Modeling Human Education Data: From Equation-Based Modeling to Agent-Based Modeling

  • Yuqing Tang
  • Simon Parsons
  • Elizabeth Sklar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4442)


Agent-based simulation is increasingly used to analyze the performance of complex systems. In this paper we describe results of our work on one specific agent-based model, showing how it can be validated against the equation-based model from which it was derived, and demonstrating the extent to which it can be used to derive additional results over and above those that the equation-based model can provide.

The agent-based model that we build deals with human capital, the number of years of formal schooling that an individual chooses to undertake. For verification, we show that our agent-based model makes similar predictions about the growth in inequality — that is the growth of the variance in human capital across the population — as th equation-based model from which it is derived. In addition, we show that our model can make predictions about the change in human capital from generation to generation that are beyond the equation-based model.


Human Capital MultiAgent System Autonomous Agent Emergent Phenomenon High Human Capital 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yuqing Tang
    • 1
  • Simon Parsons
    • 1
    • 2
  • Elizabeth Sklar
    • 1
    • 2
  1. 1.Department of Computer Science, Graduate Center, City University of New York, 365, 5th Avenue, New York, NY 10016USA
  2. 2.Department of Computer & Information Science, Brooklyn College, City University of New York, 2900 Bedford Avenue, Brooklyn, NY 11210USA

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