Children are more exploratory and learn more than adults in an approach-avoid task

被引:55
作者
Liquin, Emily G. [1 ]
Gopnik, Alison [1 ]
机构
[1] Univ Calif Berkeley, Dept Psychol, 2121 Berkeley Way, Berkeley, CA 94720 USA
关键词
Exploration; Explore-exploit trade-offs; Development; Reinforcement learning; SELECTIVE ATTENTION; EXPLOITATION; INFANTS; EXPLANATION; UNCERTAINTY; ALGORITHMS; INFERENCE; BEHAVIOR; SEARCH; LEAST;
D O I
10.1016/j.cognition.2021.104940
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Intuitively, children appear to be more exploratory than adults, and this exploration seems to help children learn,. However, there have been few clear tests of these ideas. We test whether exploration and learning change across development using a task that presents a "learning trap." In this task, exploitation-maximizing immediate reward and avoiding costs-may lead the learner to draw incorrect conclusions, while exploration may lead to better learning but be more costly. In Studies 1, 2, and 3 we find that preschoolers and early school-aged children explore more than adults and learn the true structure of the environment better. Study 3 demonstrates that children explore more than adults even though they, like adults, predict that exploration will be costly, and it shows that exploration and learning are correlated. Study 4 shows that children's and adults' learning depends on the evidence they generate during exploration: children exposed to adult-like evidence learn like adults, and adults exposed to child-like evidence learn like children. Together, these studies support the idea that children may be more exploratory than adults, and this increased exploration influences learning.
引用
收藏
页数:17
相关论文
共 68 条
  • [1] The Developmental Origins of Risk and Time Preferences Across Diverse Societies
    Amir, Dorsa
    Jordan, Matthew R.
    McAuliffe, Katherine
    Valeggia, Claudia R.
    Sugiyama, Lawrence S.
    Bribiescas, Richard G.
    Snodgrass, J. Josh
    Dunham, Yarrow
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2020, 149 (04) : 650 - 661
  • [2] Auer P., 2003, Journal of Machine Learning Research, V3, P397, DOI 10.1162/153244303321897663
  • [3] Systematic exploration and uncertainty dominate young children's choices
    Blanco, Nathaniel J.
    Sloutsky, Vladimir M.
    [J]. DEVELOPMENTAL SCIENCE, 2021, 24 (02)
  • [4] Attentional mechanisms drive systematic exploration in young children
    Blanco, Nathaniel J.
    Sloutsky, Vladimir M.
    [J]. COGNITION, 2020, 202
  • [5] Children balance theories and evidence in exploration, explanation, and learning
    Bonawitz, Elizabeth Baraff
    van Schijndel, Tessa J. P.
    Friel, Daniel
    Schulz, Laura
    [J]. COGNITIVE PSYCHOLOGY, 2012, 64 (04) : 215 - 234
  • [6] Conservative Forgetful Scholars: How People Learn Causal Structure Through Sequences of Interventions
    Bramley, Neil R.
    Lagnado, David A.
    Speekenbrink, Maarten
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION, 2015, 41 (03) : 708 - 731
  • [7] RECENT DEVELOPMENTS IN MODELING PREFERENCES - UNCERTAINTY AND AMBIGUITY
    CAMERER, C
    WEBER, M
    [J]. JOURNAL OF RISK AND UNCERTAINTY, 1992, 5 (04) : 325 - 370
  • [8] Information Foraging Across the Life Span: Search and Switch in Unknown Patches
    Chin, Jessie
    Payne, Brennan R.
    Fu, Wai-Tat
    Morrow, Daniel G.
    Stine-Morrow, Elizabeth A. L.
    [J]. TOPICS IN COGNITIVE SCIENCE, 2015, 7 (03) : 428 - 450
  • [9] Strategies to intervene on causal systems are adaptively selected
    Coenen, Anna
    Rehder, Bob
    Gureckis, Todd M.
    [J]. COGNITIVE PSYCHOLOGY, 2015, 79 : 102 - 133
  • [10] Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration
    Cohen, Jonathan D.
    McClure, Samuel M.
    Yu, Angela J.
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2007, 362 (1481) : 933 - 942