@inproceedings{dd92e579c0ae4a52bd053ab1feef5e6c,
title = "Using HPC and PGAs to optimize noisy computational models of cognition",
abstract = "Cognitive modeling on high performance computing platforms is an emerging field. A preliminary analysis is presented on the use of parallel processing and genetic algorithms for optimizing the fit of non-linear, multivariable symbolic models of human cognition to experimental data. The effectiveness of this experimental optimization methodology is illustrated with a prototype model of a serial arithmetic task built in the ACT-R cognitive architecture. The results confirm that HPC-based optimization techniques could replace the manual optimization techniques used by cognitive modelers up until the present.",
author = "Kase, {Sue E.} and Ritter, {Frank E.} and Michael Schoelles",
year = "2008",
month = dec,
day = "1",
doi = "10.1007/978-1-4020-8735-6_89",
language = "English (US)",
isbn = "9781402087349",
series = "Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering",
pages = "477--482",
booktitle = "Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering",
note = "2007 International Conference on Systems, Computing Sciences and Software Engineering, SCSS 2007, Part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, CISSE 2007 ; Conference date: 03-12-2007 Through 12-12-2007",
}