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ACT-R Workshop Schedule Opening: ACT-R from CMU ’ s Perspective PowerPoint Presentation
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ACT-R Workshop Schedule Opening: ACT-R from CMU ’ s Perspective

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  1. ACT-R Workshop Schedule • Opening: ACT-R from CMU’s Perspective • 9:00 - 9:45 Overview of ACT-R -- John R. Anderson • 9:45 – 10:30 Details of ACT-R 6.0 -- Dan Bothell • Break: 10:30 – 11:00 • Presentations 1: Architecture • 11:00 – 11:30 Functional constraints on architectural mechanisms -- Christian Lebiere • 11:30 – 12:00 Retrieval by Accumulating Evidence in ACT-R -- Leendert van Maanen • 12:00 – 12:30 A mechanism for decisions in the absence of prior reward -- Vladislav D. Veksler • Lunch: 12:30 – 1:30 • Presentations 2: Extensions • 1:30 – 2:00 ACT-R forays into the semantic web -- Lael J. Schooler • 2:00 – 2:30 Making Models Tired: A Module for Fatigue -- Glenn F. Gunzelmann • 2:30 – 3:00 Acting outside the box: Truly embodied ACT-R -- Anthony Harrison • 3:00 - 3:30 Interfacing ACT-R with different types of environments and with different techniques: Issues and Suggestions.-- Michael J. Schoelles • Break: 3:30 – 4:00 • Panel: 4:00 – 5:30: Future of ACT-R from a non-CMU Perspective • Danilo Fum, Kevin A. Gluck, Wayne D. Gray, Niels A. Taatgen, J. Gregory Trafton, Richard M. Young

  2. Retrieval by Accumulating Evidence in ACT-R Leendert van Maanen University of Groningen leendert@ai.rug.nl

  3. Memory is vital for behavior

  4. Picture-word interference

  5. Picture-word interference Giraffe

  6. Giraffe giraffe Picture-word interference data giraffe 0.1 (Glaser & Düngelhoff, 1984)

  7. ACT-R model of PWI task

  8. ACT-R model of PWI task

  9. ACT-R model of PWI task

  10. ACT-R model of PWI task

  11. ACT-R model of PWI task

  12. ACT-R model of PWI task

  13. ACT-R model of PWI task

  14. ACT-R model of PWI task

  15. Expected model of PWI task

  16. The ACT-R retrieval process Giraffe

  17. Sequential Sampling framework threshold  Accumulators

  18. Sequential Sampling framework threshold  Giraffe Accumulators

  19. Sequential Sampling • Response time = Decision time + Additional processes

  20. RACE/A • Retrieval by accumulating evidence • Accumulates activation • Until a decision criterion • Integration of cognitive architecture and sequential sampling model • Both the control structure of ACT-R • And the level of detail from sequential sampling models (specifically, Leaky Competitive Accumulator, Usher & McClelland, 2001)

  21. The RACE/A retrieval process

  22. The RACE/A retrieval process

  23. The RACE/A retrieval process

  24. Picture-word Interference Model giraffe Giraffe giraffe 0.1 Van Maanen & Van Rijn, 2007 (Glaser & Düngelhoff, 1984)

  25. RACE/A Parameters :race-saliency external activation :ratio-ratio decision boundary :race-a decay rate (complements d) :race-b spreading activation scaling factor Baselevel activation Spreading activation (Sji)

  26. RACE/A Parameters :race-saliency external activation :ratio-ratio decision criterion :race-a decay rate (complements d) :race-b spreading activation scaling factor Baselevel activation Spreading activation

  27. :race-saliency :race-ratio

  28. RACE/A Parameters :race-saliency external activation :ratio-ratio decision boundary :race-a decay rate (complements d) :race-b spreading activation scaling factor Baselevel activation Spreading activation

  29. Baselevel activation differences :race-ratio :race-ratio

  30. RACE/A Parameters :race-saliency external activation :ratio-ratio decision boundary :race-a decay rate (complements d) :race-b spreading activation scaling factor Baselevel activation Spreading activation (Sji)

  31. Giraffe giraffe Spreading activation differences :race-ratio :race-ratio

  32. RACE/A Parameters :race-saliency external activation :ratio-ratio decision boundary :race-a decay rate (complements d) :race-b spreading activation scaling factor Baselevel activation Spreading activation

  33. :race-a :race-ratio :race-ratio

  34. Sequences of retrievals :race-ratio • RACE/A: dependencies between declarative retrievals Retrieval 1 Retrieval 2 Retrieval 2

  35. RACE/A may be useful for • Models of competitive processes • Stroop task / Picture-word interference (Van Maanen & Van Rijn, 2008) • Classification • Absolute identification • Models of sequences of retrievals • Language production/interpretation • (Diagnostic) reasoning • Psychological refractory period (Van Maanen et al, in press, PB&R)

  36. Summary RACE/A • Integration of cognitive architecture and sequential sampling model • ACT-R • Leaky Competitive Accumulator (Usher & McClelland, 2001) • Meant to explain • Competitive processes in memory retrieval • Sequential processes in memory retrieval • Especially useful in complex tasks • For example: PWI-PRP (eg. ICCM talk)

  37. More information • Download module + documentation http://www.ai.rug.nl/~leendert/race • Contact me leendert@ai.rug.nl • Read my thesis

  38. Thank you for your attention! Collaborators: Leendert van Maanen (leendert@ai.rug.nl) Niels Taatgen Hedderik van Rijn

  39. Multilink priming Mediated priming effects found (Becker, Moscovitch, Behrmann, & Joordens, 1997; Joordens & Besner, 1992) Bull primes milk (via cow) Evidence for spreading activation over multiple connections

  40. Activation in ACT-R and RACE/A Activation in ACT-R: based on rational analysis Neural implementation (ACTR/NN) Neural interpretation (Anderson, 2007) Shows that ACT-Rs latency equation make similar predictions as accumulator models (in the one-chunk case!) Activation in RACE/A: based on neurally inspired accumulator models the RACE/A decision process is an estimate of the optimal (=rational) decision time (MSPRT, McMillen & Holmes, 2006)