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dc.contributor.advisor Axtell, Robert L.
dc.contributor.author Koehler, Matthew en_US
dc.creator Koehler, Matthew en_US
dc.date.accessioned 2014-08-28T03:11:23Z
dc.date.available 2014-08-28T03:11:23Z
dc.date.issued 2013-08 en_US
dc.identifier.uri http://hdl.handle.net/1920/8770
dc.description.abstract Many have written about how the Common Law should evolve. The few attempts to demonstrate this empirically, however, have not found evidence that this evolution takes place. This study uses a representation of the Article III United States Federal Courts and an agent-based model to demonstrate that a judicial system may evolve while simultaneously emitting signals to the contrary by evolving via a punctuated equilibrium dynamic. The study then proceeds to demonstrate that agent-based modeling is a viable method for understanding the performance of judicial institutions. After reviewing concepts of jurisprudence and computational social science, the development of the model is discussed followed by a presentation of the results of the aforementioned experiments. en_US
dc.format.extent 160 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2013 Matthew Koehler en_US
dc.subject Law en_US
dc.subject Computer science en_US
dc.subject Political Science en_US
dc.subject Agent-Based Modeling en_US
dc.subject Computational Social Science en_US
dc.subject Jurisprudence en_US
dc.subject Legal Institutions en_US
dc.title The Blind Lawmaker en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computational Social Science en
thesis.degree.grantor George Mason University en


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  • Krasnow Institute for Advanced Study
    Seeking to understand the human mind: how it came to be, how it relates to the electrochemical activities of networks of nerve cells in the brain, how it can be modeled on computers, and how it is a vital component of what we are.

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