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\title{TJHSST Senior Research Project\\ Exploring Artificial Societies Through Sugarscape\\ 2007-2008}
\author{Jordan Albright}
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\begin{abstract}
Agent based modeling is a method used to understand complicated systems through the simple rules of behavior which its agents follow.  It can be used to explain simpler systems, such as the pattern in which birds fly, to more complicated systems, such as self-segregating neighborhoods (Macy, 2001). 
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{\bf Keywords:} agent based modeling, wealth distribution, Sugarscape, social science
\end{abstract}

\section{Problem Statement and Purpose}
Agent based modeling, a bottom-up method of modeling complex situations, has become a useful method for simulating problems in the field of social science.  The agents, the main building blocks of the model, are designed to follow a set of rules or guidelines.  Their interactions result in a more sophisticated global result. 
\section{Bibliography}
Epstein, J. M. and R. Axtell, \underline{Growing Artificial Societies: Social Science from the Bottom Up}, MIT Press and Brookings Institution Press: Cambridge, Massachusetts, and Brookings Press: Washington, D.C. 1996.
\newline Macy, M., and Willer, R., "From factors to actors: Computational sociology and agent based modeling", Annual Review of Sociology, 143-66. Retrieved January/February 13, 2008
\newline Kuznar, L., and Fredrick, W. (2005, June). Simulating the Effect of Nepotism on Political Risk Taking and Social Unrest. NAACSOS. Retrieved January 14, 2008

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