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

Authored by Chao Yang, Setsuya Kurahashi, Keiko Kurahashi, Isao Ono, Takao Terano

Date Published: 2009-03

Sponsors: National Key Technology R&D Program of China

Platforms: Java

Model Documentation: Pseudocode Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

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.

Tags

agent-based simulation Civil Service Examination Family Norm Grid Oriented Genetic Algorithm inverse simulation