Making computational social science effective - Epistemology, methodology, and technology
Making computational social science effective - Epistemology, methodology, and technology
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DOI：
10.1177/089443902237317
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发表时间：
2002-12-01
影响因子：
4.1
通讯作者：
Popper, S
中科院分区：
文献类型：
--
作者：
Bankes, S;Lempert, R;Popper, S
最近，许多社会科学领域（包括经济学、社会学、人类学、政治学和博弈论）对基于主体的建模产生了浓厚的兴趣。本文描述了需要解决的三个问题，以便这些模型成为制定新社会理论和为政策辩论提供信息的有效工具，并提出了解决这些问题的方法。这些问题是计算认识论、研究方法和软件技术。这些创新增强了基于代理的建模，以创建有效的新工具库，帮助更好地理解复杂的社会系统。
There has been significant recent interest in Agent Based Modeling in many social sciences including economics, sociology, anthropology, political science, and game theory. This article describes three problems that need to be addressed in order for such models to become effective tools for formulating new social theory and informing policy debates and suggests approaches to meeting them. These issues are computational epistemology, research methodology, and software technology. These innovations augment Agent Based Modeling to create an effective new tool base to help better understand complex social systems.