Conceptual Anchoring Dissociates Implicit and Explicit Category Learning

被引:0
|
作者
Smith, J. David
Jackson, Brooke N.
Adamczyk, Markie N.
Church, Barbara A. [1 ]
机构
[1] Georgia State Univ, Language Res Ctr, 3401 Panthersville Rd, Decatur, GA 30034 USA
基金
美国国家卫生研究院;
关键词
category learning; implicit cognition; explicit cognition; associative learning; category rules; MONKEYS MACACA-MULATTA; LINEAR SEPARABILITY; RHESUS-MONKEYS; BASAL GANGLIA; CLASSIFICATION; CATEGORIZATION; ATTENTION; SYSTEMS; HOVLAND; SHEPARD;
D O I
10.1037/xlm0000856
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Categorization researchers have long debated the possibility of multiple category-learning systems. The need persists for paradigms that dissociate explicit-declarative category-learning processes (featuring verbalizable category rules) from implicit-procedural processes (featuring stimulus-response associations lying beneath declarative cognition). The authors contribute a new paradigm, using perfectly matched exclusive-or (XOR) category tasks differing only in the availability or absence of easily verbalizable conceptual content. This manipulation transformed learning. The conceptual task alone was learned suddenly, by insightful rule discovery, producing explicit-declarative XOR knowledge. The perceptual task was learned more gradually, consistent with associative-learning processes, producing impoverished declarative knowledge. We also tested participants under regimens of immediate and deferred reinforcement. The conceptual task alone was learned through processes that survive the loss of trial-by-trial reinforcement. All results support the idea that humans have perceptual-associative processes for implicit learning, but also an overlain conceptual system that under the right circumstances constitutes a parallel explicit-declarative category-learning system.
引用
收藏
页码:813 / 828
页数:16
相关论文
共 50 条
  • [31] Comparing methods of category learning: Classification versus feature inference
    Morgan, Emma L.
    Johansen, Mark K.
    MEMORY & COGNITION, 2020, 48 (05) : 710 - 730
  • [32] Frequency Effects in Human Category Learning
    Yang, Dong-Yu
    Worthy, Darrell A.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION, 2025,
  • [33] Assessing Attention in Category Learning by Animals
    Wasserman, Edward A.
    Castro, Leyre
    CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2021, 30 (06) : 495 - 502
  • [34] A difficulty predictor for perceptual category learning
    Rosedahl, Luke A.
    Ashby, F. Gregory
    JOURNAL OF VISION, 2019, 19 (06): : 1 - 15
  • [35] The emergence of explicit knowledge from implicit learning
    Goujon, Annabelle
    Didierjean, Andre
    Poulet, Sarah
    MEMORY & COGNITION, 2014, 42 (02) : 225 - 236
  • [36] AGE AND TIME EFFECTS ON IMPLICIT AND EXPLICIT LEARNING
    Verneau, Marion
    van der Kamp, John
    Savelsbergh, Geert J. P.
    de Looze, Michiel P.
    EXPERIMENTAL AGING RESEARCH, 2014, 40 (04) : 477 - 511
  • [37] The time course of implicit and explicit concept learning
    Ziori, Eleni
    Dienes, Zoltan
    CONSCIOUSNESS AND COGNITION, 2012, 21 (01) : 204 - 216
  • [38] Implicit category learning performance predicts rate of cognitive decline in nondemented patients with Parkinson's disease
    Filoteo, J. Vincent
    Maddox, W. Todd
    Salmon, David P.
    Song, David D.
    NEUROPSYCHOLOGY, 2007, 21 (02) : 183 - 192
  • [39] Implicit and explicit categorization: A tale of four species
    Smith, J. David
    Berg, Mark E.
    Cook, Robert G.
    Murphy, Matthew S.
    Crossley, Matthew. J.
    Boomer, Joseph
    Spiering, Brian
    Beran, Michael J.
    Church, Barbara A.
    Ashby, F. Gregory
    Grace, Randolph C.
    NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2012, 36 (10) : 2355 - 2369
  • [40] The impact of category structure and training methodology on learning and generalizing within-category representations
    Ell, Shawn W.
    Smith, David B.
    Peralta, Gabriela
    Helie, Sebastien
    ATTENTION PERCEPTION & PSYCHOPHYSICS, 2017, 79 (06) : 1777 - 1794