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  Compositionality under time pressure

Rubino, V., Hamidi, M., Dayan, P., & Wu, C. (2023). Compositionality under time pressure. Proceedings of the Annual Meeting of the Cognitive Science Society, 45, 678-685.

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 Creators:
Rubino, V, Author
Hamidi, M, Author
Dayan, P1, Author                 
Wu, CM2, Author                 
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3505519              

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 Abstract: Compositionality is a central component of the human faculty for generalization and flexibility. However, the computations involved are poorly understood, especially in terms of their cognitive costs. On one hand, compositionality requires searching combinatorially large hypothesis spaces, raising issues of tractability. On the other hand, compositional representations afford efficient and compact compression. To shed light on the cognitive resource required for compositionality, we used a within-subject time pressure manipulation to study how participants navigated a series of mazes, generated using recursive operations over spatial primitives. We find evidence that behavior is guided by the use of primitives and abstract operations over them, where the degree of compositional structure increases performance and speeds up decisions. And while time pressure led to more random errors, it did not impair the capacity for compositionality. Rather, participants increased their reliance on reusing and recombining previous computations, suggesting a remarkable robustness of human compositional reasoning.

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 Dates: 2023-07
 Publication Status: Issued
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Title: 45th Annual Meeting of the Cognitive Science Society (CogSci 2023)
Place of Event: Sydney, Australia
Start-/End Date: 2023-07-26 - 2023-07-29

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Title: Proceedings of the Annual Meeting of the Cognitive Science Society
Source Genre: Journal
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Pages: - Volume / Issue: 45 Sequence Number: - Start / End Page: 678 - 685 Identifier: ISSN: 1069-7977