Bayesian nonparametric models characterize instantaneous strategies in a competitive dynamic game
Game theory typically models strategic human behavior using scenarios with decision constraints that poorly represent real-world social interactions. Here, the authors show it is possible to model dynamic, real-world strategic interactions using Bayesian and reinforcement learning principles.
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Main Authors: | Kelsey R. McDonald, William F. Broderick, Scott A. Huettel, John M. Pearson |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2019
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Subjects: | |
Online Access: | https://doaj.org/article/7a267ee763994fdba6cd11b8b5c6012e |
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