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Stochastic asymmetric Blotto games: An experimental study
| Content Provider | Semantic Scholar |
|---|---|
| Author | Duffy, John H. Matros, Alexander |
| Copyright Year | 2017 |
| Abstract | We consider a model where two players compete for n items having different common values in a Blotto game. Players must decide how to allocate their common budgets across all n items. The winner of each item is determined stochastically using a lottery mechanism which yields a unique equilibrium in pure strategies. We analyze behavior under two competing payoff objectives found in the Blotto games literature that have not been previously compared: (i) players aim to maximize their total expected payoff and (ii) players maximize the probability of winning a majority value of all n items. We report results from an experiment where subjects face both payoff objectives and we find support for the differing theoretical predictions. |
| Starting Page | 88 |
| Ending Page | 105 |
| Page Count | 18 |
| File Format | PDF HTM / HTML |
| DOI | 10.1016/j.jebo.2017.05.005 |
| Alternate Webpage(s) | http://www.socsci.uci.edu/~duffy/papers/blottojebo2017.pdf |
| Alternate Webpage(s) | http://www.socsci.uci.edu/~duffy/papers/blotto160426.pdf |
| Alternate Webpage(s) | https://doi.org/10.1016/j.jebo.2017.05.005 |
| Volume Number | 139 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
