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How do people learn how to plan?
{How does the brain learn how to plan? We reverse-engineer people\textquotesingles underlying learning mechanisms by combining rational process models of cognitive plasticity with recently developed empirical methods that allow us to trace the temporal evolution of people\textquotesingles planning strategies. We find that our Learned Value of Computation model (LVOC) accurately captures people\textquotesingles average learning curve. However, there were also substantial individual differences in metacognitive learning that are best understood in terms of multiple different learning mechanisms -- including strategy selection learning. Furthermore, we observed that LVOC could not fully capture people\textquotesingles ability to adaptively decide when to stop planning. We successfully extended the LVOC model to address these discrepancies. Our models broadly capture people\textquotesingles ability to improve their decision mechanisms and represent a significant step towards reverse-engineering how the brain learns increasingly more effective cognitive strategies through its interaction with the environment.}
@inproceedings{item_3155699, title = {{How do people learn how to plan?}}, booktitle = {{Conference on Cognitive Computational Neuroscience (CCN 2019)}}, abstract = {{How does the brain learn how to plan? We reverse-engineer people\textquotesingles underlying learning mechanisms by combining rational process models of cognitive plasticity with recently developed empirical methods that allow us to trace the temporal evolution of people\textquotesingles planning strategies. We find that our Learned Value of Computation model (LVOC) accurately captures people\textquotesingles average learning curve. However, there were also substantial individual differences in metacognitive learning that are best understood in terms of multiple different learning mechanisms -- including strategy selection learning. Furthermore, we observed that LVOC could not fully capture people\textquotesingles ability to adaptively decide when to stop planning. We successfully extended the LVOC model to address these discrepancies. Our models broadly capture people\textquotesingles ability to improve their decision mechanisms and represent a significant step towards reverse-engineering how the brain learns increasingly more effective cognitive strategies through its interaction with the environment.}}, pages = {826--829}, address = {Berlin, Germany}, year = {2019}, slug = {item_3155699}, author = {Jain, YR and Gupta, S and Rakesh, V and Dayan, P and Callaway, F and Lieder, F} }