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Configuring Agents’ Attributes with Simulated Annealing

  • Shunsuke Hara
  • Hajime KitaEmail author
  • Kokolo Ikeda
  • Masahiro Susukita
Conference paper
Part of the Agent-Based Social Systems book series (ABSS, volume 10)

Abstract

In agent-based social simulation, aiming at a quantitative analysis of a real situation deals with the problem of deciding agents’ attributes. The attributes have to match the existing data such as social statistics. However, the number of available data is much smaller than the vast degrees of freedom of agents, and therefore agents’ attributes can’t be decided uniquely. For this problem, we propose a formulation of the attribute decision problem as a constrained optimization. In this chapter, we show the estimation of a future population with an individual-based model (IBM) as an example of the proposed method.

Keywords

Agent-based simulation Constrained optimization Micro simulation Population dynamics Simulated annealing 

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Copyright information

© Springer Japan 2013

Authors and Affiliations

  • Shunsuke Hara
    • 1
  • Hajime Kita
    • 1
    Email author
  • Kokolo Ikeda
    • 2
  • Masahiro Susukita
    • 3
  1. 1.Kyoto UniversityKyotoJapan
  2. 2.Japan Advanced Institute of Science and Technology (JAIST)NomiJapan
  3. 3.Kansai Electric Power Co. Inc.OsakaJapan

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