50 lines
3.0 KiB
Markdown
50 lines
3.0 KiB
Markdown
---
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title: "MindModeling@Home"
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chunk: 1/1
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source: "https://en.wikipedia.org/wiki/MindModeling@Home"
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category: "reference"
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tags: "science, encyclopedia"
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date_saved: "2026-05-05T04:12:21.237454+00:00"
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instance: "kb-cron"
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---
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MindModeling@Home is an inactive non-profit, volunteer computing research project for the advancement of cognitive science. MindModeling@Home is hosted by Wright State University and the University of Dayton in Dayton, Ohio.
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In BOINC, it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence. It can only operate on a 64-bit operating system, preferably on a computer with multiple cores, running a Microsoft Windows, Mac OS X, or Linux operating system. This project is not compatible with mobile devices, unlike other projects on BOINC.
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== Research focus ==
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N-2 Repetition: understanding how people have a harder time returning to a task from another one
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Observing how people read through their eye movement for the purpose of helping people reduce eye strain and processing what they read better and faster.
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Modeling decision-making: resolving around decisions made from visual processing (focus and filtering)
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Integrated Learning Models (ILM) to create algorithms based on how people learn and make decisions
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How the brain performs tasks sequentially and simultaneously by measuring its blood flow
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== Problems ==
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Its status is inactive. However, it is "not down or closed," as its servers are still running.
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The projects are long; prolonged amounts of computing time can overheat a computer. The solution is to stop work on the project until the computer cools down.
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It is subject to power outages, as seen on October 7, 2018
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When the website will be out of beta mode is unknown, as it has been in beta since 2007
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== Scientific results ==
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Godwin H.J., Walenchok S. et al. Faster than the speed of rejection: Object identification processes during visual search for multiple targets. J Exp Psychol Hum Percept Perform. 41–4, (2016).
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Moore L. R., Gunzelmann G. An interpolation approach for fitting computationally intensive models. Cognitive Systems Research 19, (2014).
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Moore L.R. Cognitive model exploration and optimization: a new challenge for computational science. Comput Math Organ Theory 17, 296–313. (2011).
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Moore L.R., Kopala M., Mielke T. et al. Simultaneous performance exploration and optimized search with volunteer computing. 19th ACM International Symposium on High Performance Distributed Computing, (2010).
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Harris J., Gluck K.A., Moore L.R. MindModeling@Home. . . and Anywhere Else You Have Idle Processors. 9th International Conference on Cognitive Modelling, (2009).
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Gluck K., Scheutz M. Combinatorics meets processing power: Large-scale computational resources for BRIMS. 16th Conference on Behavior Representation in Modeling and Simulation, BRIMS. 1. 73–83. (2007).
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== See also ==
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List of volunteer computing projects
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== References ==
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== External links ==
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Official website
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BOINC
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Video of the MindModeling@Home trailer on YouTube
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MindModeling@Home screensaver video on YouTube |