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The Attack and Defense of Weakest-Link Networks

Author

Listed:
  • Dan Kovenock

    (Department of Economics, The University of Iowa)

  • Brian Roberson

    (Department of Economics, Krannert School of Management, Purdue University)

  • Roman M. Sheremeta

    () (Argyros School of Business and Economics, Chapman University)

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.

Suggested Citation

  • Dan Kovenock & Brian Roberson & Roman M. Sheremeta, 2010. "The Attack and Defense of Weakest-Link Networks," Working Papers 10-14, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:10-14
    as

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    File URL: https://www.chapman.edu/ESI/wp/Weakest%20Link%20Blotto-Sheremeta.pdf
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. McBride, Michael & Hewitt, David, 2013. "The enemy you can’t see: An investigation of the disruption of dark networks," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 32-50.
    2. Lacomba, Juan A. & Lagos, Francisco & Reuben, Ernesto & van Winden, Frans, 2017. "Decisiveness, peace, and inequality in games of conflict," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 216-229.
    3. Emmanuel Dechenaux & Dan Kovenock & Roman Sheremeta, 2015. "A survey of experimental research on contests, all-pay auctions and tournaments," Experimental Economics, Springer;Economic Science Association, vol. 18(4), pages 609-669, December.
    4. Dan J. Kovenock & Brian Roberson, 2015. "The Optimal Defense of Network Connectivity," CESifo Working Paper Series 5653, CESifo Group Munich.
    5. Subhasish M. Chowdhury & Dan Kovenock & David Rojo Arjona & Nathaniel T. Wilcox, 2016. "Focality and asymmetry in multi-battle contests," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 16-12, School of Economics, University of East Anglia, Norwich, UK..
    6. Mago, Shakun & Sheremeta, Roman, 2018. "New Hampshire Effect: Behavior in Sequential and Simultaneous Multi-Battle Contests," MPRA Paper 85337, University Library of Munich, Germany.
    7. 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 1-6, December.
    8. Holt, Charles & Kydd, Andrew & Razzolini, Laura & Sheremeta, Roman, 2014. "The Paradox of Misaligned Profiling: Theory and Experimental Evidence," MPRA Paper 56508, University Library of Munich, Germany.
    9. repec:eee:joepsy:v:63:y:2017:i:c:p:117-134 is not listed on IDEAS
    10. Roman M. Sheremeta, 2013. "Overbidding And Heterogeneous Behavior In Contest Experiments," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 491-514, July.
    11. Erik O. Kimbrough & Kevin Laughren & Roman Sheremeta, 2017. "War and Conflict in Economics: Theories, Applications, and Recent Trends," Discussion Papers dp17-10, Department of Economics, Simon Fraser University.
    12. Dan Kovenock & Brian Roberson, 2010. "The Optimal Defense of Networks of Targets," Purdue University Economics Working Papers 1251, Purdue University, Department of Economics.
    13. Shakun D. Mago & Roman M. Sheremeta, 2012. "Multi-Battle Contests: An Experimental Study," Working Papers 12-06, Chapman University, Economic Science Institute.
    14. Cary Deck & Roman M. Sheremeta, 2012. "Fight or Flight?," Journal of Conflict Resolution, Peace Science Society (International), vol. 56(6), pages 1069-1088, December.
    15. Lacomba, Juan A. & Lagos, Francisco & Reuben, Ernesto & van Winden, Frans, 2014. "On the escalation and de-escalation of conflict," Games and Economic Behavior, Elsevier, vol. 86(C), pages 40-57.
    16. Zeynep B. Irfanoglu & Shakun D. Mago & Roman M. Sheremeta, 2014. "The New Hampshire Effect: Behavior in Sequential and Simultaneous Election Contests," Working Papers 14-15, Chapman University, Economic Science Institute.
    17. Irfanoglu, Zeynep & Mago, Shakun & Sheremeta, Roman, 2015. "New Hampshire Effect: Behavior in Sequential and Simultaneous Election Contests," MPRA Paper 67520, University Library of Munich, Germany.
    18. repec:bpj:pepspp:v:18:y:2012:i:3:p:6:n:6 is not listed on IDEAS
    19. Deck, Cary & Sheremeta, Roman, 2015. "Tug-of-War in the Laboratory," MPRA Paper 67521, University Library of Munich, Germany.
    20. Avrahami, Judith & Kareev, Yaakov & Todd, Peter M. & Silverman, Boaz, 2014. "Allocation of resources in asymmetric competitions: How do the weak maintain a chance of winning?," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 161-174.

    More about this item

    Keywords

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

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions

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