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An Experimental Investigation of Colonel Blotto Games

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Author Info

  • Subhasish M. Chowdhury
  • Dan Kovenock J.
  • Roman M. Sheremeta

Abstract

This article examines behavior in the two-player, constant-sum Colonel Blotto game with asymmetric resources in which players maximize the expected number of battlefields won. The experimental results support all major theoretical predictions. In the auction treatment, where winning a battlefield is deterministic, disadvantaged players use a “guerilla warfare” strategy which stochastically allocates zero resources to a subset of battlefields. Advantaged players employ a “stochastic complete coverage” strategy, allocating random, but positive, resource levels across the battlefields. In the lottery treatment, where winning a battlefield is probabilistic, both players divide their resources equally across all battlefields.

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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 2688.

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Date of creation: 2009
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Handle: RePEc:ces:ceswps:_2688

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Related research

Keywords: Colonel Blotto; conflict resolution; contest theory; multi-dimensional resource allocation; rent-seeking; experiments;

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Citations

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Cited by:
  1. Godinho, Pedro & Dias, Joana, 2013. "Two-player simultaneous location game: Preferential rights and overbidding," European Journal of Operational Research, Elsevier, vol. 229(3), pages 663-672.
  2. Cary Deck & Roman M. Sheremeta, 2012. "Fight or Flight?," Journal of Conflict Resolution, Peace Science Society (International), vol. 56(6), pages 1069-1088, December.
  3. Maria Montero & Alex Possajennikov & Martin Sefton & Theodore Turocy, 2013. "Majoritarian Contests with Asymmetric Battlefields: An Experiment," Discussion Papers 2013-12, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
  4. Arad, Ayala & Rubinstein, Ariel, 2012. "Multi-dimensional iterative reasoning in action: The case of the Colonel Blotto game," Journal of Economic Behavior & Organization, Elsevier, vol. 84(2), pages 571-585.
  5. Brian Roberson & Dmitriy Kvasov, 2008. "The Non-Constant-Sum Colonel Blotto Game," CESifo Working Paper Series 2378, CESifo Group Munich.
  6. Denter, Philipp, 2013. "A theory of communication in political campaigns," Economics Working Paper Series 1302, University of St. Gallen, School of Economics and Political Science.
  7. Roman M. Sheremeta, 2013. "Overbidding and Heterogeneous Behavior in Contest Experiments," Working Papers 13-06, Chapman University, Economic Science Institute.
  8. John Duffy & Alexander Matros, 2013. "Stochastic Asymmetric Blotto Games: Theory and Experimental Evidence," Working Papers 509, University of Pittsburgh, Department of Economics, revised Nov 2013.
  9. Dan Kovenock J. & Brian Roberson & Roman M. Sheremeta, 2010. "The Attack and Defense of Weakest-Link Networks," CESifo Working Paper Series 3211, CESifo Group Munich.
  10. Michael Funke & Marc Gronwald, 2009. "A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth," CESifo Working Paper Series 2692, CESifo Group Munich.
  11. Shakun D. Mago & Roman M. Sheremeta, 2012. "Multi-Battle Contests: An Experimental Study," Working Papers 12-06, Chapman University, Economic Science Institute.
  12. Michael McBride & David Hewitt, 2012. "The Enemy You Can't See: An Investigation of the Disruption of Dark Networks," Working Papers 121307, University of California-Irvine, Department of Economics.
  13. Sudipta Sarangi & Dan Kovenock & Matt Wiser, . "All-Pay Hex: A Multibattle Contest With Complementarities," Departmental Working Papers 2012-06, Department of Economics, Louisiana State University.
  14. Stefan Homburg, 2011. "Colonel Blotto und seine ökonomischen Anwendungen," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 12(1), pages 1-11, 02.

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