Taatgen, prof. dr. Niels
Niels Taatgen studeerde informatica en psychologie aan de Rijksuniversiteit Groningen en promoveerde in 1999 op het proefschrift ‘Learning without limits’. Hierna was hij als universitair docent verbonden aan de afdeling Cognitiewetenschappen, later Kunstmatige Intelligentie, van de RUG. Na een periode waarin hij deels aan de Carnegie Mellon universiteit in Pittsburgh (VS) en de RUG werkte, is hij sinds 2009 hoogleraar Cognitive Modelling aan de RUG. Taatgen onderzoekt via computersimulaties het menselijk gedrag om te begrijpen hoe we ons in bepaalde situaties gedragen, bijvoorbeeld bij multitasken.
In 2011 ontving hij een Europese ERC-grant, van 1,5 miljoen euro. Taatgen kreeg dit voor onderzoek naar multitasking. Uitgangspunt was dat mensen in principe goed in staat zijn om te multitasken, maar dat dit soms spaak loopt omdat meerdere taken tegelijk hetzelfde hersengebied nodig hebben. Het onderzoek richtte zich met name op de vraag waarom mensen zo graag meerdere dingen tegelijk willen doen, en onder welke omstandigheden dit wel of juist niet veilig en productief is.
In 2016 werd Taatgen gekozen tot Docent van het Jaar van de RUG. Hij doceert over onderwerpen waarbij hij zelf actief betrokken is, wat te merken is aan zijn kennis van zaken en zijn enthousiasme.
Meer video's
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Taatgen in 'Breingeheim' (uitzending over multitasken, Omroep Max)
Eerder in het nieuws
2023
Paul,
K. I., Mueller, K., Rousseau, P.-N., Glathe, A.,
Taatgen, N. A., Cnossen, F., Lanzer, P.,
Villringer, A., & Steele, C. J. (2023). Visuo-motor
transformations in the intraparietal sulcus mediate the acquisition
of endovascular medical skill.
Neuroimage, 266, Article 119781. https://doi.org/10.1016/j.neuroimage.2022.119781
2022
Toth,
A. G., Hendriks, P., Taatgen,
N., & van Rij, J. (2022). A cognitive
modeling approach to learning and using reference biases in
language. Frontiers in Artificial
Intelligence, 5, Article 933504. https://doi.org/10.3389/frai.2022.933504
Aleven,
V., Blankestijn, J., Lawrence, L. E. M., Nagashima, T., &
Taatgen, N. (2022). A Dashboard to Support Teachers
During Students’ Self-paced AI-Supported Problem-Solving
Practice. In I. Hilliger, P. J. Muñoz-Merino, T. De
Laet, A. Ortega-Arranz, & T. Farrell (Eds.), Educating for
a New Future: Making Sense of Technology-Enhanced Learning Adoption
- 17th European Conference on Technology Enhanced Learning, EC-TEL
2022, Proceedings (pp. 16-30). (Lecture Notes in Computer
Science (including subseries Lecture Notes in Artificial
Intelligence and Lecture Notes in Bioinformatics); Vol. 13450
LNCS). Springer. https://doi.org/10.1007/978-3-031-16290-9_2
Hoekstra,
C., Martens, S., & Taatgen, N.
A. (2022). Testing the skill-based approach:
Consolidation strategy impacts attentional blink
performance. PLoS ONE, 17(1),
Article e0262350. https://doi.org/10.1371/journal.pone.0262350
2021
Toth,
A. G., Taatgen, N., Hendriks,
P., & van Rij, J. (2021). Learning
reference biases from language input: A cognitive modelling
approach. In T. C. Stewart (Ed.), Proceedings of the
19th International Conference on Cognitive Modelling (ICCM
2021) (pp. 282-288). Article 590 Applied Cognitive Science
Lab, Penn State.
Paul,
K. I., Glathe, A., Taatgen, N. A., Steele, C.
J., Villringer, A., Lanzer, P., & Cnossen, F.
(2021). Mental rotation ability predicts the acquisition of
basic endovascular skills. Scientific
Reports, 11, Article 22453. https://doi.org/10.1038/s41598-021-00587-x
Herlambang,
M. B., Taatgen, N. A., & Cnossen,
F. (2021). Modeling motivation using goal competition
in mental fatigue studies. Journal of Mathematical
Psychology, 102, Article 102540. https://doi.org/10.1016/j.jmp.2021.102540
Herlambang,
M. B., Cnossen, F., & Taatgen, N.
A. (2021). The effects of intrinsic motivation on
mental fatigue. PLoS ONE,
16(1), Article e0243754. https://doi.org/10.1371/journal.pone.0243754
Taatgen,
N. A., van Vugt, M. K., Daamen, J., Katidioti,
I., Huijser, S., & Borst, J. P.
(2021). The resource-availability model of distraction and
mind-wandering. Cognitive Systems
Research, 68, 84-104. https://doi.org/10.1016/j.cogsys.2021.03.001
2020
van
der Mijn, R., Damsma, A., Taatgen, N.,
& van Rijn, H. (2021). Individual optimization of
risky decisions in duration and distance estimations.
Attention, Perception, & Psychophysics,
83, 1897–1906. https://doi.org/10.3758/s13414-020-02225-6
Tiotto,
T., Goossens, A., Borst, J.,
Banerjee, T., & Taatgen, N. (2021).
Learning to Approximate Functions Using Nb-doped SrTiO3
Memristors. Frontiers in Neuroscience,
14. https://doi.org/10.3389/fnins.2020.627276
Hoekstra,
C., Martens, S., & Taatgen, N.
A. (2020). A Skill-Based Approach to Modeling the
Attentional Blink. Topics in Cognitive
Science, 12(3), 1030-1045. https://doi.org/10.1111/tops.12514
Taatgen,
N. (2020). A spiking neural architecture that learns
tasks. In T. C. Stewart (Ed.), Proceedings of ICCM 2019
- 17th International Conference on Cognitive Modeling (pp.
253-258). (Proceedings of ICCM 2019 - 17th International Conference
on Cognitive Modeling). Applied Cognitive Science Lab, Penn
State.
Huijser,
S., Verkaik, M., van Vugt, M. K., &
Taatgen, N. A. (2020). Captivated by thought: "Sticky"
thinking leaves traces of perceptual decoupling in task-evoked
pupil size. PLoS ONE, 15(12),
Article e0243532. https://doi.org/10.1371/journal.pone.0243532
Ji,
Y., van Rij, J., & Taatgen, N.
(2020). Cognitive Flexibility in Cognitive Architecture:
Simulating using Contextual Learning in PRIMs. In T. C.
Stewart (Ed.), Poster session presented at 18th International
Conference on Cognitive Modeling (pp. 107-114). Wiley.
Huijser,
S., Taatgen, N. A., & van Vugt, M.
K. (2020). The art of planning ahead: When do we
prepare for the future and when is it effective?
Journal of experimental psychology. Learning, memory, and
cognition. https://doi.org/10.1037/xlm0000970
Taatgen,
N. A. (2020). Theoretical Models of Training and
Transfer Effects. In T. Strobach, & J. Karbach (Eds.),
Cognitive Training: An Overview of Features and Applications:
Second Edition (pp. 41-54). Springer. https://doi.org/10.1007/978-3-030-39292-5_4
2019
Damsma,
A., Taatgen, N., de Jong, R., &
van Rijn, H. (2020). No evidence for an attentional
bias towards implicit temporal regularities.
Attention, Perception & Psychophysics,
82(3), 1136-1149. https://doi.org/10.3758/s13414-019-01851-z
Ji,
Y., van Rij, J., & Taatgen, N.
(2019). Discoveries of the Algebraic Mind: A PRIMs
Model. In Proceedings of ICCM 2019: 17th International
Conference on Cognitive Modelling (pp. 71-76). Waterloo,
Canada: University of Waterloo.
Wray,
R., Taatgen, N., Lebiere, C., Pastra, K., Pirolli, P.,
Rosenbloom, P., Scheutz, M., Stewart, T., & Wiles, J. (2019).
Functional knowledge requirements for interactive task
learning. In K. Gluck, & J. Laird (Eds.),
Interactive task learning: Humans, Robots, and Agents Acquiring
New Tasks through Natural Interactions (pp. 19-51). (
Strüngmann Forum Reports; Vol. 26). The MIT Press. https://mitpress.mit.edu/books/interactive-task-learning
van
Vugt, M. K., Beulen, M. A., & Taatgen, N.
A. (2019). Relation between centro-parietal positivity
and diffusion model parameters in both perceptual and memory-based
decision making. Brain Research,
1715, 1-12. https://doi.org/10.1016/j.brainres.2019.03.008
Taatgen,
N. (2019). The representation of task knowledge at
multiple levels of abstraction. In K. Gluck, & J. Laird
(Eds.), Interactive task learning: Humans, Robots, and Agents
Acquiring New Tasks through Natural Interactions (pp. 75-87).
(Strüngmann Forum Reports; Vol. 26). The MIT Press. https://mitpress.mit.edu/books/interactive-task-learning
Herlambang,
M., Taatgen, N., & Cnossen, F.
(2019). The Role of Motivation as a Factor in Mental
Fatigue. Human Factors,
61(7), 1171-1185. https://doi.org/10.1177/0018720819828569
2018
Arslan,
B., Verbrugge, R., Taatgen, N.,
& Hollebrandse, B. (2020). Accelerating the
Development of Second-Order False Belief Reasoning: A Training
Study With Different Feedback Methods. Child
Development, 91(1), 249-270. https://doi.org/10.1111/cdev.13186
Lieto,
A., Kennedy, W. G., Lebiere, C., Romero, O. J., Taatgen,
N., & West, R. L. (2018). Higher-level Knowledge,
Rational and Social Levels Constraints of the Common Model of the
Mind. In A. V. Samsonovich, & C. J. Lebiere (Eds.),
Postproceedings of the 9th Annual International Conference on
Biologically Inspired Cognitive Architectures, BICA 2018 (Ninth
Annual Meeting of the BICA Society), held August 22-24, 2018 in
Prague, Czech Republic (Vol. 145, pp. 757-764). (Procedia
Computer Science). Elsevier. https://doi.org/10.1016/j.procs.2018.11.033
van
der Velde, M., van Vugt, M., &
Taatgen, N. (2018). Modelling the Effect of Depression
on Working Memory. In I. Juvina, J. Houpt, & C. Myers
(Eds.), Proceedings of the 16th International Conference on
Cognitive Modeling (pp. 200). University of Wisconsin.
Shaposhnik,
H., Taatgen, N., & Borst, J. (2018).
Predicting the optimal time for interruption using pupillary
data and classification. In Proceedings of the Annual
Conference of the Cognitive Science Society (pp. 2479-2484).
Cognitive Science Society.
Verbrugge,
R., Meijering, B., Wierda, S., Van Rijn, H., &
Taatgen, N. (2018). Stepwise training supports
strategic second-order theory of mind in turn-taking games.
Judgment and decision making, 13(1),
79-98.
Wan,
J., & Taatgen, N. (2018). The Influence of
Music and Music Familiarity on Time Perception. In
Proceedings of the Annual Conference of the Cognitive Science
Society (pp. 2657-2662). Cognitive Science Society.
Stevens,
C. A., Daamen, J., Gaudrain, E., Renkema, T., Top, J.
D., Cnossen, F., & Taatgen, N.
A. (2018). Using Cognitive Agents to Train Negotiation
Skills. Frontiers in Psychology,
9, Article 154. https://doi.org/10.3389/fpsyg.2018.00154
2017
Huijser,
S., van Vugt, M. K., & Taatgen, N.
A. (2018). The wandering self: Tracking distracting
self-generated thought in a cognitively demanding context.
Consciousness and Cognition, 58,
170-185. https://doi.org/10.1016/j.concog.2017.12.004
Paul,
K., Cnossen, F., Taatgen, N.,
Lanzer, P., Sehm, B., & Villringer, A. (2017). Brain
Plasticity Related to Psycho-motor Skills in Catheter-based
Interventions. Poster session presented at 7th IMPRS
NeuroCom Summer School, Londen, United Kingdom.
Taatgen,
N. (2017). Cognitive Architectures: Innate or
Learned?. 476-480.
Arslan,
B., Verbrugge, R., & Taatgen, N.
(2017). Cognitive control explains the mutual transfer
between dimensional change card sorting and first-order false
belief understanding: A computational modeling study on transfer of
skills. Biologically Inspired Cognitive
Architectures, 20, 10-20. https://doi.org/10.1016/j.bica.2017.03.001
Huijser,
S., Taatgen, N., & van Vugt,
M. (2017). Distracted in a Demanding Task: A
Classification Study with Artificial Neural Networks. In B.
Verheij, & M. Wiering (Eds.), Proceedings of BNAIC
2017 (pp. 199-212). University of Groningen. http://bnaic2017.ai.rug.nl/program.html
Arslan,
B., Taatgen, N. A., & Verbrugge, R.
(2017). Five-Year-Olds' Systematic Errors in Second-Order
False Belief Tasks Are Due to First-Order Theory of Mind Strategy
Selection: A Computational Modeling Study.
Frontiers in Psychology, 8, Article
275. https://doi.org/10.3389/fpsyg.2017.00275
Damsma,
A., de Jong, R., Taatgen, N., &
van Rijn, D. (2017). No Evidence For Improved
Attention Towards Implicit Temporal Regularities.
Poster session presented at 1st Conference of The Timing Research
Forum, Strasbourg, France.
Damsma,
A., de Jong, R., Taatgen, N., &
van Rijn, D. (2017). No Evidence For Improved
Attention Towards Implicit Temporal Regularities.
Poster session presented at Winter Conference Nederlandse
Vereniging voor Psychonomie 2017, Egmond aan Zee,
Netherlands.
2016
Liang,
P., Jia, X., Taatgen, N. A., Borst, J.
P., & Li, K. (2016). Activity in the
fronto-parietal network indicates numerical inductive reasoning
beyond calculation: An fMRI study combined with a cognitive
model. Scientific Reports, 6,
Article 25976. https://doi.org/10.1038/srep25976
van
Rijn, H., & Taatgen, N. A. (2016). An
integrative account of psychological time. In S. E. F.
Chipman (Ed.), The Oxford Handbook of Cognitive Science
(pp. 151-168). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199842193.013.18
Paul,
K., Cnossen, F., Taatgen, N.,
Lanzer, P., & Villringer, A. (2016). Brain Plasticity
Related to Psychomotor Skills in Catheter-based
Interventions. 1-1. Poster session presented at Donders
Discussion, Nijmegen, Netherlands.
Taatgen,
N. A., van Vugt, M. K., Borst, J.
P., & Mehlhorn, K. (2016). Cognitive
Modeling at ICCM: State of the Art and Future Directions.
Topics in Cognitive Science, 8(1),
259-263. https://doi.org/10.1111/tops.12185
Nijboer,
M., Borst, J., van Rijn, H., &
Taatgen, N. (2016). Contrasting single and
multi-component working-memory systems in dual tasking.
Cognitive psychology, 86, 1-26. https://doi.org/10.1016/j.cogpsych.2016.01.003
Buwalda,
T., Borst, J., van Vugt, M., &
Taatgen, N. (2016). Don't Blink! Evaluating Training
Paradigms for Overcoming the Attentional Blink. In A.
Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.),
Proceedings of the 38th Annual Meeting of the Cognitive Science
Society, CogSci 2016 (pp. 2189-2194). Article Code 182806
(Proceedings of the 38th Annual Meeting of the Cognitive Science
Society, CogSci 2016). The Cognitive Science Society.
Nijboer,
M., Borst, J. P., van Rijn, D.,
& Taatgen, N. A. (2016). Driving and Multitasking:
The Good, the Bad, and the Dangerous. Frontiers in
Psychology, 7, Article 1718. https://doi.org/10.3389/fpsyg.2016.01718
Buwalda,
T., Borst, J., van der Maas, H., & Taatgen,
N. (2016). Explaining mistakes in single digit
multiplication: A cognitive model. In D. Reitter, & F.
E. Ritter (Eds.), Proceedings of ICCM 2016 - 14th International
Conference on Cognitive Modeling (pp. 131-136). (Proceedings
of ICCM 2016 - 14th International Conference on Cognitive
Modeling). The Pennsylvania State University.
Huijser,
S., Taatgen, N., & van Vugt,
M. (2016). Following the wandering mind in the eyes:
Tracking distraction by the self in a complex working memory
task. In D. Reitter, & F. E. Ritter (Eds.),
Proceedings of ICCM 2016 - 14th International Conference on
Cognitive Modeling (pp. 258-260). (Proceedings of ICCM 2016 -
14th International Conference on Cognitive Modeling). The
Pennsylvania State University.
Stevens,
C. A., Taatgen, N. A., & Cnossen, F.
(2016). Instance-Based Models of Metacognition in the
Prisoner's Dilemma. Topics in Cognitive
Science, 8(1), 322-334. https://doi.org/10.1111/tops.12181
Katidioti,
I., Borst, J. P., Bierens de Haan, D. J., Pepping,
T., van Vugt, M. K., & Taatgen, N. A.
(2016). Interrupted by Your Pupil: An Interruption Management
System Based on Pupil Dilation. International
Journal of Human-Computer Interaction, 32(10),
791-801. https://doi.org/10.1080/10447318.2016.1198525
Katidioti,
I., Borst, J. P., Van Vugt, M. K.,
& Taatgen, N. A. (2016). Interrupt me: External
interruptions are less disruptive than self-interruptions.
Computers in Human Behavior, 63,
906-915. https://doi.org/10.1016/j.chb.2016.06.037
van
Vugt, M. K., Beulen, M. A., & Taatgen, N.
A. (2016). Is There Neural Evidence for an Evidence
Accumulation Process in Memory Decisions?
Frontiers in Human Neuroscience, 10,
Article 93. https://doi.org/10.3389/fnhum.2016.00093
Daamen,
J., van Vugt, M., & Taatgen, N.
(2016). Measuring and modeling distraction by
self-referential processing in a complex working memory span
task. In A. Papafragou, D. Grodner, D. Mirman, & J. C.
Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the
Cognitive Science Society, CogSci 2016 (pp. 2147-2152).
Article Code 182806 (Proceedings of the 38th Annual Meeting of the
Cognitive Science Society, CogSci 2016). The Cognitive Science
Society.
Stevens,
C., de Weerd, H., Cnossen, F.,
& Taatgen, N. (2016). Metacognitive Agent for
Training Negotiation Skills. In D. Reitter, & F. Ritter
(Eds.), Proceedings of ICCM 2016 (pp. 27). Penn State
University Press.
Petukhova,
V., Stevens, C., de Weerd, H., Taatgen,
N., Cnossen, F., & Malchanau, A. (2016).
Modelling multi-issue bargaining dialogues: Data collection,
annotation design and corpus. In N. Calzolari, K. Choukri,
T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H.
Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.),
Proceedings of the Tenth International Conference on Language
Resources and Evaluation (pp. 3133). European Language
Resources Association (ELRA).
van
Helvert, J., Petukhova, V., Stevens, C., de Weerd, H.,
Börner, D., van Rosmalen, P., Alexandersson, J., &
Taatgen, N. (2016). Observing, coaching and
reflecting: Metalogue - A multi-modal tutoring system with
metacognitive abilities. EAI Endorsed Transactions
on Future Intelligent Educational Environments,
2016(6), Article e6. https://doi.org/10.4108/eai.27-6-2016.151525
Rijn,
van, H., Borst, J., Taatgen, N.,
& van Maanen, L. (2016). On the necessity of integrating
multiple levels of abstraction in a single computational
framework. Current Opinion in Behavioral
Sciences, 11, 116-120. https://doi.org/10.1016/j.cobeha.2016.07.007
Taatgen,
N. A. (2016). Theoretical Models of Training and
Transfer Effects. In T. Strobach, & J. Karbach (Eds.),
Cognitive Training: An Overview of Features and
Applications (1st ed., pp. 19-29). Springer. https://doi.org/10.1007/978-3-319-42662-4_3
Rupp,
S., & Taatgen, N. A. (2016). Transfer of
Cognitive Skills in Developmental Tasks. In A. Papafragou,
D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), 38th
Annual Meeting of the Cognitive Science Society (CogSci 2016):
Recognizing and Representing Events (pp. 2621-2626). The
Cognitive Science Society.
Taatgen,
N. A., & de Weerd, H. (2016). Using a
cognitive architecture in educational and recreational games: How
to incorporate a model in your App. In D. Reitter, & F.
Ritter (Eds.), Proceedings of the 14h International Conference
on Cognitive Modeling (ICCM 2016) (pp. 119-124). Penn State
University Press.
Doesburg,
I., & Taatgen, N. (2016). Using a smartphone
game to promote transfer of skills in a real world
environment. In A. Papafragou, D. Grodner, D. Mirman, &
J. C. Trueswell (Eds.), 38th Annual Meeting of the Cognitive
Science Society (CogSci 2016): Recognizing and Representing
Events (pp. 650-655). The Cognitive Science Society.
2015
Taatgen,
N., Katidioti, I., Borst, J., & van
Vugt, M. (2015). A Model of Distraction using new
Architectural Mechanisms to Manage Multiple Goals. In N.
Taatgen, M. van Vugt, J. Borst, & K. Mehlhorn (Eds.),
Proceedings of the 13th International Conference on Cognitive
Modeling (pp. 264-269). University of Groningen. http://www.iccm2015.org/proceedings
Nyamsuren,
E., van der Maas, H., & Taatgen, N. (2015).
How does prevalence shape errors in complex tasks? In
Proceedings of the International Conference on Cognitive
Modeling (ICCM) 2015 (pp. 160-165)
Stevens,
C., Taatgen, N., & Cnossen, F.
(2015). Metacognition in the Prisoner's Dilemma. In
proceedings of the 13th Annual International Conference on
Cognitive Modeling (pp. 112)
van
Vugt, M., Taatgen, N., Sackur, J., &
Bastian, M. (2015). Modeling mind-wandering: a tool to better
understand distraction. In N. Taatgen, M. van Vugt, J.
Borst, & K. Mehlhorn (Eds.), Proceedings of the 13th
International Conference on Cognitive Modeling. (pp. 252).
University of Groningen. http://www.iccm2015.org/proceedings
Buwalda,
T., Borst, J., Van Vugt, M., &
Taatgen, N. (2015). Reducing the attentional blink by
training: Testing model predictions using EEG. In N. A.
Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.),
Proceedings of ICCM 2015 - 13th International Conference on
Cognitive Modeling (pp. 84-85). (Proceedings of ICCM 2015 -
13th International Conference on Cognitive Modeling). University of
Groningen.
Arslan,
B., Verbrugge, R., Taatgen, N.,
& Hollebrandse, B. (2015). Teaching children to
attribute second-order false beliefs: A training study with
feedback. In Proceedings of the 37th Annual Meeting of
the Cognitive Science Society (pp. 108-113)
Nijboer,
M., Borst, J. P., Van Rijn, H.,
& Taatgen, N. A. (2015). The influence of
cognitive strategies on performance in working memory tasks.
In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn
(Eds.), Proceedings of ICCM 2015 - 13th International
Conference on Cognitive Modeling (pp. 200-201). (Proceedings
of ICCM 2015 - 13th International Conference on Cognitive
Modeling). University of Groningen.
Arslan,
B., Wierda, S., Taatgen, N., & Verbrugge,
R. (2015). The role of simple and complex working
memory strategies in the development of first-order false belief
reasoning: A computational model of transfer of skills. In
Proceedings of the 13th International Conference on Cognitive
Modeling
Borst,
J. P., Nijboer, M., Taatgen, N. A., van
Rijn, H., & Anderson, J. R. (2015). Using
data-driven model-brain mappings to constrain formal models of
cognition. PLoS ONE, 10(3),
Article e0119673. https://doi.org/10.1371/journal.pone.0119673
Borst,
J., Taatgen, N., & van Rijn,
H. (2015). What Makes Interruptions Disruptive? A
Process-Model Account of the Effects of the Problem State
Bottleneck on Task Interruption and Resumption. In CHI
'15 Proceedings of the 33rd Annual ACM Conference on Human Factors
in Computing Systems (pp. 2971-2980). ACM Press. https://doi.org/10.1145/2702123.2702156
2014
Willems,
C., Damsma, A., Wierda, S., Taatgen, N., &
Martens, S. (2015). Training-induced Changes in the
Dynamics of Attention as Reflected in Pupil Dilation.
Journal of Cognitive Neuroscience,
27(6), 1161-1171. https://doi.org/10.1162/jocn_a_00767
Taatgen,
N. (2014). Between architecture and model: Strategies
for cognitive control. Biologically Inspired
Cognitive Architectures, 8, 132-139. https://doi.org/10.1016/j.bica.2014.03.010
Liang,
P., Jia, X., Taatgen, N. A., Zhong, N., & Li, K.
(2014). Different strategies in solving series completion
inductive reasoning problems: An fMRI and computational
study. International Journal of
Psychophysiology, 93(2), 253-260. https://doi.org/10.1016/j.ijpsycho.2014.05.006
Nyamsuren,
E., & Taatgen, N. (2014). Human Reasoning
Module. Biologically Inspired Cognitive
Architectures, 8, 1-18. https://doi.org/10.1016/j.bica.2014.02.002
Alexandersson,
J., Aretoulaki, M., Campbell, N., Gardner, M., Girenko, A., Klakow,
D., Koryzis, D., Petukhova, V., Specht, M., Spiliotopoulos, D.,
Stricker, A., & Taatgen, N. (2014).
Metalogue: A Multiperspective Multimodal Dialogue System with
Metacognitive Abilities for Highly Adaptive and Flexible Dialogue
Management. In 2014 International Conference on
Intelligent Environments (IE) (pp. 365). IEEE (The Institute
of Electrical and Electronics Engineers).
Meijering,
B., Taatgen, N., van Rijn, H.,
& Verbrugge, R. (2014). Modeling inference of
mental states: As simple as possbile, as complex as
necessary. Interaction Studies,
15(3), 455. https://doi.org/10.1075/is.15.3.05mei
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