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| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | A class of N-player Colonel Blotto games with multidimensional private information |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Operations Research Letters |
| Publisher | Elsevier |
| Geographical Reach | international |
| ISSN | 0167-6377 |
| Volume | 49 |
| Number | 3 |
| Page Range | 418 - 425 |
| Date | 2021 |
| Abstract Text | In this paper, we study N-player Colonel Blotto games with incomplete information about battlefield valuations. Such games arise in job markets, research and development, electoral competition, security analysis, and conflict resolution. For M ≥ N + 1 battlefields, we identify a Bayes-Nash equilibrium in which the resource allocation to a given battlefield is strictly monotone in the valuation of that battlefield. We also explore extensions such as heterogeneous budgets, the case M ≤ N, full-support type distributions, and network games. |
| Free access at | DOI |
| Related URLs | |
| Digital Object Identifier | 10.1016/j.orl.2021.03.010 |
| Other Identification Number | merlin-id:21043 |
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| Keywords | Colonel Blotto games, private information, Bayes–Nash equilibrium, generalized Dirichlet distributions, networks |