MindModeling@Home: Difference between revisions
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| description = MindModeling@Home is an inactive volunteer computing project that used computational cognitive process modeling to study the mechanisms and processes of human performance and learning, hosted by Wright State University and the University of Dayton. | | description = MindModeling@Home is an inactive volunteer computing project that used computational cognitive process modeling to study the mechanisms and processes of human performance and learning, hosted by Wright State University and the University of Dayton. | ||
| status = | | status = Completed | ||
| category = Cognitive Science | | category = Cognitive Science | ||
| compute = CPU | | compute = CPU | ||
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| size = | | size = | ||
| stats as of = | | stats as of = {{Start date and age|2016|08|01}} | ||
| average performance = | | average performance = 5555.82 GigaFLOPS | ||
| active users = | | active users = 2729 | ||
| total users = | | total users = 18702 | ||
| active hosts = | | active hosts = 4334 | ||
| total hosts = | | total hosts = 44271 | ||
| rac = | | rac = | ||
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}} | }} | ||
'''MindModeling@Home''' is an inactive, non-profit [[wikipedia:Volunteer computing|volunteer computing]] research project for the advancement of [[wikipedia:Cognitive science|cognitive science]].<ref name="wikipedia">{{Cite web |title=MindModeling@Home |url=https://en.wikipedia.org/wiki/MindModeling@Home |website=Wikipedia |access-date=2026-06-28}}</ref> The project was hosted by [[wikipedia:Wright State University|Wright State University]] and the [[wikipedia:University of Dayton|University of Dayton]] in Dayton, Ohio, and used idle processing time donated by volunteers to run computational cognitive process models intended to improve scientific understanding of the mechanisms and processes that enable and moderate human performance and learning.<ref name="wikipedia" /><ref name="official">{{Cite web |title=MindModeling@Home |url=https://mindmodeling.org/ |website=mindmodeling.org |access-date=2026-06-28}}</ref> | '''[https://web.archive.org/web/20200421212107/https://mindmodeling.org/ MindModeling@Home]''' is an inactive, non-profit [[wikipedia:Volunteer computing|volunteer computing]] research project for the advancement of [[wikipedia:Cognitive science|cognitive science]].<ref name="wikipedia">{{Cite web |title=MindModeling@Home |url=https://en.wikipedia.org/wiki/MindModeling@Home |website=Wikipedia |access-date=2026-06-28}}</ref> The project was hosted by [[wikipedia:Wright State University|Wright State University]] and the [[wikipedia:University of Dayton|University of Dayton]] in Dayton, Ohio, and used idle processing time donated by volunteers to run computational cognitive process models intended to improve scientific understanding of the mechanisms and processes that enable and moderate human performance and learning.<ref name="wikipedia" /><ref name="official">{{Cite web |title=MindModeling@Home |url=https://mindmodeling.org/ |website=mindmodeling.org |access-date=2026-06-28}}</ref> | ||
The project ran on the [[wikipedia:BOINC|BOINC]] platform and was listed in BOINC's Cognitive Science category.<ref name="boincwiki">{{Cite web |title=MindModeling@Home |url=https://boinc.berkeley.edu/wiki/MindModeling@Home |website=boinc.berkeley.edu |access-date=2026-06-28}}</ref> It required a 64-bit operating system, was best suited to multi-core computers, and supported Microsoft Windows, Mac OS X, and Linux; unlike many other BOINC projects, it was not compatible with mobile devices.<ref name="wikipedia" /> | The project ran on the [[wikipedia:BOINC|BOINC]] platform and was listed in BOINC's Cognitive Science category.<ref name="boincwiki">{{Cite web |title=MindModeling@Home |url=https://boinc.berkeley.edu/wiki/MindModeling@Home |website=boinc.berkeley.edu |access-date=2026-06-28}}</ref> It required a 64-bit operating system, was best suited to multi-core computers, and supported Microsoft Windows, Mac OS X, and Linux; unlike many other BOINC projects, it was not compatible with mobile devices.<ref name="wikipedia" /> | ||
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* '''Sequential and simultaneous task performance''', studying how the brain carries out tasks in sequence versus in parallel by measuring blood flow. | * '''Sequential and simultaneous task performance''', studying how the brain carries out tasks in sequence versus in parallel by measuring blood flow. | ||
Much of this work made use of computationally intensive [[wikipedia:Cognitive architecture|cognitive architectures]] and Monte Carlo-style search over model parameter spaces. For a cognitive model with a parameter vector <math>\theta \in \mathbb{R}^n</math> and an objective | Much of this work made use of computationally intensive [[wikipedia:Cognitive architecture|cognitive architectures]] and Monte Carlo-style search over model parameter spaces. For a cognitive model with a parameter vector <math>\theta \in \mathbb{R}^n</math> and an objective functi<math>f(\theta)</math>on measuring the discrepancy between simulated and observed human performance, the project's volunteer computing infrastructure was used to evaluate <math>f(\theta)</math> at very large numbers of candidate parameter settings in parallel across donated hosts, an approach described in the project's published methodology as simultaneous performance exploration and optimized search.<ref name="hpdc2010">{{Cite journal |last=Moore |first=L. Richard |last2=Kopala |first2=Matthew |last3=Mielke |first3=Thomas |last4=Krusmark |first4=Michael |last5=Gluck |first5=Kevin A. |title=Simultaneous performance exploration and optimized search with volunteer computing |url=http://portal.acm.org/citation.cfm?doid=1851476.1851518 |journal=Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing |year=2010 |doi=10.1145/1851476.1851518}}</ref> | ||
== Technical operation == | == Technical operation == | ||