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Using Model Replication to Improve the Reliability of Agent-Based Models

  • Conference paper
Advances in Social Computing (SBP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6007))

Abstract

The basic presupposition of model replication activities for a computational model such as an agent-based model (ABM) is that, as a robust and reliable tool, it must be replicable in other computing settings. This assumption has recently gained attention in the community of artificial society and simulation due to the challenges of model verification and validation. Illustrating the replication of an ABM representing fraudulent behavior in a public service delivery system originally developed in the Java-based MASON toolkit for NetLogo by a different author, this paper exemplifies how model replication exercises provide unique opportunities for model verification and validation process. At the same time, it helps accumulate best practices and patterns of model replication and contributes to the agenda of developing a standard methodological protocol for agent-based social simulation.

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Author information

Authors and Affiliations

  1. Arizona State University, Phoenix, AZ, USA

    Wei Zhong & Yushim Kim

Authors
  1. Wei Zhong
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  2. Yushim Kim
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Editor information

Editors and Affiliations

  1. Department of Sociology, University of Hawaii, 2424 Maile Way, Saunders Hall 237, 956-7234, Honolulu, HI, USA

    Sun-Ki Chai

  2. Air Force Research Laboratory, Rome Research Site, AFRL/RIEF, 525 Brooks Road, NY 13441, Rome, USA

    John J. Salerno

  3. Department of Behavioral and Social Sciences Research, National Institute of Health (NIH), 31 Center Drive, 20892-2027, Bethesda, MD, USA

    Patricia L. Mabry

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Zhong, W., Kim, Y. (2010). Using Model Replication to Improve the Reliability of Agent-Based Models. In: Chai, SK., Salerno, J.J., Mabry, P.L. (eds) Advances in Social Computing. SBP 2010. Lecture Notes in Computer Science, vol 6007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12079-4_17

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  • DOI: https://doi.org/10.1007/978-3-642-12079-4_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12078-7

  • Online ISBN: 978-3-642-12079-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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