Domain-Specific Versus Domain-General Maintenance in Working Memory

2017 ◽  
pp. 135-171 ◽  
Author(s):  
Valérie Camos
Keyword(s):  
Working Memory ◽  
Domain Specific ◽  
Versus Domain

scholarly journals Domain-general factors influencing numerical and arithmetic processing

2017 ◽  
Vol 3 (2) ◽  
pp. 112-132 ◽  
Author(s):  
André Knops ◽  
Hans-Christoph Nuerk ◽  
Silke M. Göbel
Keyword(s):  
Numerical Cognition ◽  
Model Building ◽  
Number System ◽  
Special Issue ◽  
Domain Specific ◽  
Versus Domain ◽  
Specific Factors ◽  
Arithmetic Performance ◽  
General Aspects ◽  
Future Theory

This special issue contains 18 articles that address the question how numerical processes interact with domain-general factors. We start the editorial with a discussion of how to define domain-general versus domain-specific factors and then discuss the contributions to this special issue grouped into two core numerical domains that are subject to domain-general influences (see Figure 1). The first group of contributions addresses the question how numbers interact with spatial factors. The second group of contributions is concerned with factors that determine and predict arithmetic understanding, performance and development. This special issue shows that domain-general (Table 1a) as well as domain-specific (Table 1b) abilities influence numerical and arithmetic performance virtually at all levels and make it clear that for the field of numerical cognition a sole focus on one or several domain-specific factors like the approximate number system or spatial-numerical associations is not sufficient. Vice versa, in most studies that included domain-general and domain-specific variables, domain-specific numerical variables predicted arithmetic performance above and beyond domain-general variables. Therefore, a sole focus on domain-general aspects such as, for example, working memory, to explain, predict and foster arithmetic learning is also not sufficient. Based on the articles in this special issue we conclude that both domain-general and domain-specific factors contribute to numerical cognition. But the how, why and when of their contribution still needs to be better understood. We hope that this special issue may be helpful to readers in constraining future theory and model building about the interplay of domain-specific and domain-general factors.

scholarly journals Models of Metacognition

2019 ◽  
Vol 7 (2) ◽  
pp. 1-4
Author(s):  
C Thenmozhi
Keyword(s):  
Active Role ◽  
Adaptive Behaviour ◽  
Metacognitive Skills ◽  
Social And Emotional ◽  
Domain Specific ◽  
Versus Domain ◽  
Emotional Aspects ◽  
Regulation Of Cognition ◽  
Knowledge Memory ◽  
And Control

Thinking is a common process. Cognitive ability includes knowledge, memory and metacognition.  Knowledge requires memory. These two are inextricably linked. Parents and teachers need to encourage children to take an active role in their learning and show them how to use what they know to the best advantage. Cognition is primarily a mental process. A successful theory of cognition would answer both the epistemological and biological questions. The purpose is to put forward a theory of cognition, that should provide an epistemological insight into the phenomenon of cognition. The concept of metacognition involves knowledge and control of self and control of the process. A metacognitive process consists of planning, strategies, knowledge, monitoring, evaluating and terminating. The Automation of Cognitive and Metacognitive Processes, Social and Emotional aspects of Metacognition, Domain General Versus domain specific Metacognitive Skills. Mata cognition, Intelligence and adaptive behaviour, Ann Brown distinguished between knowledge about cognition and regulation of cognition, Private Speech and Development of Metacognition is the models of metacognition.

scholarly journals Decision Making Processes and Outcomes

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Julie Hicks Patrick ◽  
Jenessa C. Steele ◽  
S. Melinda Spencer
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Information Search ◽  
Linear Regression Analysis ◽  
Individual Characteristics ◽  
Decision Quality ◽  
Quality Data ◽  
Solution Quality ◽  
Strategic Processing ◽  
Domain Specific

The primary aim of this study was to examine the contributions of individual characteristics and strategic processing to the prediction of decision quality. Data were provided by 176 adults, ages 18 to 93 years, who completed computerized decision-making vignettes and a battery of demographic and cognitive measures. We examined the relations among age, domain-specific experience, working memory, and three measures of strategic information search to the prediction of solution quality using a 4-step hierarchical linear regression analysis. Working memory and two measures of strategic processing uniquely contributed to the variance explained. Results are discussed in terms of potential advances to both theory and intervention efforts.

Multicomponent Working Memory System with Distributed Executive Control

2020 ◽  
pp. 150-174 ◽  
Author(s):  
André Vandierendonck
Keyword(s):  
Working Memory ◽  
Executive Control ◽  
Memory System ◽  
General Information ◽  
Long Term Memory ◽  
Term Memory ◽  
Episodic Buffer ◽  
Domain Specific ◽  
Current Task

The working memory model with distributed executive control accounts for the interactions between working memory and multi-tasking performance. The working memory system supports planned actions by relying on two capacity-limited domain-general and two time-limited domain-specific modules. Domain-general modules are the episodic buffer and the executive module. The episodic buffer stores multimodal representations and uses attentional refreshment to counteract information loss and to consolidate information in episodic long-term memory. The executive module maintains domain-general information relevant for the current task. The phonological buffer and the visuospatial module are domain specific; the former uses inner speech to maintain and to rehearse phonological information, whereas the latter holds visual and spatial representations active by means of image revival. For its operation, working memory interacts with declarative and procedural long-term memory, gets input from sensory registers, and uses the motor system for output.

Human Cognitive Processes

2009 ◽  
pp. 1-33
Author(s):  
Slava Kalyuga
Keyword(s):  
Working Memory ◽  
Cognitive Architecture ◽  
Human Cognition ◽  
Long Term Memory ◽  
Domain Specific ◽  
Knowledge Based ◽  
Domain Specific Knowledge ◽  
And Performance ◽  
Memory Knowledge ◽  
High Level

One of the major components of our cognitive architecture, working memory, becomes overloaded if more than a few chunks of information are processed simultaneously. For example, we all experience this cognitive overload when trying to keep in memory an unfamiliar telephone number or add two four-digit numbers in the absence of a pen and paper. Similar in nature processing limitations of working memory represent a major factor influencing the effectiveness of human learning and performance, particularly in complex environments that require concurrent performance of multiple tasks. The learner prior domain-specific knowledge structures and associated levels of expertise are considered as means of reducing these limitations and guiding high-level knowledge-based cognitive activities. One of the most important results of studies in human cognition is that the available knowledge is a single most significant learner cognitive characteristic that influences learning and cognitive performance. Understanding the key role of long-term memory knowledge base in our cognition is important to the successful management of cognitive load in multimedia learning.

scholarly journals Efficacy of non-invasive brain stimulation on cognitive functioning in brain disorders: a meta-analysis

2020 ◽  
Vol 50 (15) ◽  
pp. 2465-2486
Author(s):  
Marieke J. Begemann ◽  
Bodyl A. Brand ◽  
Branislava Ćurčić-Blake ◽  
André Aleman ◽  
Iris E. Sommer
Keyword(s):  
Working Memory ◽  
Brain Stimulation ◽  
Meta Analysis ◽  
Verbal Learning ◽  
The Other ◽  
Brain Disorders ◽  
Brain Disorder ◽  
Cognitive Domains ◽  
Domain Specific ◽  
Non Invasive

AbstractBackgroundCognition is commonly affected in brain disorders. Non-invasive brain stimulation (NIBS) may have procognitive effects, with high tolerability. This meta-analysis evaluates the efficacy of transcranial magnetic stimulation (TMS) and transcranial Direct Current Stimulation (tDCS) in improving cognition, in schizophrenia, depression, dementia, Parkinson's disease, stroke, traumatic brain injury, and multiple sclerosis.MethodsA PRISMA systematic search was conducted for randomized controlled trials. Hedges' g was used to quantify effect sizes (ES) for changes in cognition after TMS/tDCS v. sham. As different cognitive functions may have unequal susceptibility to TMS/tDCS, we separately evaluated the effects on: attention/vigilance, working memory, executive functioning, processing speed, verbal fluency, verbal learning, and social cognition.ResultsWe included 82 studies (n = 2784). For working memory, both TMS (ES = 0.17, p = 0.015) and tDCS (ES = 0.17, p = 0.021) showed small but significant effects. Age positively moderated the effect of TMS. TDCS was superior to sham for attention/vigilance (ES = 0.20, p = 0.020). These significant effects did not differ across the type of brain disorder. Results were not significant for the other five cognitive domains.ConclusionsOur results revealed that both TMS and tDCS elicit a small trans-diagnostic effect on working memory, tDCS also improved attention/vigilance across diagnoses. Effects on the other domains were not significant. Observed ES were small, yet even slight cognitive improvements may facilitate daily functioning. While NIBS can be a well-tolerated treatment, its effects appear domain specific and should be applied only for realistic indications (i.e. to induce a small improvement in working memory or attention).

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