There is considerable debate over the extent to which cognitive tasks can be learned non-consciously or implicitly. In recent years a large number of studies have demonstrated a discrepancy between explicit knowledge and measured performance. This book presents an overview of these studies and attempts to clarify apparently disparate results by placing them in a coherent theoretical framework. It draws on evidence from neuropsychological and computational modelling studies as well as the many laboratory experiments. Chapter one sets out the background to the large number of recent studies on implicit learning. It discusses research on implicit memory, perception without awareness, and automaticity. It attempts to set the implicit - explicit distinction in the context of other relevant dichotomies in the literature. Chapter two presents an overview of research on the control of complex systems, from Broadbent (1977) through to the present day. It looks at the accessibility of control task knowledge, as well as whether there is any other evidence for a distinction between implicit and explicit modes of learning. Chapter three critically reviews studies claiming to show that people can acquire concepts without being verbally aware of the basis on which they are responding. It shows that concept formation can be implicit in some sense but not in others. Chapter four investigates the claim that people can learn sequential information in an implicit way. Chapter five looks at whether computational modelling can elucidate the nature of implicit learning. It examines the feasibility of different exemplar connectionist models in accounting for performance in concept learning, sequence learning, and control task experiments. Chapter six reviews evidence concerning dissociations between implicit and explicit knowledge in various neuropsychological syndromes. Finally, chapters seven and eight discuss the many practical and theoretical implications of the research.

Can we learn without knowing we are learning? To what extent is our behavior influenced by things we fail to perceive? What is the relationship between conscious and unconscious cognition? Implicit Learning: 50 Years On tackles these key questions, fifty years after the publication of Arthur Reber’s seminal text. Providing an overview of recent developments in the field, the volume considers questions about the computational foundations of learning, alongside phenomena including conditioning, memory formation and consolidation, associative learning, cognitive development, and language learning. Featuring contributions from international researchers, the book uniquely integrates ‘Western’ thinking on implicit learning with insights from a rich Russian research tradition. This approach offers an excellent opportunity to contrast perspectives, to introduce new experimental paradigms, and to contribute to ongoing debates about the very nature of implicit learning. Implicit Learning: 50 Years On is essential reading for students and researchers of consciousness, specifically those interested in implicit learning.

Attention and Implicit Learning provides a comprehensive overview of the research conducted in this area. The book is conceived as a multidisciplinary forum of discussion on the question of whether implicit learning may be depicted as a process that runs independently of attention. The volume also deals with the complementary question of whether implicit learning affects the dynamics of attention, and it addresses these questions from perspectives that range from functional to neuroscientific and computational approaches. The view of implicit learning that arises from these pages is not that of a mysterious faculty, but rather that of an elementary ability of the cognitive systems to extract the structure of their environment as it appears directly through experience, and regardless of any intention to do so. Implicit learning, thus, is taken to be a process that may shape not only our behavior, but also our representations of the world, our attentional functions, and even our conscious experience. (Series B)

This book explores unintentional learning from an information-processing perspective.

Can you learn without knowing it? This controversial and much debated question forms the basis of this collection of essays as the authors discuss whether the measurable changes in behaviour that result from learning can ever remain entirely unconscious. Three issues central to the topic of implicit learning are raised. Firstly, the extent to which learning can be unconscious, and therefore implicit, is considered. Secondly, theories are developed regarding the nature of knowledge acquired in implicit learning situations. Finally, the idea that there are two separable independent processing systems in the brain, for implicit and explicit learning, is considered. Implicit Learning and Consciousness challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning. The chapters include a variety of research from computer modelling, experimental psychology and neural imaging to the clinical data resulting from work with amnesics. The result is a topical book that provides an overview of the debate on implicit learning, and the various philosophical, psychological and neurological frameworks in which it can be placed. It will be of interest to undergraduates, postgraduates and the philosophical, psychological and modeling research community.

This Element explores the roles of explicit and implicit learning in second language acquisition. The authors lay out some key issues that they take to underlie the debate on the extent to which second language acquisition involves explicit learning, implicit learning, or both. They also discuss what they take to be an oversight in the field: namely, the lack of clear definitions of key constructs. Taking a generative perspective on the nature of language, while addressing alternative approaches at key points, they refocus the discussion of explicit and implicit learning by first asking what must be learned (i.e., what is this mental representation we call “language” that all functioning humans possess?) The discussion and research reviewed leads to the conclusion that second language acquisition is largely if not exclusively implicit in nature and that explicit learning plays a secondary role in how learners grapple with meaning.

While widely studied, the capacity of the human mind remains largely unexplored. As such, researchers are continually seeking ways to understand the brain, its function, and its impact on human behavior. Exploring Implicit Cognition: Learning, Memory, and Social Cognitive Processes explores research surrounding the ways in which an individual’s unconscious is able to influence and impact that person’s behavior without their awareness. Focusing on topics pertaining to social cognition and the unconscious process, this title is ideal for use by students, researchers, psychologists, and academicians interested in the latest insights into implicit cognition.

This thoroughly updated edition provides a balanced review of the core methods and the latest research on animal learning and human memory. The relevance of basic principles is highlighted throughout via everyday examples to ignite student interest, along with more traditional examples from human and animal laboratory studies. Individual differences in age, gender, learning style, cultural background, or special abilities (such as the math gifted) are highlighted within each chapter to help students see how the principles may be generalized to other subject populations. The basic processes of learning – such as classical and instrumental conditioning and encoding and storage in long-term memory in addition to implicit memory, spatial learning, and remembering in the world outside the laboratory – are reviewed. The general rules of learning are described along with the exceptions, limitations, and best applications of these rules. The relationship between the fields of neuropsychology and learning and memory is stressed throughout. The relevance of this research to other disciplines is reflected in the tone of the writing and is demonstrated through a variety of examples from education, neuropsychology, rehabilitation, psychiatry, nursing and medicine, I/O and consumer psychology, and animal behavior. Each chapter begins with an outline and concludes with a detailed summary. A website for instructors and students accompanies the book. Updated throughout with new research findings and examples the new edition features: A streamlined presentation for today’s busy students. As in the past, the author supports each concept with a research example and real-life application, but the duplicate example or application now appears on the website so instructors can use the additional material to illustrate the concepts in class. Expanded coverage of neuroscience that reflects the current research of the field including aversive conditioning (Ch. 5) and animal working memory (Ch. 8). More examples of research on student learning that use the same variables discussed in the chapter, but applies them in a classroom or student’s study environment. This includes research that applies encoding techniques to student learning, for example: studying: recommendations from experts (Ch. 1); the benefits of testing (Ch. 9); and Joshua Foer’s Moonwalking with Einstein, on his quest to become a memory expert (Ch. 6). More coverage of unconscious learning and knowledge (Ch. 11). Increased coverage of reinforcement and addiction (Ch. 4), causal and language learning (Ch. 6), working memory (WM) and the effects of training on WM, and the comparative evolution of WM in different species (Ch. 8), and genetics and learning (Ch. 12).