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CMU-ISR-09-123
Institute for Software Research
School of Computer Science, Carnegie Mellon University
CMU-ISR-09-123
300 Cities Virtual Experiment
Jessica McGillen, Michael K. Martin, Dawn Robertson,
Neal Altman, Kathleen M. Carley
September 2009
CMU-ISR-09-123.pdf
Center for the Computational Analysis of Social and Organizational
Systems
CASOS Technical Report
Keywords: IRS, Tax, Taxpayers, multi-agent modelling, intentional error,
inadvertent error, paid preparers, virtual experiment, construct,
SmartCard
This report provides an overview of the preparations required for the virtual
experiment we will conduct for the IRS as part of the 300 cities subproject.
We briefly describe the tax gap and taxpayer issues, our revised approach,
the Construct framework and the models developed for the multi-agent
simulation. Where appropriate, we provide references to other technical reports that describe in more detail the models for intentional and inadvertent
taxpayer errors, and paid preparers. We also briefly describe how we populate
Construct with agents representative of the populations of U.S. cities by
sampling from U.S. census data, deriving relevant taxpayer issues for each
agent, generating empirically reasonable social networks for each agent, and
building Construct input decks automatically. The generation of social networks based on the socio-demographic attributes of individuals found in census data
is an advance worthy of the more detailed description found yet another
technical report. We then briefly describe the design and anticipated analysis
of the 300 cities virtual experiment. We conclude with a brief reference to
the SmartCard application that will be used to deliver the results of the
virtual experiment along with socio-demographic information and taxpayer
issues for each of the cities. Details of the implementation of the SmartCard
can be found in the referenced report.
27 pages
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