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Recurrent neural networks have been shown to provide a flexible way for modelling human behaviour. In this talk, I will present different recurrent neural network architectures for modelling behavioural and neural data and compare their abilities with traditional computational models. I’ll further present a reinforcement-learning framework in which recurrent neural networks can be used to influence human choices and explore its ability in simple scenarios to complex social decision-making tasks.

 

 

 

 

 

 

 

Amir Dezfouli
Senior Research Scientist
CSIRO
Australia

 

 

 

 

 

Amir Dezfouli – Recurrent neural networks for modelling and influencing human decision-making.