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Editors’ Introduction: Aligning Implicit Learning and Statistical Learning: Two Approaches, One Phenomenon
Author(s) -
Rebuschat Patrick,
Monaghan Padraic
Publication year - 2019
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12438
Subject(s) - phenomenon , computer science , perspective (graphical) , data science , management science , cognitive science , epistemology , artificial intelligence , engineering ethics , psychology , engineering , philosophy
This editors’ introduction provides the background to the special issue. We first outline the rationale for bringing together, in a single volume, leading researchers from two distinct, yet related research strands, implicit learning and statistical learning. The aim of the special issue is to facilitate the development of a shared understanding of research questions and methodologies, to provide a platform for discussing similarities and differences between the two strands, and to encourage the formulation of joint research agendas. We then introduce the new contributions solicited for this special issue and provide our perspective on the agenda setting that results from combining these two approaches.

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