How are people able to plan so efficiently despite limited cognitive resources? We aimed to answer this question by extending an existing model of human task decomposition that can explain a wide range of simple planning problems by adding structure information to the task to facilitate planning in more complex tasks. The extended model was then applied to a more complex planning domain of spatial navigation. Our results suggest that our framework can correctly predict the navigation strategies of the majority of the participants in an online experiment.
@article{arxiv.2310.02221,
title = {Structurally guided task decomposition in spatial navigation tasks},
author = {Ruiqi He and Carlos G. Correa and Thomas L. Griffiths and Mark K. Ho},
journal= {arXiv preprint arXiv:2310.02221},
year = {2023}
}