Using deep learning to predict human decisions and using cognitive models to explain deep learning models.

ABSTRACT: Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision making, due to their high capacity and data-driven design. While these models may be able to go beyond theory-driven models in predicting human behaviour, their opaque nature limits their ability to explain how an operation is carried out, undermining their usefulness as a scientific tool. Here we suggest the use of a DNN model as an exploratory tool to identify predictable and consistent human behaviour, and using explicit, theory-driven models, to characterise the high-capacity model. To demonstrate our approach, we trained an exploratory DNN model to predict human decisions in a four-armed bandit task. We found that this model was more accurate than t

SUBMITTER: Fintz M 

PROVIDER: S-EPMC8933393 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature