文章基本信息

标题：Two Challenges in Simulating the Social Processes of Science
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作者：Edmund Chattoe-Brown
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2011
卷号：14
期号：4
页码：1-2
DOI：10.18564/jasss.1819
出版社：University of Surrey, Department of Sociology
摘要：This note discusses two challenges to simulating the social process of science. The first is developing an adequately rich representation of the underlying Data Generation Process which scientific progress can "learn". The second is how to get effective data on what, in broad terms, the properties of the "future" are. Paradoxically, with due care, we may learn a lot about the future by studying the past.
关键词：Simulating Science; Algorithmic Chemistry; Evolutionary Algorithms; Data Structures; Learning Systems