An agent-based model that relates investment in education to economic prosperity

ABSTRACT

We describe work on an agent-based model that captures the relationship between the investment that a society makes in education and the outcome in terms of the health of the society's economy. In this work we created an agent-based version of an equation-based model from the economics literature, and explored various settings for parameters that control the behaviors of the agents and their environment.

REFERENCES

• 1: S. B. Flexner, editor. The Random House Dictionary of the English Language. Random House, 1987.
• 2: J. Laitner. Earnings within education groups and overall productivity growth. The Journal of Political Economy, 108(4):807--832, Aug. 2000.
• 3: No Child Left Behind. http://www.whitehouse.gov/news/reports/no-child-left-behind.html, July 2001.
• 4: Elizabeth Sklar , Mathew Davies , Min San Tan Co, SimEd: Simulating Education as a Multi Agent System, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, p.998-1005, July 19-23, 2004, New York, New York [doi>10.1109/AAMAS.2004.244]
• 5: Yuqing Tang , Simon Parsons , Elizabeth Sklar, Agent-based modeling of human education data, Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, May 08-12, 2006, Hakodate, Japan [doi>10.1145/1160633.1160654]
• 6: Y. Tang, S. Parsons, and E. Sklar. An agent-based model that relates investment in education to economic prosperity. Technical report, Department of Computer and Information Science, Brooklyn College, 2007.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.6 Simulation Output Analysis

General Terms:
Experimentation, Verification

Keywords:
agent-based modeling, education, simulation