Dynamic development of intuitions and explicit knowledge during implicit learning

Cognition ◽  
2022 ◽  
Vol 222 ◽  
pp. 105008
Author(s):  
Adam B. Weinberger ◽  
Adam E. Green
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Dynamic Development

Patterns of Implicit Learning Below the Level of Conscious Knowledge

2010 ◽  
Vol 24 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Juliana Yordanova ◽  
Rolf Verleger ◽  
Ullrich Wagner ◽  
Vasil Kolev
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Knowledge Generation ◽  
Sleep Stages ◽  
Implicit Processing ◽  
Implicit Processes ◽  
Late Night ◽  
On Line ◽  
On Line Learning

The objective of the present study was to evaluate patterns of implicit processing in a task where the acquisition of explicit and implicit knowledge occurs simultaneously. The number reduction task (NRT) was used as having two levels of organization, overt and covert, where the covert level of processing is associated with implicit associative and implicit procedural learning. One aim was to compare these two types of implicit processes in the NRT when sleep was or was not introduced between initial formation of task representations and subsequent NRT processing. To assess the effects of different sleep stages, two sleep groups (early- and late-night groups) were used where initial training of the task was separated from subsequent retest by 3 h full of predominantly slow wave sleep (SWS) or rapid eye movement (REM) sleep. In two no-sleep groups, no interval was introduced between initial and subsequent NRT performance. A second aim was to evaluate the interaction between procedural and associative implicit learning in the NRT. Implicit associative learning was measured by the difference between the speed of responses that could or could not be predicted by the covert abstract regularity of the task. Implicit procedural on-line learning was measured by the practice-based increased speed of performance with time on task. Major results indicated that late-night sleep produced a substantial facilitation of implicit associations without modifying individual ability for explicit knowledge generation or for procedural on-line learning. This was evidenced by the higher rate of subjects who gained implicit knowledge of abstract task structure in the late-night group relative to the early-night and no-sleep groups. Independently of sleep, gain of implicit associative knowledge was accompanied by a relative slowing of responses to unpredictable items suggesting reciprocal interactions between associative and motor procedural processes within the implicit system. These observations provide evidence for the separability and interactions of different patterns of processing within implicit memory.

Implicit versus explicit: An act-r learning perspective

1999 ◽  
Vol 22 (5) ◽  
pp. 785-786 ◽  
Author(s):  
Niels A. Taatgen
Keyword(s):  
Implicit Learning ◽  
Explicit Memory ◽  
Explicit Knowledge ◽  
Cognitive Architecture ◽  
Explicit Learning ◽  
Implicit And Explicit Memory ◽  
The Difference ◽  
Implicit And Explicit ◽  
Implicit And Explicit Learning

Dienes & Perner propose a theory of implicit and explicit knowledge that is not entirely complete. It does not address many of the empirical issues, nor does it explain the difference between implicit and explicit learning. It does, however, provide a possible unified explanation, as opposed to the more binary theories like the systems and the processing theories of implicit and explicit memory. Furthermore, it is consistent with a theory in which implicit learning is viewed as based on the mechanisms of the cognitive architecture, and explicit learning as strategies that exploit these mechanisms.

The emergence of explicit knowledge from implicit learning

2013 ◽  
Vol 42 (2) ◽  
pp. 225-236 ◽  
Author(s):  
Annabelle Goujon ◽  
André Didierjean ◽  
Sarah Poulet
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge

An algebraic perspective on implicit and explicit knowledge

2016 ◽  
Vol 3 (1) ◽  
pp. 151-162 ◽  
Author(s):  
Omid Khatin Zadeh ◽  
Sedigheh Vahdat ◽  
Babak Yazdani Fazlabadi
Keyword(s):  
Implicit Learning ◽  
Infinite Number ◽  
Explicit Knowledge ◽  
Algebraic Groups ◽  
The Other ◽  
Explicit Learning ◽  
Abstract Group ◽  
Abstract Structure ◽  
The Mind ◽  
Implicit And Explicit

The isomorphic relationship between an infinite number of concrete algebraic groups and the existence of a single abstract group that underlies all these concrete groups is one of the most fundamental subjects in Abstract Algebra. Looking at the process of explicit learning from a mathematical perspective, this article suggests that explicit knowledge of a certain concrete structure can be viewed as consciousness of an abstract algebraic structure that underlies that structure. On the other hand, implicit knowledge can be regarded as knowing something without being conscious of the abstract structure that underlies that knowledge. Explicit knowledge enables the learner to know what features are shared by these concrete groups or structures. These shared features are the defining elements of underlying abstract structure. The abstract structure is constructed in the mind by the suppression of irrelevant data. Therefore, it is suggested that while implicit learning is a receiving-oriented mode of learning, explicit learning is a suppression-oriented one. The sub-process of suppression enables the cognitive system to focus on abstract structure and its defining features, making the process of explicit learning deeper.

Influence of Stimulus Distance in Implicit Learning of Spatial and Nonspatial Event Sequences

2002 ◽  
Vol 95 (3) ◽  
pp. 973-987 ◽  
Author(s):  
Jascha Russeler ◽  
Thomas F. Münte ◽  
Frank Rösler
Keyword(s):  
Implicit Learning ◽  
Sequence Learning ◽  
Explicit Knowledge ◽  
Serial Learning ◽  
Reaction Time Task ◽  
Learning Mechanisms ◽  
Response Latencies ◽  
Event Sequences ◽  
Serial Reaction ◽  
Stimulus Distance

The serial reaction time task has been widely used to investigate implicit learning mechanisms. In the present study, we investigated the effect of stimulus distance on learning of a spatial sequence independent of a sequence of responses. Participants had to respond to objects appearing at four different locations. The objects were presented in a sequence of nine elements, whereas the location at which an object was presented followed a sequence of eight elements. Thus, the spatial and the object sequences were independent of each other. Four groups of subjects for whom the distances of the locations chosen to present objects on the computer screen (3 cm, 6 cm, 12 cm, or 22 cm) differed were tested. Only the nonspatial sequence was learned as indicated by enhanced response latencies in nonsequenced random blocks. Stimulus distance had no effect on the amount of sequence learning. Additional analyses for subgroups of subjects who did not show explicit knowledge of the sequences after completion of the task indicated that for implicit learners also, sequence learning was not influenced by stimulus distance. The results are discussed with respect to current theories of implicit serial learning.

scholarly journals SIMPLE REGULARITIES ACQUISITION IN THE STUDIES OF IMPLICIT LEARNING

2020 ◽  
pp. 124-142
Author(s):  
Tatiana M. Deeva
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Learning Mechanisms ◽  
The Unconscious ◽  
Association Learning ◽  
Rigorous Approach ◽  
Simple Rules ◽  
Different Types ◽  
Cognitive Problems ◽  
Activity Information

Background. According to modern empirical data, unconsciously processed information can have a significant impact on human behavior in all spheres of activity. Information about the unconscious information processing is fragmented and often contradictory. For the study of implicit learning different approaches are traditionally used, but none of them are effective for the clear results about the consciousness and abstractness degree of the knowledge obtained. We could more carefully inquire into the matter of unconscious knowledge and its influence on the cognitive problems solving with information about implicit learning of simple rules. This methodology makes it possible to apply more strong criteria for explicit knowledge and assumes purer experimental effects of implicit learning. Objective. To consider and analyze the experience of use experimental techniques with simple regularities acquisition in the studies of implicit learning. Methods. Review and analysis of studies using simple regularities in the field of implicit learning. Results. In the article researches within the experimental paradigms “invariant learning” and “hidden covariation detection” are considered. The most significant experiments, their results and the criticism has led to an improvement of experimental procedures are presented. The problems of using different types of tasks in the training and test stages are described. The main possibilities and limitations of using these paradigms for revealing the effect of implicit learning are outlined. Further perspectives for the application of these techniques are considered. But one needs for a more rigorous approach to measuring the level of awareness. Conclusion. Experimental paradigms with simple regularities acquisition may be promising for the study of implicit association learning mechanisms.

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