Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Artificial Memory tasks, structure, performance indicators   von  Lars Ludwig
1. task:  improve on  knowing prevent from  not knowing
two origins of knowing
What‘s  the  time?
knowledge from perception
knowledge from memory
attention knowledge by …
association knowledge by …
mind misload
attention shift
mind  leap
mind overload
information overload
thought overload
mind underload
missing information (need to act)
missing/indirect knowledge (need to think)
mind error
false information
false memory
mind contradiction
contradicting  information
contradicting  knowledge
types of not knowing <ul><li>mind misload </li></ul><ul><li>mind overload </li></ul><ul><li>mind underload </li></ul><ul><...
2. structure
Artificial Memory
Artificial Extending Memory  (remembering)
Artificial   Expanding   Memory  (learning)
Artificial Reflective Memory  (reflecting)
3. Performance indicators
Remembering Recall <ul><ul><li>number of distinct  perceived   information chunks  </li></ul></ul><ul><ul><li>from  artifi...
Remembering Precision <ul><ul><li>number of  distinct  perceived information chunks  </li></ul></ul><ul><ul><li>from  arti...
Learning Recall <ul><ul><li>number of distinct  perceived  new  information chunks  </li></ul></ul><ul><ul><li>from  artif...
Learning Precision <ul><ul><li>number of  distinct  new perceived information chunks  </li></ul></ul><ul><ul><li>from  art...
Reflective Recall <ul><ul><li>number   of   distinct   perceived   reflective   information   chunks </li></ul></ul><ul><u...
Reflective Precision <ul><ul><li>number   of   distinct   perceived   reflective   information   chunks </li></ul></ul><ul...
Upcoming SlideShare
Loading in …5
×

WM2009 Solothurn, PKM, Artificial Memory presentation by Lars Ludwig

1,643 views

Published on

presentation about Artificial Memory by Lars Ludwig; conference contribution WM2009 Solothurn

Published in: Education, Technology
  • Be the first to comment

WM2009 Solothurn, PKM, Artificial Memory presentation by Lars Ludwig

  1. 1. Artificial Memory tasks, structure, performance indicators von Lars Ludwig
  2. 2. 1. task: improve on knowing prevent from not knowing
  3. 3. two origins of knowing
  4. 4. What‘s the time?
  5. 5. knowledge from perception
  6. 6. knowledge from memory
  7. 7. attention knowledge by …
  8. 8. association knowledge by …
  9. 9. mind misload
  10. 10. attention shift
  11. 11. mind leap
  12. 12. mind overload
  13. 13. information overload
  14. 14. thought overload
  15. 15. mind underload
  16. 16. missing information (need to act)
  17. 17. missing/indirect knowledge (need to think)
  18. 18. mind error
  19. 19. false information
  20. 20. false memory
  21. 21. mind contradiction
  22. 22. contradicting information
  23. 23. contradicting knowledge
  24. 24. types of not knowing <ul><li>mind misload </li></ul><ul><li>mind overload </li></ul><ul><li>mind underload </li></ul><ul><li>mind error </li></ul><ul><li>mind contradiction </li></ul>
  25. 25. 2. structure
  26. 26. Artificial Memory
  27. 27. Artificial Extending Memory (remembering)
  28. 28. Artificial Expanding Memory (learning)
  29. 29. Artificial Reflective Memory (reflecting)
  30. 30. 3. Performance indicators
  31. 31. Remembering Recall <ul><ul><li>number of distinct perceived information chunks </li></ul></ul><ul><ul><li>from artificial extending memory </li></ul></ul><ul><ul><li>sensibly associable </li></ul></ul><ul><li>_______________________________________ </li></ul><ul><ul><li>number of all distinct information chunks </li></ul></ul><ul><ul><li>from personal artifacts ever created </li></ul></ul><ul><ul><li>sensibly associable </li></ul></ul>
  32. 32. Remembering Precision <ul><ul><li>number of distinct perceived information chunks </li></ul></ul><ul><ul><li>from artificial extending memory </li></ul></ul><ul><ul><li>sensibly associable </li></ul></ul><ul><li>_______________________________________ </li></ul><ul><ul><li>number of perceived information chunks </li></ul></ul>
  33. 33. Learning Recall <ul><ul><li>number of distinct perceived new information chunks </li></ul></ul><ul><ul><li>from artificial expanding memory </li></ul></ul><ul><ul><li>sensibly associable </li></ul></ul><ul><li>_______________________________________ </li></ul><ul><ul><li>number of all distinct new information chunks </li></ul></ul><ul><ul><li>(made) available </li></ul></ul><ul><ul><li>sensibly associable </li></ul></ul>
  34. 34. Learning Precision <ul><ul><li>number of distinct new perceived information chunks </li></ul></ul><ul><ul><li>from artificial expanding memory </li></ul></ul><ul><ul><li>sensibly associable </li></ul></ul><ul><li>_______________________________________ </li></ul><ul><ul><li>number of perceived information chunks </li></ul></ul>
  35. 35. Reflective Recall <ul><ul><li>number of distinct perceived reflective information chunks </li></ul></ul><ul><ul><li>from artificial reflective memory </li></ul></ul><ul><li>_______________________________________ </li></ul><ul><ul><li>number of all remembered/thought upon </li></ul></ul><ul><ul><li>information chunks </li></ul></ul>
  36. 36. Reflective Precision <ul><ul><li>number of distinct perceived reflective information chunks </li></ul></ul><ul><ul><li>from artificial reflective memory </li></ul></ul><ul><li>_______________________________________ </li></ul><ul><ul><li>number of perceived information chunks </li></ul></ul>

×