Description: Cognitive Model Optimization with Parallel Genetic Algorithms by Sue Kase To enable an individual differences investigation of how stress affects cognitive performance in a mental serial subtraction task a new optimization approach was developed for computing the fit of a serial subtraction cognitive model to human performance data by varying architectural parameters. The new optimization approach utilizes a modified parallel genetic algorithm (PGA) on a high performance computing (HPC) cluster together with the ACT-R cognitive architecture and a serial subtraction cognitive model. The optimization approach was highly successful in fitting the serial subtraction model superseding the fields traditional manual optimization process. The optimization results revealed several interesting patterns in the parametric values found to produce best fits to the human data; some of which are supported by individual differences theories of stress and anxiety from cognitive performance research. The book describes a prototype optimization system for individual differences modeling and validation that is useful to cognitive science and performance researchers. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description To enable an individual differences investigation of how stress affects cognitive performance in a mental serial subtraction task a new optimization approach was developed for computing the fit of a serial subtraction cognitive model to human performance data by varying architectural parameters. The new optimization approach utilizes a modified parallel genetic algorithm (PGA) on a high performance computing (HPC) cluster together with the ACT-R cognitive architecture and a serial subtraction cognitive model. The optimization approach was highly successful in fitting the serial subtraction model superseding the fields traditional manual optimization process. The optimization results revealed several interesting patterns in the parametric values found to produce best fits to the human data; some of which are supported by individual differences theories of stress and anxiety from cognitive performance research. The book describes a prototype optimization system for individual differences modeling and validation that is useful to cognitive science and performance researchers. Author Biography PhD, College of Information Sciences and Technology at the Pennsylvania State University. Postdoctoral Fellow at the Defense Threat Reduction Agency, Directorate of Basic and Applied Science, Fort Belvoir, Virginia. Senior Modeling and Simulation Engineer at The MITRE Corporation, McLean, Virginia. Details ISBN3639167848 Author Sue Kase Short Title COGNITIVE MODEL OPTIMIZATION W Pages 108 Publisher VDM Verlag Language English ISBN-10 3639167848 ISBN-13 9783639167849 Media Book Format Paperback Year 2009 Subtitle Investigating Individual Differences Publication Date 2009-07-07 UK Release Date 2009-07-07 Imprint VDM Verlag Country of Publication Germany Illustrations black & white illustrations Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:132588325;
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ISBN-13: 9783639167849
Book Title: Cognitive Model Optimization with Parallel Genetic Algorithms
Number of Pages: 108 Pages
Language: English
Publication Name: Cognitive Model Optimization with Parallel Genetic Algorithms
Publisher: Vdm Verlag
Publication Year: 2009
Item Height: 229 mm
Item Weight: 168 g
Type: Textbook
Author: Sue Kase
Subject Area: Experimental Psychology
Item Width: 152 mm
Format: Paperback
