Bayesian open games
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2019
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| Subjects: | |
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| _version_ | 1866914901107146752 |
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| author | Bolt, Joe Hedges, Jules Zahn, Philipp |
| author_facet | Bolt, Joe Hedges, Jules Zahn, Philipp |
| contents | This paper generalises the treatment of compositional game theory as introduced by Ghani et al. in 2018, where games are modelled as morphisms of a symmetric monoidal category. From an economic modelling perspective, the notion of a game in the work by Ghani et al. is not expressive enough for many applications. This includes stochastic environments, stochastic choices by players, as well as incomplete information regarding the game being played. The current paper addresses these three issues all at once. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1910_03656 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Bayesian open games Bolt, Joe Hedges, Jules Zahn, Philipp Computer Science and Game Theory Category Theory This paper generalises the treatment of compositional game theory as introduced by Ghani et al. in 2018, where games are modelled as morphisms of a symmetric monoidal category. From an economic modelling perspective, the notion of a game in the work by Ghani et al. is not expressive enough for many applications. This includes stochastic environments, stochastic choices by players, as well as incomplete information regarding the game being played. The current paper addresses these three issues all at once. |
| title | Bayesian open games |
| topic | Computer Science and Game Theory Category Theory |
| url | https://arxiv.org/abs/1910.03656 |