Modeling and Simulation for Analyzing Global Events (PDF)

one-of-a-kind introduction to the theory and application of
modeling and simulation techniques in the realm of international
studies

Modeling and Simulation for Analyzing Global Events
provides an orientation to the theory and application of modeling
and simulation techniques in social science disciplines. This book
guides readers in developing quantitative and numeric
representations of real-world events based on qualitative analysis.
With an emphasis on gathering and mapping empirical data, the
authors detail the steps needed for accurately analyzing global
events and outline the selection and construction of the best model
for understanding the event¿s data.

Providing a theoretical foundation while also illustrating
modern examples, the book contains three parts:

* Advancing Global Studies--introduces the what,
when, and why of modeling and simulation and also explores its
brief history, various uses, and some of the advantages and
disadvantages of modeling and simulation in problem solving. In
addition, the differences in qualitative and quantitative research
methods, mapping data, and conducting model validation are also
discussed.

* Modeling Paradigms--examines various methods of
modeling including system dynamics, agent-based modeling, social
network modeling, and game theory. This section also explores the
theory and construction of these modeling paradigms, the
fundamentals for their application, and various contexts for their
use.

* Modeling Global Events--applies the modeling
paradigms to four real-world events that are representative of
several fundamental areas of social science studies: internal
commotion within an anarchic state, a multi-layered study of the
Solidarity movement in Poland, uni-lateral military intervention,
and the issue of compellence and deterrence during a national
security crisis.

Modeling and Simulation for Analyzing Global Events is an
excellent book for statistics, engineering, computer science,
economics, and social sciences courses on modeling and simulation
at the upper-undergraduate and graduate levels. It is also an
insightful reference for professionals who would like to develop
modeling and simulation skills for analyzing and communicating
human behavior observed in real-world events and complex global
case studies.