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The acquisition of robust and flexible cognitive skills.
Open accessAbstract
The authors introduce a model of skill acquisition that incorporates elements of both traditional models and models based on embedded cognition by striking a balance between top-down and bottom-up control. A knowledge representation is used in which pre- and postconditions are attached to actions. This model captures improved performance due to learning not only in terms of shorter solution times and lower error rates during the task but also in an increased flexibility to solve similar problems and robustness against unexpected events. In 3 experiments using a complex aviation task, the authors contrasted instructions that explicitly stated pre- and postconditions with conventional instructions that did not. The instructions with pre- and postconditions led to better and more robust performance than other instructions, especially on problems that required transfer. The parameters of the model were estimated to obtain a quantitative fit of the results of Experiment 1, which was then successfully used to predict the results of Experiments 2 and 3.
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“Taatgen et al. (2008) developed a model within the ACT-R (adaptive control of thoughtrational) cognitive architecture that shows how behavioral control shifts from an internal, declarative task representation to environmental cues when acquiring a new action routine.”
From Psychology of Habit. (2016) · cites this paper as Taatgen et al. 2008
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“With practice, explicit memory retrieval is gradually transformed into a process by which perceptual cues trigger the relevant action directly.”
From Psychology of Habit. (2016) · cites this paper as Taatgen et al. 2008
Citations
Cites
STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
Fikes, R. E., & Nilsson, N. J. (1971) · Artificial Intelligence · doi:10.1016/0004-3702(71)90010-5 · Cited by 4,882
Intelligence without representation
Brooks, R. A. (1991) · Artificial Intelligence · doi:10.1016/0004-3702(91)90053-m · Cited by 4,853
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5376 · Cited by 4,218
The Psychology of Human-Computer Interaction
Card, S. K., Moran, T. P., & Newell, A. (2018) · CRC Press eBooks · doi:10.1201/9780203736166 · Cited by 4,103
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Self-citationThe Psychology of Everyday Things
Massaro, D. W., & Norman, D. A. (1990) · The American Journal of Psychology · doi:10.2307/1423268 · Cited by 3,484
Some Philosophical Problems from the Standpoint of Artificial Intelligence
McCarthy, J., & Hayes, P. J. (1981) · Elsevier eBooks · doi:10.1016/b978-0-934613-03-3.50033-7 · Cited by 3,296
The Cambridge Handbook of Expertise and Expert Performance
Ericsson, K. A., Charness, N. H., Feltovich, P. J., Hoffman, R. R., Michelene, T. H., Hunt, E., Prietula, M. J., Amirault, R. J., Branson, R. K., Buchanan, B. G., et al. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816796 · Cited by 3,160
An Integrated Theory of the Mind.
Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C. J., & Qin, Y. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.1036 · Cited by 3,153
Self-citationBeing There: Putting Brain, Body and World Together Again.
van Gelder, T., & Clark, A. (1998) · The Philosophical Review · doi:10.2307/2998391 · Cited by 3,134
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Casner, S. M., Geven, R. W., & Williams, K. T. (2012) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720812466893 · Cited by 134
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Marewski, J. N., & Mehlhorn, K. (2011) · Judgment and Decision Making · doi:10.1017/s1930297500002473 · Cited by 110
Goal-directed control and its antipodes
Dayan, P. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.03.004 · Cited by 93
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Baum, J. R., Bird, B., & Singh, S. (2011) · Personnel Psychology · doi:10.1111/j.1744-6570.2011.01214.x · Cited by 98
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Dayan, P. (2008) · Frontiers in Neuroscience · doi:10.3389/neuro.01.031.2008 · Cited by 84
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Gavish, N., Gutiérrez, T., Webel, S., Rodríguez-Arce, J., & Tecchia, F. (2011) · BIO Web of Conferences · doi:10.1051/bioconf/20110100029 · Cited by 60
van Maanen, L., van Rijn, H., & Taatgen, N. (2011) · Cognitive Science · doi:10.1111/j.1551-6709.2011.01213.x · Cited by 54
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Hobbiss, M. H., Sims, S., & Allen, R. S. (2020) · Review of Education · doi:10.1002/rev3.3226 · Cited by 42
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Matessa, M. (2010) · eScholarship (California Digital Library) · Cited by 1
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Finn, B., & Arslan, B. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190917982.013.71 · Cited by 1
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Nunes, E. P. D. S. (2014) · doi:10.11606/t.3.2014.tde-26122014-154342 · Cited by 1
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Oentaryo, R. J. (2011) · doi:10.32657/10356/43793 · Cited by 1
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Anderson, J. R., Betts, S., & Brunstein, A. (2018) · Figshare · doi:10.1184/r1/6619157
Self-citationKaheru, S. J. M. (2014) · Unisa Institutional Repository (University of South Africa)
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Kirlik, A., & Byrne, M. D. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198795872.013.15
Metadata
- Authors
- Taatgen, N. A., Huss, D., Dickison, D., & Anderson, J. R.
- Affiliations
- University of Groningen (NL)
- Carnegie Mellon University (US)
- Venue
- Journal of Experimental Psychology: General
- Published
- 2008
- Volume
- 137
- Issue
- 3
- Pages
- 548-565
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- OpenAlex
- W2149826736
- Cited by
- 115
- References
- 52
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 7 · 2022: 3 · 2021: 3 · 2020: 9 · 2019: 5 · 2018: 8 · 2017: 3 · 2016: 2 · 2015: 9 · 2014: 9 · 2013: 11 · 2012: 3
- FWCI
- 19.03
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Journal of Experimental Psychology General (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
- KiltHub Repository (submittedVersion)
- Figshare (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- KiltHub Repository
- Funders
- National Aeronautics and Space Administration (NRA2-38169)
- Air Force Office of Scientific Research (FA-95500710359)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Keywords
- skill acquisition, embedded cognition, top-down and bottom-up control, preconditions and postconditions, knowledge representation, transfer of learning, explicit instruction, cognitive flexibility
- MeSH terms
- Attention, Aviation, Cognition, Computer Graphics, Computer Simulation, Concept Formation, Humans, Learning, Models, Psychological, Orientation, Pattern Recognition, Visual, Practice, Psychological, Problem Solving, Psychomotor Performance, Reaction Time, Mental Recall, Transfer, Psychology
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