Computing a Mechanism for a Bayesian and Partially Observable Markov Approach
The design of incentive-compatible mechanisms for a certain class of finite Bayesian partially observable Markov games is proposed using a dynamic framework. We set forth a formal method that maintains the incomplete knowledge of both the Bayesian model and the Markov system’s states. We suggest a m...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Sciendo
2023-09-01
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| coleção: | International Journal of Applied Mathematics and Computer Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.34768/amcs-2023-0034 |
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