The discovery of history using inverse simulation

  • Authors:
  • Setsuya Kurahashi

  • Affiliations:
  • Graduate School of Business Sciences, University of Tsukuba, Japan

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2009

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Abstract

We analysed a particular family line, which had so many successful candidates, who passed the very tough examinations of Chinese government officials over 500 years. We investigate what would have happened in a Chinese historical family line. First, we studied the genealogical records Zokufu in China. Second, based on the study, we implemented an agent-based model with the family line network as an adjacency matrix, the personal profile data as an attribution matrix. Third, using 'inverse simulation' technique, we optimised the agent-based model in order to fit the simulation profiles to the real profile data. From the intensive experiments, we have found that both grandfather and mother have a profound impact within a family to transmit cultural capital to children and maintain the system of the norm, system of the family. We conclude that new agent-based models are able to contribute to discover knowledge in the fields of historical sciences.