An experimental investigation of Colonel Blotto games/ created by Subhasish M. Chowdhury, Dan Kovenock and Roman M. Sheremeta
Material type:
- text
- unmediated
- volume
- 0938-2259
- HB119 ECO
Item type | Current library | Call number | Vol info | Copy number | Status | Notes | Date due | Barcode | |
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Main Library - Special Collections | HB119 ECO (Browse shelf(Opens below)) | vol. 53, no. 1 (pages 833-862) | SP21288 | Not for loan | For in house use | |||
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Main Library - Special Collections | HB119 ECO (Browse shelf(Opens below)) | Vol. 53, no.3 (pages 833-862) | SP21041 | Not for loan | For in house use |
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 the main qualitative predictions of the theory. In the auction treatment, where winning a battlefield is deterministic, disadvantaged players use a “guerilla warfare” strategy that 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. However, we also find interesting behavioral deviations from the theory and discuss their implications.
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