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Stochastic Asymmetric Blotto Games: Theory and Experimental Evidence
| Content Provider | Semantic Scholar |
|---|---|
| Author | Duffy, John H. Matros, Alexander |
| Copyright Year | 2013 |
| Abstract | We study a 2-player Blotto game where the n items have asymmetric values. The winner of each item is determined stochastically using a lottery mechanism. We analyze two payoff objectives: (i) players maximize their total expected payoffs and (ii) players maximize their probability of winning a majority value of all items. We develop new theoretical results for the majority rule case and show how that payoff objective results in qualitatively different equilibrium behavior than the total expected payoff objective. We report results from an experiment where the two payoff objectives are compared and find strong support for our theoretical predictions. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.pitt.edu/~jduffy/papers/BID130723.pdf |
| Alternate Webpage(s) | http://www.pitt.edu/~jduffy/papers/bld130801.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
