Virtual Pakistan 2013: An Agent-based Modeling Analysis

Loading...
Thumbnail Image
Penn collection
CUREJ - College Undergraduate Research Electronic Journal
Degree type
Discipline
Subject
agent-based modeling
virtualization
pakistan
agent-class
identity
parameter
time step
attribute
Social Sciences
Political Science
Ian Lustick
Lustick
Ian
Political Science
Funder
Grant number
License
Copyright date
Distributor
Related resources
Contributor
Abstract

This thesis suggests that agent-based modeling provides an effective way to understand and analyze the internal political dynamics of Pakistan. The first section describes Pakistan’s current situation and introduces a study published by the Council on Foreign Relations (CFR) outlining five possible futures the nation could experience. After stating the five futures, I hypothesize that agent-based modeling could enhance this study and provide arguments that social scientists use to justify this quantitative approach. The next portion of the thesis intricately describes all aspects of the model-building process. The experimentation process and metrics are then discussed and finally, the experiment results are compared with the CFR study on Pakistan. The thesis concludes that agent-based modeling provides a complementary, systematic and logical way to examine nations’ political futures. Rather than forecasting, agent-based models provide researchers with a palette of possible trajectories.

Advisor
Ian
Lustick
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2013-04-01
Journal title
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection