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An Agent-Based Model That Relates Investment in Education to Economic Prosperity

  • Conference paper
Multi-Agent-Based Simulation VIII (MABS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5003))

Abstract

This paper describes some experiments with an agent-based model designed to capture the relationship between the investment that a society makes in education in one generation, and the outcome in terms of the health of the society’s economy in ensuing generations. The model we use is a multiagent simulation derived from an equation-based model in the economics literature. The equation-based model is used to establish parameterized sets of agent behaviors and environmental characteristics. Agents are divided into three chronological categories: students, adults and pensioners; and each responds to and affects the environment in different ways, in terms of both human and physical capital. We explore the effects of different parameter settings on the education investment of a society and the resulting economic growth.

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References

  1. Antunes, L., Takadama, K. (eds.): MABS 2006. LNCS (LNAI), vol. 4442. Springer, Heidelberg (2007)

    Google Scholar 

  2. Bernard, R.N.: Using adaptive agent-based simulation models to assist planners in policy development: The case of rent control. Working Paper 99-07-052, Sante Fe Institute (1999)

    Google Scholar 

  3. Bonabeau, E.: Agent-based modelling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Science 99(3), 7280–7287 (2002)

    Article  Google Scholar 

  4. Flexner, S.B. (ed.): The Random House Dictionary of the English Language. Random House, New York (1987)

    Google Scholar 

  5. Greenwald, A., Kephart, J.: Shopbots and pricebots. In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, Stockholm, Sweden, August 1999, pp. 506–511 (1999)

    Google Scholar 

  6. Grimm, V.: Ten years of individual-based modeling in ecology: what have we learned and what could we learn in the future? Ecological Modeling, 129–148 (1999)

    Google Scholar 

  7. Kephart, J., Greenwald, A.: Shopbot economics. Autonomous Agents and Multi-Agent Systems 5(3), 255–287 (2002)

    Article  MathSciNet  Google Scholar 

  8. Kremer, M.: How much does sorting increase inequality? The Quarterly Journal of Economics 112(1), 115–139 (1997)

    Article  Google Scholar 

  9. Laitner, J.: Earnings within education groups and overall productivity growth. The Journal of Political Economy 108(4), 807–832 (2000)

    Article  Google Scholar 

  10. No Child Left Behind (July 2001), http://www.whitehouse.gov/news/reports/no-child-left-behind.html

  11. Van Dyke Parunak, H., Savit, R., Riolo, R.L.: Agent-based modeling vs. equation-based modeling: A case study and users’ guide. In: Proceedings of the Workshop on Multiagent-based Simulation, pp. 10–25 (1998)

    Google Scholar 

  12. Sklar, E., Davies, M., Co, M.S.T.: imEd: Simulating Education as a MultiAgent System. In: Proceedings of the Third International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2004), pp. 998–1005 (2004)

    Google Scholar 

  13. Sole, R.V., Gamarra, J.G.P., Ginovart, M., Lopez, D.: Controlling chaos in ecology: From deterministic to individual-based models. Bulletin of Mathematical Biology 61, 1187–1207 (1999)

    Article  Google Scholar 

  14. Tang, Y., Parsons, S., Sklar, E.: Agent-based modeling of human education data. In: Proceedings of the Fifth International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2006) (2006); An extended version of this paper appeared in [1]

    Google Scholar 

  15. Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems 3(3), 285–312 (2000)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science Graduate Center, City University of New York, 365, 5th Avenue, New York, NY 10016, USA

    Yuqing Tang, Simon Parsons & Elizabeth Sklar

  2. Department of Computer & Information Science Brooklyn College, City University of New York, 2900 Bedford Avenue, Brooklyn, NY 11210, USA

    Simon Parsons & Elizabeth Sklar

Authors
  1. Yuqing Tang
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  2. Simon Parsons
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  3. Elizabeth Sklar
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Editor information

Luis Antunes Mario Paolucci Emma Norling

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Tang, Y., Parsons, S., Sklar, E. (2008). An Agent-Based Model That Relates Investment in Education to Economic Prosperity. In: Antunes, L., Paolucci, M., Norling, E. (eds) Multi-Agent-Based Simulation VIII. MABS 2007. Lecture Notes in Computer Science(), vol 5003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70916-9_7

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  • DOI: https://doi.org/10.1007/978-3-540-70916-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70915-2

  • Online ISBN: 978-3-540-70916-9

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