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MindModeling@Home

August 25, 2023

MindModeling@Home[2] 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.

MindModeling@Home
interactive screensaver
Initial releaseMarch 17, 2007 (2007-03-17)
Development statusInactive
Operating systemCross-platform
PlatformBOINC
Average performance0 GFLOPS,[1]
Active users0
Total users0
Active hosts0
Total hosts0
Websitemindmodeling.org

In BOINC, it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence.[3] 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.

Research focus Edit

  • N-2 Repetition: understanding how people have a harder time returning to a task from another one
  • 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.
  • Modeling decision-making: resolving around decisions made from visual processing (focus and filtering)
  • Integrated Learning Models (ILM) to create algorithms based on how people learn and make decisions
  • How the brain performs tasks sequentially and simultaneously by measuring its blood flow[4]

Problems Edit

  • Its status is inactive.[5] However, it is "not down or closed,"[6] as its servers are still running.[7]
  • 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.[8]
  • It is subject to power outages, as seen on October 7, 2018[9]
  • When the website will be out of beta mode is unknown, as it has been in beta since 2007[10]

Scientific results Edit

  1. 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).[11]
  2. Moore L. R., Gunzelmann G. An interpolation approach for fitting computationally intensive models. Cognitive Systems Research 19, (2014).[12]
  3. Moore L.R. Cognitive model exploration and optimization: a new challenge for computational science. Comput Math Organ Theory 17, 296–313. (2011).[13]
  4. 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).[14]
  5. Harris J., Gluck K.A., Moore L.R. MindModeling@Home. . . and Anywhere Else You Have Idle Processors. 9th International Conference on Cognitive Modelling, (2009).[15]
  6. 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).[16]

See also Edit

References Edit

  1. ^ de Zutter W. "MindModeling@Home: Credit overview". boincstats.com. from the original on 2022-03-01. Retrieved 2023-06-18.
  2. ^ Moore, L. Richard; Kopala, Matthew; Mielke, Thomas; Krusmark, Michael; Gluck, Kevin A. (2010-06-21). "Simultaneous performance exploration and optimized search with volunteer computing". Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing. HPDC '10. New York, NY, USA: Association for Computing Machinery. pp. 312–315. doi:10.1145/1851476.1851518. ISBN 978-1-60558-942-8. S2CID 18679055. from the original on 2022-09-05. Retrieved 2022-08-14.
  3. ^ "Choosing BOINC projects". boinc.berkeley.edu. from the original on 2018-01-03. Retrieved 2019-07-13.
  4. ^ "Projects Overview". mindmodeling.org. from the original on 2019-07-12. Retrieved 2019-07-13.
  5. ^ "MindModeling@Home - BOINC". boinc.berkeley.edu. from the original on 2019-03-06. Retrieved 2019-07-13.
  6. ^ "Hails and Farewells". mindmodeling.org. from the original on 2018-08-17. Retrieved 2019-07-13.
  7. ^ "Project status". mindmodeling.org. from the original on 2019-07-13. Retrieved 2019-07-13.
  8. ^ "Read our rules and policies". mindmodeling.org. from the original on 2019-07-13. Retrieved 2019-07-13.
  9. ^ "MindModeling@Home (Beta)". mindmodeling.org. from the original on 2019-07-13. Retrieved 2019-07-13.
  10. ^ "When will mindmodeling@home be out of beta". mindmodeling.org. from the original on 2018-08-27. Retrieved 2019-07-13.
  11. ^ Godwin, Hayward J.; Walenchok, Stephen C.; Houpt, Joseph W.; Hout, Michael C.; Goldinger, Stephen D. (August 2015). "Faster than the speed of rejection: Object identification processes during visual search for multiple targets". Journal of Experimental Psychology: Human Perception and Performance. 41 (4): 1007–1020. doi:10.1037/xhp0000036. ISSN 1939-1277. PMC 4516661. PMID 25938253.
  12. ^ Richard Moore, L.; Gunzelmann, Glenn (2014-09-01). "An interpolation approach for fitting computationally intensive models". Cognitive Systems Research. 29–30: 53–65. doi:10.1016/j.cogsys.2013.09.001. ISSN 1389-0417. S2CID 26656979.
  13. ^ Moore, L. Richard (2011-09-01). "Cognitive model exploration and optimization: a new challenge for computational science". Computational and Mathematical Organization Theory. 17 (3): 296–313. doi:10.1007/s10588-011-9092-8. ISSN 1572-9346. S2CID 7767242.
  14. ^ Moore, L. Richard; Kopala, Matthew; Mielke, Thomas; Krusmark, Michael; Gluck, Kevin A. (2010-06-21). "Simultaneous performance exploration and optimized search with volunteer computing". Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing. HPDC '10. New York, NY, USA: Association for Computing Machinery. pp. 312–315. doi:10.1145/1851476.1851518. ISBN 978-1-60558-942-8. S2CID 18679055.
  15. ^ "Mindmodeling@Home. . . and Anywhere Else You Have Idle Processors". {{cite journal}}: Cite journal requires |journal= (help)
  16. ^ "ACT-R » Publications » Combinatorics meets processing power: larger-scale computational resources for BRIMS". Retrieved 2022-10-09.

External links Edit

  • Official website  
  • BOINC
  • Video of the MindModeling@Home trailer on YouTube
  • MindModeling@Home screensaver video on YouTube


 

This computer science article is a stub. You can help Wikipedia by expanding it.

August 25, 2023
mindmodeling, home, inactive, profit, volunteer, computing, research, project, advancement, cognitive, science, hosted, wright, state, university, university, dayton, dayton, ohio, interactive, screensaverinitial, releasemarch, 2007, 2007, development, statusi. MindModeling Home 2 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 MindModeling Homeinteractive screensaverInitial releaseMarch 17 2007 2007 03 17 Development statusInactiveOperating systemCross platformPlatformBOINCAverage performance0 GFLOPS 1 Active users0Total users0Active hosts0Total hosts0Websitemindmodeling wbr orgIn BOINC it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence 3 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 Contents 1 Research focus 2 Problems 3 Scientific results 4 See also 5 References 6 External linksResearch focus EditN 2 Repetition understanding how people have a harder time returning to a task from another one 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 Modeling decision making resolving around decisions made from visual processing focus and filtering Integrated Learning Models ILM to create algorithms based on how people learn and make decisions How the brain performs tasks sequentially and simultaneously by measuring its blood flow 4 Problems EditIts status is inactive 5 However it is not down or closed 6 as its servers are still running 7 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 8 It is subject to power outages as seen on October 7 2018 9 When the website will be out of beta mode is unknown as it has been in beta since 2007 10 Scientific results EditGodwin 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 11 Moore L R Gunzelmann G An interpolation approach for fitting computationally intensive models Cognitive Systems Research 19 2014 12 Moore L R Cognitive model exploration and optimization a new challenge for computational science Comput Math Organ Theory 17 296 313 2011 13 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 14 Harris J Gluck K A Moore L R MindModeling Home and Anywhere Else You Have Idle Processors 9th International Conference on Cognitive Modelling 2009 15 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 16 See also EditList of volunteer computing projectsReferences Edit de Zutter W MindModeling Home Credit overview boincstats com Archived from the original on 2022 03 01 Retrieved 2023 06 18 Moore L Richard Kopala Matthew Mielke Thomas Krusmark Michael Gluck Kevin A 2010 06 21 Simultaneous performance exploration and optimized search with volunteer computing Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing HPDC 10 New York NY USA Association for Computing Machinery pp 312 315 doi 10 1145 1851476 1851518 ISBN 978 1 60558 942 8 S2CID 18679055 Archived from the original on 2022 09 05 Retrieved 2022 08 14 Choosing BOINC projects boinc berkeley edu Archived from the original on 2018 01 03 Retrieved 2019 07 13 Projects Overview mindmodeling org Archived from the original on 2019 07 12 Retrieved 2019 07 13 MindModeling Home BOINC boinc berkeley edu Archived from the original on 2019 03 06 Retrieved 2019 07 13 Hails and Farewells mindmodeling org Archived from the original on 2018 08 17 Retrieved 2019 07 13 Project status mindmodeling org Archived from the original on 2019 07 13 Retrieved 2019 07 13 Read our rules and policies mindmodeling org Archived from the original on 2019 07 13 Retrieved 2019 07 13 MindModeling Home Beta mindmodeling org Archived from the original on 2019 07 13 Retrieved 2019 07 13 When will mindmodeling home be out of beta mindmodeling org Archived from the original on 2018 08 27 Retrieved 2019 07 13 Godwin Hayward J Walenchok Stephen C Houpt Joseph W Hout Michael C Goldinger Stephen D August 2015 Faster than the speed of rejection Object identification processes during visual search for multiple targets Journal of Experimental Psychology Human Perception and Performance 41 4 1007 1020 doi 10 1037 xhp0000036 ISSN 1939 1277 PMC 4516661 PMID 25938253 Richard Moore L Gunzelmann Glenn 2014 09 01 An interpolation approach for fitting computationally intensive models Cognitive Systems Research 29 30 53 65 doi 10 1016 j cogsys 2013 09 001 ISSN 1389 0417 S2CID 26656979 Moore L Richard 2011 09 01 Cognitive model exploration and optimization a new challenge for computational science Computational and Mathematical Organization Theory 17 3 296 313 doi 10 1007 s10588 011 9092 8 ISSN 1572 9346 S2CID 7767242 Moore L Richard Kopala Matthew Mielke Thomas Krusmark Michael Gluck Kevin A 2010 06 21 Simultaneous performance exploration and optimized search with volunteer computing Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing HPDC 10 New York NY USA Association for Computing Machinery pp 312 315 doi 10 1145 1851476 1851518 ISBN 978 1 60558 942 8 S2CID 18679055 Mindmodeling Home and Anywhere Else You Have Idle Processors a href Template Cite journal html title Template Cite journal cite journal a Cite journal requires journal help ACT R Publications Combinatorics meets processing power larger scale computational resources for BRIMS Retrieved 2022 10 09 External links EditOfficial website BOINC Video of the MindModeling Home trailer on YouTube MindModeling Home screensaver video on YouTube This computer science article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title MindModeling Home amp oldid 1169281694, wikipedia, wiki, book, books, library,

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