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Computer Science > Machine Learning

arXiv:2310.02221 (cs)
[Submitted on 3 Oct 2023]

Title:Structurally guided task decomposition in spatial navigation tasks

Authors:Ruiqi He, Carlos G. Correa, Thomas L. Griffiths, Mark K. Ho
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Abstract: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.
Subjects: Machine Learning (cs.LG)
Cite as: arXiv:2310.02221 [cs.LG]
  (or arXiv:2310.02221v1 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2310.02221

Submission history

From: Ruiqi He [view email]
[v1] Tue, 3 Oct 2023 17:27:30 UTC (71 KB)
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