Distinct Developmental Trajectories In The Cognitive Components Of Complex Planning

Ili Ma, Camille Phaneuf, Bas van Opheusden, Wei Ji Ma, Catherine Hartley

Research output: Contribution to conferencePaperpeer-review

Abstract

This study aimed to characterize the developmental trajectories of different cognitive component processes underlying planning decisions. Participants (ages 8-25 years) completed a planning task called Four-in-a-row. We used computational modeling to distinguish between three cognitive component processes of planning: planning depth, heuristic quality, and attentional oversights, each of which three contributed to better playing strength, but differed in their developmental trajectories. Specifically, from early to mid-adolescence, heuristic quality rapidly improved and contributed to better playing strength. From mid to late-adolescence, planning depth increased and supported better playing strength. Fewer attentional oversights were associated with better playing strength and this relation did not show age differences. Together, these results reveal sequential development of the cognitive component processes underlying planning, with early refinement of heuristic strategies, and gradual increases into young adulthood in the number of considered future actions, states, and outcomes. These findings provide a more complete account of the development of planning and its component processes.

Original languageEnglish (US)
Pages1131-1137
Number of pages7
StatePublished - 2022
Event44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022 - Toronto, Canada
Duration: Jul 27 2022Jul 30 2022

Conference

Conference44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022
Country/TerritoryCanada
CityToronto
Period7/27/227/30/22

Keywords

  • Decision-making
  • Development
  • Planning
  • Reinforcement learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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