Structurally Guided Task Decomposition in Spatial Navigation Tasks

Ruiqi He; Carlos G. Correa; Thomas L. Griffiths; Mark K. Ho

doi:10.1609/aaai.v38i21.30451

Structurally Guided Task Decomposition in Spatial Navigation Tasks

Ruiqi He
, Carlos G. Correa
, Thomas L. Griffiths
, Mark K. Ho

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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 simple planning problems by adding structure information to facilitate planning in more complex tasks. The extended model was 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.

Original language	English (US)
Pages (from-to)	23512-23513
Number of pages	2
Journal	Proceedings of the AAAI Conference on Artificial Intelligence
Volume	38
Issue number	21
DOIs	https://doi.org/10.1609/aaai.v38i21.30451
State	Published - Mar 25 2024
Event	38th AAAI Conference on Artificial Intelligence, AAAI 2024 - Vancouver, Canada Duration: Feb 20 2024 → Feb 27 2024

All Science Journal Classification (ASJC) codes

Artificial Intelligence

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10.1609/aaai.v38i21.30451

Cite this

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title = "Structurally Guided Task Decomposition in Spatial Navigation Tasks",

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 simple planning problems by adding structure information to facilitate planning in more complex tasks. The extended model was 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.",

author = "Ruiqi He and Correa, \{Carlos G.\} and Griffiths, \{Thomas L.\} and Ho, \{Mark K.\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2024, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 38th AAAI Conference on Artificial Intelligence, AAAI 2024 ; Conference date: 20-02-2024 Through 27-02-2024",

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T1 - Structurally Guided Task Decomposition in Spatial Navigation Tasks

AU - He, Ruiqi

AU - Correa, Carlos G.

AU - Griffiths, Thomas L.

AU - Ho, Mark K.

PY - 2024/3/25

Y1 - 2024/3/25

N2 - 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 simple planning problems by adding structure information to facilitate planning in more complex tasks. The extended model was 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.

AB - 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 simple planning problems by adding structure information to facilitate planning in more complex tasks. The extended model was 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.

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DO - 10.1609/aaai.v38i21.30451

M3 - Conference article

AN - SCOPUS:85189629872

SN - 2159-5399

VL - 38

SP - 23512

EP - 23513

JO - Proceedings of the AAAI Conference on Artificial Intelligence

JF - Proceedings of the AAAI Conference on Artificial Intelligence

IS - 21

T2 - 38th AAAI Conference on Artificial Intelligence, AAAI 2024

Y2 - 20 February 2024 through 27 February 2024

ER -

Structurally Guided Task Decomposition in Spatial Navigation Tasks

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