@inproceedings{253a77d2b5094828b39eca09bf6e2517,
title = "Using model replication to improve the reliability of agent-based models",
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.",
keywords = "Agent-based model, Model replication, Validation, Verification",
author = "Wei Zhong and Yushim Kim",
year = "2010",
month = dec,
day = "24",
doi = "10.1007/978-3-642-12079-4_17",
language = "English (US)",
isbn = "3642120784",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "118--127",
booktitle = "Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings",
note = "3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 ; Conference date: 30-03-2010 Through 31-03-2010",
}