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Scott E. Page is an American social scientist, a Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science, and Economics at the University of Michigan, Ann Arbor, where he has been working since 2000. He has also been an external faculty member in economics at the Santa Fe Institute from 2000-5 and 2007–present. He also directs the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor.〔http://cscs.umich.edu/〕 Page is best known for his research on diversity, complexity, and modeling the social sciences. His specific research interests include path dependence, culture, collective wisdom, adaptation, and computational models of social life. In addition to teaching at Michigan, Page also instructs the Teaching Company educational video series "Understanding Complexity" 〔http://www.thegreatcourses.com/tgc/courses/Course_Detail.aspx?cid=5181〕 and the online "Model Thinking" course created by Coursera.〔https://www.coursera.org/modelthinking/auth/welcome〕 ==Biography== Page received his B.A. in mathematics at the University of Michigan, Ann Arbor, in 1985. He then received an M.A. in mathematics at the University of Wisconsin–Madison in 1988 and an M.A. in managerial economics from the Kellogg Graduate School of Management at Northwestern University in 1990. In 1993 he earned a Ph.D. in Managerial Economics and Decision Sciences also from the Kellogg School under the guidance of Stanley Reiter and Roger Myerson (his advisors), Mark Satterthwaite, and Matthew Jackson. Before assuming his position at Michigan, he taught at the California Institute of Technology (1993-7), the University of California - Los Angeles (1994) and the University of Iowa (1997-9). 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Scott E. Page」の詳細全文を読む スポンサード リンク
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