Bridging Level-K to Nash Equilibrium
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866909728437698560 |
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| author | Levin, Dan Zhang, Luyao |
| author_facet | Levin, Dan Zhang, Luyao |
| contents | We introduce NLK, a model that connects the Nash equilibrium (NE) and Level-K. It allows a player in a game to believe that her opponent may be either less or as sophisticated as, she is, a view supported in psychology. We apply NLK to data from five published papers on static, dynamic, and auction games. NLK provides different predictions than those of the NE and Level-K; moreover, a simple version of NLK explains the experimental data better in many cases, with the same or lower number of parameters. We discuss extensions to games with more than two players and heterogeneous beliefs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2202_12292 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Bridging Level-K to Nash Equilibrium Levin, Dan Zhang, Luyao General Economics Economics Computer Science and Game Theory Applications Computation J.4 We introduce NLK, a model that connects the Nash equilibrium (NE) and Level-K. It allows a player in a game to believe that her opponent may be either less or as sophisticated as, she is, a view supported in psychology. We apply NLK to data from five published papers on static, dynamic, and auction games. NLK provides different predictions than those of the NE and Level-K; moreover, a simple version of NLK explains the experimental data better in many cases, with the same or lower number of parameters. We discuss extensions to games with more than two players and heterogeneous beliefs. |
| title | Bridging Level-K to Nash Equilibrium |
| topic | General Economics Economics Computer Science and Game Theory Applications Computation J.4 |
| url | https://arxiv.org/abs/2202.12292 |