A Generative Model of Exploration and Exploitation: A first implementation of predictive processing in abstract decision making processes.
Keywords
Loading...
Authors
Issue Date
2016-08-30
Language
en
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Known under different guises such as the multi-armed bandit problem, the trade-off between exploration and exploitation plays an influential role in human decision making processes, and consequentially, in the social and decision sciences. Predictions from reinforcement learning, the dominant approach for modelling such decision making processes, do not match observed human behaviours. Specifically, reinforcement learning cannot account for the fact that human deciders formulate generative world models, make inferences based on these models and show a developmental U curve in learning. The predictive processing account might provide for a better explanatory fit, but has not yet been implemented for such decisions. The present study investigates if – or to what extent – the predictive processing account is a candidate descriptive account for human decision making by constructing a novel and explorative predictive processing model. Although unable to provide a full test of the hypotheses, this model highlights several observations and design considerations, thereby informing future research.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen