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像孩子一样寻找奖励意味着更少的泛化和更多的有针对性探索。

Searching for Rewards Like a Child Means Less Generalization and More Directed Exploration.

机构信息

Department of Psychology, Harvard University.

Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.

出版信息

Psychol Sci. 2019 Nov;30(11):1561-1572. doi: 10.1177/0956797619863663. Epub 2019 Oct 25.


DOI:10.1177/0956797619863663
PMID:31652093
Abstract

How do children and adults differ in their search for rewards? We considered three different hypotheses that attribute developmental differences to (a) children's increased random sampling, (b) more directed exploration toward uncertain options, or (c) narrower generalization. Using a search task in which noisy rewards were spatially correlated on a grid, we compared the ability of 55 younger children (ages 7 and 8 years), 55 older children (ages 9-11 years), and 50 adults (ages 19-55 years) to successfully generalize about unobserved outcomes and balance the exploration-exploitation dilemma. Our results show that children explore more eagerly than adults but obtain lower rewards. We built a predictive model of search to disentangle the unique contributions of the three hypotheses of developmental differences and found robust and recoverable parameter estimates indicating that children generalize less and rely on directed exploration more than adults. We did not, however, find reliable differences in terms of random sampling.

摘要

儿童和成人在寻找奖励时有何不同?我们考虑了三个不同的假设,这些假设将发展差异归因于(a)儿童增加的随机抽样,(b)对不确定选项更有针对性的探索,或(c)更窄的泛化。我们使用了一种搜索任务,其中在网格上空间相关的嘈杂奖励,我们比较了 55 名年龄较小的儿童(7 岁和 8 岁),55 名年龄较大的儿童(9-11 岁)和 50 名成年人(19-55 岁)成功地对未观察到的结果进行概括,并平衡探索与开发的困境。我们的结果表明,儿童比成人更渴望探索,但获得的奖励却更低。我们建立了一个搜索的预测模型,以分解发展差异的三个假设的独特贡献,并且发现了稳健且可恢复的参数估计,表明儿童的泛化能力较差,比成人更依赖于有针对性的探索。但是,我们没有发现随机抽样方面存在可靠差异。

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