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A Computational Theory of Endogenous Norm Change: The NormSim Agent-Based Model in MASON

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dc.contributor.advisor Cioffi-Revilla, Claudio
dc.contributor.author Rouleau, Mark D.
dc.creator Rouleau, Mark D.
dc.date 2011-05-06
dc.date.accessioned 2011-08-22T17:04:30Z
dc.date.available NO_RESTRICTION en_US
dc.date.available 2011-08-22T17:04:30Z
dc.date.issued 2011-08-22
dc.identifier.uri http://hdl.handle.net/1920/6595
dc.description.abstract The current study presents the NormSim Agent-Based Model in MASON. NormSim conducts a computational analysis of the International Relations theory of constructivism. NormSim explores the metastable dynamics of norms through the interactions of heterogeneous agents embedded within a complex social system. The goal is to explain how the social complexity of international relations generates metastability. The use of ABM and the MASON simulation toolkit make it possible to explore this process from a formal experimental perspective. This is advantageous for constructivist research that typically must rely on qualitative analysis alone to justify complex theoretical assumptions. NormSim demonstrates the use of ABM to test the logical consistency of constructivist claims. It also extends constructivist logic to better understand why international norms lead to complex conformity patterns and long run systemic change. NormSim provides a general computational theory to explain this phenomenon. en_US
dc.language.iso en_US en_US
dc.subject agent-based modeling en_US
dc.subject simulation en_US
dc.subject complexity en_US
dc.subject norms en_US
dc.subject international relations en_US
dc.subject constructivism en_US
dc.title A Computational Theory of Endogenous Norm Change: The NormSim Agent-Based Model in MASON en_US
dc.type Dissertation en
thesis.degree.name PhD in Computational Social Science en_US
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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