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Humans decompose tasks by trading off utility and computational cost

Correa, Carlos G ; Ho, Mark K ; Callaway, Frederick ; Daw, Nathaniel D ; Griffiths, Thomas L Hauser, Tobias U.

PLoS computational biology, 2023-06, Vol.19 (6), p.e1011087-e1011087 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Humans decompose tasks by trading off utility and computational cost
Autor: Correa, Carlos G ; Ho, Mark K ; Callaway, Frederick ; Daw, Nathaniel D ; Griffiths, Thomas L
Hauser, Tobias U.
Assuntos: Algorithms ; Analysis ; Approximation ; Biology and Life Sciences ; Computational efficiency ; Computer and Information Sciences ; Computer applications ; Computing costs ; Cost analysis ; Costs ; Decomposition ; Economic aspects ; Efficiency ; Goals (Psychology) ; Heuristic ; Human acts ; Human behavior ; Physical Sciences ; Planning ; Post offices ; Problem solving ; Recipes ; Research and Analysis Methods ; Social Sciences
É parte de: PLoS computational biology, 2023-06, Vol.19 (6), p.e1011087-e1011087
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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The authors have declared that no competing interests exist.
Descrição: Human behavior emerges from planning over elaborate decompositions of tasks into goals, subgoals, and low-level actions. How are these decompositions created and used? Here, we propose and evaluate a normative framework for task decomposition based on the simple idea that people decompose tasks to reduce the overall cost of planning while maintaining task performance. Analyzing 11,117 distinct graph-structured planning tasks, we find that our framework justifies several existing heuristics for task decomposition and makes predictions that can be distinguished from two alternative normative accounts. We report a behavioral study of task decomposition (N = 806) that uses 30 randomly sampled graphs, a larger and more diverse set than that of any previous behavioral study on this topic. We find that human responses are more consistent with our framework for task decomposition than alternative normative accounts and are most consistent with a heuristic-betweenness centrality-that is justified by our approach. Taken together, our results suggest the computational cost of planning is a key principle guiding the intelligent structuring of goal-directed behavior.
Editor: United States: Public Library of Science
Idioma: Inglês

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Humans decompose tasks by trading off utility and computational cost

Correa, Carlos G ; Ho, Mark K ; Callaway, Frederick ; Daw, Nathaniel D ; Griffiths, Thomas L Hauser, Tobias U.

United States: Public Library of Science

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