Agent-Based Simulation on Women's Role in a Family Line on Civil Service Examination in Chinese History

Chao Yang (), Kurahashi Setsuya (), Keiko Kurahashi (), Isao Ono () and Takao Terano ()
Additional contact information
Kurahashi Setsuya: http://www.office.otsuka.tsukuba.ac.jp/wp/
Takao Terano: http://www.trn.dis.titech.ac.jp

Journal of Artificial Societies and Social Simulation, 2009, vol. 12, issue 2, 5

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.

Keywords: Agent-Based Simulation; Grid Oriented Genetic Algorithm; Inverse Simulation; Family Norm; Civil Service Examination (search for similar items in EconPapers)
Date: 2009-03-31
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jasss.org/12/2/5/5.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2008-53-4

Access Statistics for this article

More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().