. Troitzsch