# Structurally guided task decomposition in spatial navigation tasks

arXiv: https://arxiv.org/abs/2310.02221 · HTML: https://mlsanity.com/paper/2310.02221/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 5 references that are in the map.
- First posted on arXiv 3 Oct 2023.

## Builds on (most cited first, 2 of 2)

- [Humans decompose tasks by trading off utility and computational cost](https://mlsanity.com/paper/2211.03890/) (2022)
- [Visual scoping operations for physical assembly](https://mlsanity.com/paper/2106.05654/) (2021)

## Abstract (arXiv)

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.