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Title
Japanese: 
English:Agent-Based Simulation on Women's Role in a Family Line on Civil Service Examination in Chinese History 
Author
Japanese: 楊超, 倉橋 節也, Keiko Kurahashi, 小野 功, 寺野 隆雄.  
English: Chao Yang, Setsuya Kurahashi, Keiko Kurahashi, Isao Ono, Takao Terano.  
Language English 
Journal/Book name
Japanese: 
English:Journal of Artificial Societies and Social Simulation 
Volume, Number, Page Vol. 12    No. 2   
Published date Mar. 2009 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL http://jasss.soc.surrey.ac.uk/12/2/5.html
 
Abstract In this paper, following our previous work on civil service examinations in imperial China, we investigate women's role in a Chinese historical family line using an agent-based simulation (ABS) model with a grid oriented genetic algorithm (GOGA) framework. We utilize a GOGA framework, because our ABS had such large parameter spaces with real values that it required much greater computational resources. First, we studied the genealogical records. Second, based on that study, we implemented an agent-based model with the family lines branched out into two clusters to compare different family norms. Third, using an "inverse simulation" technique, we optimized the agent-based model in order to fit the simulation profiles to real profile data with real-coded GA. From these intensive experiments, we have found that (1) The combined influence of the father, uncle, mother and the aunt has important significance in maintaining a successful family norm, and (2) a particular role of the aunt to pass it on as well.

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