Abstract

Political science uses international relations (IR) theory to explain state-actor political behavior. Research suggests that this theoretical framework can inform a predictive model incorporating features of systems dynamics (SD) and agent based (AB) modeling. The Foreign Policy Model (ForPol) herein applies Alexander Y. Lubyansky's (2014) SD model for macro-political behavior to represent behaviors between real systems and mental models. While verifying and validating the resulting SD/AB/IR holistic model requires an extensive comprehensive research agenda, the present work will take a closer examination at input parameter calibration and conducting typical runs of the SD portion of the model as a first step in the testing, verification and validation process of the proposed integrative model. This thesis proposes incorporating an AB paradigm drawn from work by Claudio Cioffi-Revilla (2009), Edward P. MacKerrow (2003), David L. Rousseau (2006), Joshua M. Epstein and Robert Axtell (1996) as a future hybrid extension. The model applies a SD approach for the modeling of macro-political aggregate behavior. Therefore, the deep analysis of the SD portion of ForPol is modeled and calibrated in Vensim, using empirical data from the 1967 Arab-Israeli Six Day War as a pilot. Interactions within the model actualize Choucri, et. al. (2006), definition of state stability and agent behavior aspects of Cioffi-Revilla's (2009) SimPol polity model. Following calibration results discussion, the present work closes with consideration of future research directions.

Graduation Date

2017

Semester

Summer

Advisor

Morrow, Patricia Bockelman

Degree

Master of Science (M.S.)

College

College of Engineering and Computer Science

Degree Program

Modeling & Simulation; Engineering

Format

application/pdf

Identifier

CFE0006750

URL

http://purl.fcla.edu/fcla/etd/CFE0006750

Language

English

Release Date

August 2017

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

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