Optimizing counter-terror operations: Should one fight fire with "fire" or "water"?

This paper deals dynamically with the question of how recruitment to terror organizations is influenced by counter-terror operations. This is done within an optimal control model, where the key state is the (relative) number of terrorists and the key controls are two types of counter-terror tactics, one (''water'') that does not and one (''fire'') that does provoke recruitment of new terrorists. The model is nonlinear and does not admit analytical solutions, but an efficient numerical implementation of Pontryagin's minimum principle allows for solution with base case parameters and considerable sensitivity analysis. Generally, this model yields two different steady states, one where the terror organization is nearly eradicated and one with a high number of terrorists. Whereas water strategies are used at almost any time, it can be optimal not to use fire strategies if the number of terrorists is below a certain threshold.

[1]  Kazuo Nishimura,et al.  A Complete Characterization of Optimal Growth Paths in an Aggregated Model with a Non-Concave Production Function , 1983 .

[2]  R. Zeckhauser,et al.  The Ecology of Terror Defense , 2003 .

[3]  Ngo Van Long,et al.  Optimal control theory and static optimization in economics: Bibliography , 1992 .

[4]  Willy Govaerts,et al.  MATCONT: A MATLAB package for numerical bifurcation analysis of ODEs , 2003, TOMS.

[5]  Carlos Castillo-Chavez,et al.  Models for the transmission dynamics of fanatic behaviors , 2010 .

[6]  ALEX MINTZ,et al.  What Happened to Suicide Bombings in Israel? Insights from a Terror Stock Model , 2005 .

[7]  Jonathan P Caulkins,et al.  Models pertaining to how drug policy should vary over the course of a drug epidemic. , 2005, Advances in health economics and health services research.

[8]  Carlos Castillo-Chavez,et al.  Bioterrorism: Mathematical Modeling Applications in Homeland Security , 2003 .

[9]  Peter W. Greenwood,et al.  Three Strikes and You're Out: Estimated Benefits and Costs of California's New Mandatory-Sentencing Law , 1995 .

[10]  Arnold M. Howitt,et al.  Countering terrorism : dimensions of preparedness , 2003 .

[11]  Gustav Feichtinger,et al.  Optimale Kontrolle ökonomischer Prozesse : Anwendungen des Maximumprinzips in den Wirtschaftswissenschaften , 1986 .

[12]  P B Heymann DEALING WITH TERRORISM AFTER SEPTEMBER 11, 2001 - AN OVERVIEW. IN: COUNTERING TERRORISM - DIMENSIONS OF PREPAREDNESS , 2003 .

[13]  A. Skiba,et al.  Optimal Growth with a Convex-Concave Production Function , 1978 .