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The Attack and Defense of Weakest-Link Networks

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Author Info

  • Dan Kovenock
  • Brian Roberson
  • Roman M. Sheremeta

Abstract

This paper experimentally examines behavior in a two-player game of attack and defense of a weakest-link network of targets, in which the attacker’s objective is to successfully attack at least one target and the defender’s objective is diametrically opposed .We apply two benchmark contest success functions (CSFs): the auction CSF and the lottery CSF. Consistent with the theoretical prediction, under the auction CSF, attackers utilize a stochastic “guerilla warfare” strategy - in which a single random target is attacked - more than 80% of the time. Under the lottery CSF, attackers utilize the stochastic guerilla warfare strategy almost 45% of the time, contrary to the theoretical prediction of an equal allocation of forces across the targets.

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Bibliographic Info

Paper provided by Purdue University, Department of Economics in its series Purdue University Economics Working Papers with number 1256.

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Length: 32 pages
Date of creation: Sep 2010
Date of revision:
Handle: RePEc:pur:prukra:1256

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Related research

Keywords: Colonel Blotto; conflict resolution; weakest-link; best-shot; multi-dimensional resource allocation; experiments;

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References

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  1. Roman M. Sheremeta, 2011. "Contest Design: An Experimental Investigation," Economic Inquiry, Western Economic Association International, vol. 49(2), pages 573-590, 04.
  2. Dan Kovenock & Brian Roberson, 2012. "Strategic Defense And Attack For Series And Parallel Reliability Systems: Comment," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(5), pages 507-515, October.
  3. Vicki Bier & Santiago Oliveros & Larry Samuelson, 2007. "Choosing What to Protect: Strategic Defensive Allocation against an Unknown Attacker," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(4), pages 563-587, 08.
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  5. Potters, J.J.M. & Vries, C.G. de & Winden, F.A.A.M. van, 1998. "An experimental examination of rational rentseeking," Open Access publications from Tilburg University urn:nbn:nl:ui:12-79319, Tilburg University.
  6. Sergiu Hart, 2008. "Discrete Colonel Blotto and General Lotto games," International Journal of Game Theory, Springer, vol. 36(3), pages 441-460, March.
  7. Davis, Douglas D & Reilly, Robert J, 1998. " Do Too Many Cooks Always Spoil the Stew? An Experimental Analysis of Rent-Seeking and the Role of a Strategic Buyer," Public Choice, Springer, vol. 95(1-2), pages 89-115, April.
  8. Chowdhury, Subhasish M. & Kovenock, Dan & Sheremeta, Roman M., 2009. "An experimental investigation of Colonel Blotto games," Discussion Papers, Research Unit: Market Processes and Governance SP II 2009-08, Social Science Research Center Berlin (WZB).
  9. Paul Milgrom, 2007. "Package Auctions and Exchanges," Econometrica, Econometric Society, vol. 75(4), pages 935-965, 07.
  10. Tyler Moore & Richard Clayton & Ross Anderson, 2009. "The Economics of Online Crime," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 3-20, Summer.
  11. Jacob K. Goeree & Charles A. Holt & Thomas R. Palfrey, 2000. "Quantal Response Equilibrium and Overbidding in Private-Value Auctions," Virginia Economics Online Papers 345, University of Virginia, Department of Economics.
  12. John Cadigan & Pamela Schmitt, 2010. "Strategic entry deterrence and terrorism: Theory and experimental evidence," Public Choice, Springer, vol. 143(1), pages 3-22, April.
  13. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
  14. Hausken, Kjell, 2008. "Strategic defense and attack for series and parallel reliability systems," European Journal of Operational Research, Elsevier, vol. 186(2), pages 856-881, April.
  15. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
  16. Gneezy, Uri & Smorodinsky, Rann, 2006. "All-pay auctions--an experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 61(2), pages 255-275, October.
  17. Dan Kovenock & Brian Roberson, 2010. "The Optimal Defense of Networks of Targets," Purdue University Economics Working Papers 1251, Purdue University, Department of Economics.
  18. Hausken, Kjell, 2010. "Strategic Defense and Attack for Series and Parallel Reliability Systems: Reply on Comment," MPRA Paper 25497, University Library of Munich, Germany, revised 02 Oct 2010.
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Citations

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Cited by:
  1. Roman M. Sheremeta, 2013. "Overbidding and Heterogeneous Behavior in Contest Experiments," Working Papers 13-06, Chapman University, Economic Science Institute.
  2. Charles A. Holt & Andrew Kydd & Laura Razzolini & Roman Sheremeta, 2014. "The Paradox of Misaligned Profiling: Theory and Experimental Evidence," Working Papers 14-09, Chapman University, Economic Science Institute.
  3. Cary Deck & Roman M. Sheremeta, 2012. "Fight or Flight?," Journal of Conflict Resolution, Peace Science Society (International), vol. 56(6), pages 1069-1088, December.
  4. Baba Yumiko, 2012. "A Note on a Comparison of Simultaneous and Sequential Colonel Blotto Games," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 18(3), pages 6, December.
  5. Lacomba, Juan A. & Lagos, Francisco & Reuben, Ernesto & van Winden, Frans, 2013. "On the Escalation and De-Escalation of Conflict," IZA Discussion Papers 7492, Institute for the Study of Labor (IZA).
  6. Shakun D. Mago & Roman M. Sheremeta, 2012. "Multi-Battle Contests: An Experimental Study," Working Papers 12-06, Chapman University, Economic Science Institute.

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