Experiential reward learning outweighs instruction prior to adulthood

被引:71
作者
Decker, Johannes H. [1 ]
Lourenco, Frederico S. [1 ]
Doll, Bradley B. [2 ]
Hartley, Catherine A. [1 ]
机构
[1] Weill Cornell Med Coll, Sackler Inst Dev Psychobiol, New York, NY 10065 USA
[2] NYU, Ctr Neural Sci, New York, NY 10003 USA
关键词
Development; Reinforcement learning; Decision-making; Cognitive control; PREDICTION ERRORS; RISK-TAKING; COGNITIVE CONTROL; DECISION-MAKING; DOPAMINE; BEHAVIOR; SUSCEPTIBILITY; INFORMATION; RECRUITMENT; RESISTANCE;
D O I
10.3758/s13415-014-0332-5
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Throughout our lives, we face the important task of distinguishing rewarding actions from those that are best avoided. Importantly, there are multiple means by which we acquire this information. Through trial and error, we use experiential feedback to evaluate our actions. We also learn which actions are advantageous through explicit instruction from others. Here, we examined whether the influence of these two forms of learning on choice changes across development by placing instruction and experience in competition in a probabilistic-learning task. Whereas inaccurate instruction markedly biased adults' estimations of a stimulus's value, children and adolescents were better able to objectively estimate stimulus values through experience. Instructional control of learning is thought to recruit prefrontal-striatal brain circuitry, which continues to mature into adulthood. Our behavioral data suggest that this protracted neurocognitive maturation may cause the motivated actions of children and adolescents to be less influenced by explicit instruction than are those of adults. This absence of a confirmation bias in children and adolescents represents a paradoxical developmental advantage of youth over adults in the unbiased evaluation of actions through positive and negative experience.
引用
收藏
页码:310 / 320
页数:11
相关论文
共 61 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]   The development of implicit learning from infancy to adulthood: Item frequencies, relations, and cognitive flexibility [J].
Amso, Dima ;
Davidow, Juliet .
DEVELOPMENTAL PSYCHOBIOLOGY, 2012, 54 (06) :664-673
[3]   Random effects structure for confirmatory hypothesis testing: Keep it maximal [J].
Barr, Dale J. ;
Levy, Roger ;
Scheepers, Christoph ;
Tily, Harry J. .
JOURNAL OF MEMORY AND LANGUAGE, 2013, 68 (03) :255-278
[4]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[5]   Midbrain dopamine neurons encode a quantitative reward prediction error signal [J].
Bayer, HM ;
Glimcher, PW .
NEURON, 2005, 47 (01) :129-141
[6]   The Neural Basis of Following Advice [J].
Biele, Guido ;
Rieskamp, Joerg ;
Krugel, Lea K. ;
Heekeren, Hauke R. .
PLOS BIOLOGY, 2011, 9 (06)
[7]   Computational Models for the Combination of Advice and Individual Learning [J].
Biele, Guido ;
Rieskamp, Joerg ;
Gonzalez, Richard .
COGNITIVE SCIENCE, 2009, 33 (02) :206-242
[8]   Neural substrates of response-based sequence learning using fMRI [J].
Bischoff-Grethe, A ;
Goedert, KM ;
Willingham, DT ;
Grafton, ST .
JOURNAL OF COGNITIVE NEUROSCIENCE, 2004, 16 (01) :127-138
[9]   A brain-based account of the development of rule use in childhood [J].
Bunge, Silvia A. ;
Zelazo, Philip David .
CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2006, 15 (03) :118-121
[10]   Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry [J].
Chein, Jason ;
Albert, Dustin ;
O'Brien, Lia ;
Uckert, Kaitlyn ;
Steinberg, Laurence .
DEVELOPMENTAL SCIENCE, 2011, 14 (02) :F1-F10