The transfer of implicit knowledge across domains

Dienes, Zoltán; Altmann, Gerry T. M.; Gao, Shi-Ji; Goode, Alastair

doi:10.1080/01690969508407101

Cited by 8 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In these transfer situations, participants continue to perform at above‐chance levels. However, level of performance with unfamiliar strings is lower than with familiar strings (the so‐called transfer‐decrement phenomenon; e.g., Altmann, Dienes, & Goode, 1995; Dienes & Altmann, 1997; Gomez, 1997; Redington & Chater, 2002; Shanks, Johnstone, & Staggs, 1997; Whittlesea & Wright, 1997).…”

Section: The Abstraction Issue In the Implicit Learning Of Artificialmentioning

confidence: 99%

Children's Implicit Learning of Graphotactic and Morphological Regularities

2005

View full text Add to dashboard Cite

In French, the transcription of the same sound can be guided by both probabilistic graphotactic constraints (e.g., /et/ is more often transcribed ette after -v than after -f) and morphological constraints (e.g., /et/ is always transcribed ette when used as a diminutive suffix). Three experiments showed that pseudo-word spellings of 8-to 11-year-old children and adults were influenced by both types of constraints. The influence of graphotactic regularities persisted when reliance on morphological rules was possible, without any falling off as a function of age. This suggests that rules are not abstracted, even after massive amounts of exposure to a rule-based material. These results can be accounted for by a statistical model of implicit learning.

show abstract

Section: The Abstraction Issue In the Implicit Learning Of Artificialmentioning

confidence: 99%

Children's Implicit Learning of Graphotactic and Morphological Regularities

2005

View full text Add to dashboard Cite

show abstract

“…Indeed, many animal species can learn experimentally-generated statistical and structural patterns within one modality ( ten Cate, 2014 , ten Cate and Okanoya, 2012 ). Although non-human animals are capable of modality-specific structure learning, discrete/continuous cross-modal mappings, and even second order relational matching ( Fagot and Parron, 2010 , Smirnova et al, 2015 ) to date cross-modal structural isomorphisms have only been shown in humans and computer-simulated neural networks ( Dienes, Altmann, and Gao, 1995 , Dienes, Altmann, Gao, and Goode, 1995 , Hauser and Watumull, 2016 ).…”

Section: Introductionmentioning

confidence: 99%