Agent-Based Modeling and Simulation

  • Raman ParanjapeEmail author
  • Zhanle (Gerald) Wang
  • Simerjit Gill
Part of the Intelligent Systems Reference Library book series (ISRL, volume 133)


Computer simulation, or just simulation, is a decision support technique that enables stakeholders to conduct experiments with models that represent real-world systems of interest.


  1. 1.
    M. Pidd, Computer simulation in management science: Wiley, (2004)Google Scholar
  2. 2.
    J. Jun, S. Jacobson, J. Swisher, Application of discrete-event simulation in health care clinics: a survey. J. Oper. Res. Soc. 50, 109–123 (1999)CrossRefzbMATHGoogle Scholar
  3. 3.
    S.C. Brailsford, Advances and challenges in healthcare simulation modeling: tutorial, 2007, pp. 1436–1448Google Scholar
  4. 4.
    N. Mustafee, K. Katsaliaki, S.J.E. Taylor, Profiling literature in healthcare simulation. Simulation 86, 543 (2010)CrossRefGoogle Scholar
  5. 5.
    H.S. Nwana, Software agents: An overview. Knowl. Eng. Rev 11, 205–244 (1996)CrossRefGoogle Scholar
  6. 6.
    C. Hewitt, Viewing control structures as patterns of passing messages. Artif. Intell. 8, 323–364 (1977)CrossRefGoogle Scholar
  7. 7.
    M. Wooldridge, N.R. Jennings, Intelligent agents: theory and practice. Knowl. Eng. Rev. 10, 115–152 (1995)CrossRefGoogle Scholar
  8. 8.
    S. Gill, R. Paranjape, A Review of recent contribution in agent-based healthcare modeling, in Multi-agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement, ed. by R. Paranjape, A. Sadanand. Information Science Reference-Imprint of: IGI Publishing, 2009, pp. 26–44Google Scholar
  9. 9.
    C. Castelfranchi, Guarantees for autonomy in cognitive agent architecture, Intelligent Agents, pp. 56–70, 1995Google Scholar
  10. 10.
    M.R. Genesereth, S.P. Ketchpel, Software agents, Commun. ACM, vol. 37, pp. 48–53, 147, 1994Google Scholar
  11. 11.
    J. Ferber, Simulating with reactive agents. Many Agent Simul. Artif. Life 36, 8–28 (1994)Google Scholar
  12. 12.
    P. Maes, Intelligent software, 1997, pp. 41–43Google Scholar
  13. 13.
    L.N. Foner, What’s an agent, anyway? a sociological case study, FTP Report MIT Media Lab, vol. 1, 1993Google Scholar
  14. 14.
    D.B. Lange, M. Oshima, Seven good reasons for mobile agents. Commun. ACM 42, 88–89 (1999)CrossRefGoogle Scholar
  15. 15.
    D. Lange, M. Oshima, O. Mishuru, Programming and deploying Java mobile agents with Aglets, 1998Google Scholar
  16. 16.
    M.J. Wooldridge, An introduction to multiagent systems: Wiley, 2002Google Scholar
  17. 17.
    E. Oliveira, K. Fischer, O. Stepankova, Multi-agent systems: which research for which applications. Robot Auton. Syst. 27, 91–106 (1999)CrossRefGoogle Scholar
  18. 18.
    K.P. Sycara, Multiagent systems. AI Mag 19, 79 (1998)Google Scholar
  19. 19.
    C. Gibbs, TEEMA Reference Guide, Version 1.0, 2000Google Scholar
  20. 20.
    R. Martens, L. Benedicenti, TEEMA TRLabs Execution Environment for Mobile Agents, 2001Google Scholar
  21. 21.
    J. Nealon, A. Moreno, Agent-based applications in health care, Applications of software agent technology in the health care domain, pp. 3–18, 2003Google Scholar
  22. 22.
    P.O. Siebers, C.M. Macal, J. Garnett, D. Buxton, M. Pidd, Discrete-event simulation is dead, long live agent-based simulation! J. Simul. 4, 204–210 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2018

Authors and Affiliations

  • Raman Paranjape
    • 1
    Email author
  • Zhanle (Gerald) Wang
    • 2
  • Simerjit Gill
    • 3
  1. 1.Faculty of Engineering and Applied ScienceUniversity of ReginaReginaCanada
  2. 2.University of ReginaFaculty of Engineering and Applied ScienceReginaCanada
  3. 3.ReginaCanada

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