scholarly journals Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application

2018 ◽  
Vol 6 (3) ◽  
pp. 34 ◽  
Author(s):  
Gidon Frischkorn ◽  
Anna-Lena Schubert
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Processing Speed ◽  
Cognitive Modeling ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Cognitive Models ◽  
Model Fit ◽  
General Intelligence

Mathematical models of cognition measure individual differences in cognitive processes, such as processing speed, working memory capacity, and executive functions, that may underlie general intelligence. As such, cognitive models allow identifying associations between specific cognitive processes and tracking the effect of experimental interventions aimed at the enhancement of intelligence on mediating process parameters. Moreover, cognitive models provide an explicit theoretical formalization of theories regarding specific cognitive processes that may help in overcoming ambiguities in the interpretation of fuzzy verbal theories. In this paper, we give an overview of the advantages of cognitive modeling in intelligence research and present models in the domains of processing speed, working memory, and selective attention that may be of particular interest for intelligence research. Moreover, we provide guidelines for the application of cognitive models in intelligence research, including data collection, the evaluation of model fit, and statistical analyses.

scholarly journals Cognitive Modeling in Intelligence Research: Advantages and Recommendations for their Application

2018 ◽  
Author(s):  
Gidon T. Frischkorn ◽  
Anna-Lena Schubert
Keyword(s):  
Working Memory ◽  
Cognitive Processes ◽  
Processing Speed ◽  
Cognitive Modeling ◽  
Cognitive Process ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Cognitive Models ◽  
Model Fit ◽  
General Intelligence

Mathematical models of cognition measure individual differences in cognitive processes, such as processing speed, working memory capacity, and executive functions, that may underlie general intelligence. As such, cognitive models allow identifying associations between specific cognitive processes and tracking the effect of experimental interventions aimed at the enhancement of intelligence on mediating process parameters. Moreover, cognitive models provide an explicit theoretical formalization of theories regarding specific cognitive process that may help overcoming ambiguities in the interpretation of fuzzy verbal theories. In this paper, we give an overview of the advantages of cognitive modeling in intelligence research and present models in the domains of processing speed, working memory, and selective attention that may be of particular interest for intelligence research. Moreover, we provide guidelines for the application of cognitive models in intelligence research, including data collection, the evaluation of model fit, and statistical analyses.

scholarly journals Processing Speed, Working Memory, and Executive Functions: Independent or inter-related predictors of general intelligence

2019 ◽  
Author(s):  
Gidon T. Frischkorn ◽  
Anna-Lena Schubert ◽  
Dirk Hagemann
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Executive Functions ◽  
Cognitive Processes ◽  
Processing Speed ◽  
Predictive Power ◽  
Working Memory Capacity ◽  
Order Processing ◽  
Executive Processing ◽  
Processing Demands

Both working memory capacity (WMC) and processing speed (PS) have been discussed as important covariates of individual differences in intelligence. Recent results indicated that especially latencies of ERP components associated with higher-order processing (P2, N2, and P3) may share up to 80% of variance with individual differences in intelligence. WMC has a similar predictive power and thus these two processes cannot explain individual differences in intelligence independently. The current study explores in how far individual differences in executive functions (EFs) may bridge the gap between WMC and PS as predictors of intelligence. We recruited 101 participants who completed three EF tasks – one for each of the three executive functions shifting, updating, and inhibition. Additionally, we assessed participants’ intelligence, WMC, and PS. Results showed that only variance of behavioral RTs consistent across manipulations in the EF tasks was related to WMC, PS, and intelligence. The variance specific to the manipulations in EF tasks was small and showed no consistent correlations with each other or with any of the three covariates. These results suggest that EF tasks capture mostly manipulation-unspecific cognitive processes. Hence, individual differences in the impairment due to additional executive processing demands cannot explain why WMC and PS are related predictors of individual differences in intelligence.

scholarly journals Individual Differences in Eye-Movements During Reading: Working Memory and Speed-of-Processing Effects

2012 ◽  
Vol 5 (1) ◽  
Author(s):  
Matthew J. Traxler ◽  
Clinton L. Johns ◽  
Debra L. Long ◽  
Megan Zirnstein ◽  
Kristen M. Tooley ◽  
...  
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Eye Movements ◽  
Hierarchical Linear Modeling ◽  
Processing Speed ◽  
Reading Speed ◽  
Working Memory Capacity ◽  
Movement Control ◽  
Memory Capacity ◽  
Linear Modeling

Mathematical models of eye-movement control do not yet incorporate individual differences as a source of variation in reading. These models nonetheless provide an excellent foundation for describing and explaining how and why patterns of eye-movements differ across readers (e.g., Rayner et al., 2006). We focus in this article on two aspects of individual variation: global processing speed (e.g., Salthouse, 1996) and working-memory capacity (e.g., Just & Carpenter, 1992). Using Hierarchical Linear Modeling (HLM) (Raudenbush & Bryk, 2001), we tested the extent to which overall reading speed and working-memory capacity moderate the degree to which syntactic and semantic information affect fixation times. We found that working-memory capacity interacted with sentence-characteristic variables only when processing speed was not included in the model.

scholarly journals The role of working memory capacity in evaluative judgments of liking and beauty

2021 ◽  
Author(s):  
Jiajia Che ◽  
Xiaolei Sun ◽  
Martin Skov ◽  
Oshin Vartanian ◽  
Jaume Rossello ◽  
...  
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Visual Art ◽  
Working Memory Capacity ◽  
Memory Task ◽  
Memory Capacity ◽  
Evaluative Judgments ◽  
Memory Resources

Judgments of liking and beauty appear to be expressions of a common hedonic state, but they differ in how they engage cognitive processes. We hypothesized that beauty judgments place greater demands on limited executive resources than judgments of liking. We tested this hypothesis by asking two groups of participants to judge works of visual art for their beauty or liking while having to remember the location of 1, 3, or 5 dots in a 4 by 4 matrix. We also examined the effect of individual differences in working memory capacity. Our results show that holding information about the location of the dots in working memory delayed judgments of beauty but not of liking. Also, the greater participants’ working memory capacity, the faster they completed the working memory task when judging liking, but not when judging beauty. Our study provides evidence that judging beauty draws more on working memory resources than judging liking.

Differential Effects of Executive Processes on Working Memory

2016 ◽  
Vol 37 (4) ◽  
pp. 239-249
Author(s):  
Xuezhu Ren ◽  
Tengfei Wang ◽  
Karl Schweizer ◽  
Jing Guo
Keyword(s):  
Working Memory ◽  
Cognitive Processes ◽  
Latent Variable ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Executive Processes ◽  
Differential Effects ◽  
Prepotent Response ◽  
Two Measures

Abstract. Although attention control accounts for a unique portion of the variance in working memory capacity (WMC), the way in which attention control contributes to WMC has not been thoroughly specified. The current work focused on fractionating attention control into distinctly different executive processes and examined to what extent key processes of attention control including updating, shifting, and prepotent response inhibition were related to WMC and whether these relations were different. A number of 216 university students completed experimental tasks of attention control and two measures of WMC. Latent variable analyses were employed for separating and modeling each process and their effects on WMC. The results showed that both the accuracy of updating and shifting were substantially related to WMC while the link from the accuracy of inhibition to WMC was insignificant; on the other hand, only the speed of shifting had a moderate effect on WMC while neither the speed of updating nor the speed of inhibition showed significant effect on WMC. The results suggest that these key processes of attention control exhibit differential effects on individual differences in WMC. The approach that combined experimental manipulations and statistical modeling constitutes a promising way of investigating cognitive processes.

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