Strategic Interaction Between Islamist Terror Groups : A Game Theoretic Approach
1st ed. 2020
by
Nina Ismael
Book Details
Format
Paperback / Softback
Book Series
SpringerBriefs in Economics
ISBN-10
3030513068
ISBN-13
9783030513061
Edition
1st ed. 2020
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 11th, 2020
Print length
91 Pages
Product Classification:
Terrorism, armed struggleEconomic theory & philosophy
Ksh 8,100.00
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This book applies game theory to the phenomenon of terrorism and investigates how the competition for support can influence the attack behavior of terror organizations.
This book applies game theory to the phenomenon of terrorism and investigates how the competition for support can influence the attack behavior of terror organizations. In addition, it examines the economics of terrorism.
The so-called outbidding theory, which has become increasingly popular within the field of terrorism research, argues that terror groups vying for resources will engage in more and more violence to demonstrate their capabilities and commitment to their cause. This book challenges the outbidding concept by providing a game-theoretical analysis, which shows that a contest between two terror groups can be interpreted as a race for support. This interpretation may help explain why major attacks occur at all: not as a result of outbidding, but as a result of losing the race. In addition, the author shows that rivalry between terror groups does not necessarily lead to more attacks, but can result in less terrorism due to an increased probability of attack failure induced by the race. Lastly, the model is applied to the rivalry between al-Qaeda and Daesh, elaborated on with empirical evidence.
Given its scope, the book is a must read for researches and scholars working in the fields of economics, politics, the social sciences, and military history, as well as military and political decision-makers and authorities working in the field of risk management.
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