Method and apparatus for modeling probability matching human subjects in n-arm bandit tasks
Described is a system for modeling probability matching in human subjects. Features related to probability matching are extracted from a set of human subject responses from behavioral tasks. Neural network model instances are trained on the set of features, resulting in a set of trained neural netwo...
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| Format | Patent |
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| Language | English |
| Published |
09.04.2019
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| Online Access | Get full text |
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| Summary: | Described is a system for modeling probability matching in human subjects. Features related to probability matching are extracted from a set of human subject responses from behavioral tasks. Neural network model instances are trained on the set of features, resulting in a set of trained neural network model instances. A set of model parameters are derived from the set of trained neural network instances, and the set of derived model parameters are used to emulate human performance on novel data. |
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