Einträge mit Organisationseinheit "03 Fachbereich Humanwissenschaften > Institut für Psychologie > Modelle höherer Kognition"
- TU Darmstadt (107071)
- 03 Fachbereich Humanwissenschaften (2081)
- Institut für Psychologie (720)
- Modelle höherer Kognition (42)
- Institut für Psychologie (720)
- 03 Fachbereich Humanwissenschaften (2081)
Deutsch
Ibs, Inga ; Ott, Claire ; Jäkel, Frank ; Rothkopf, Constantin A. (2024)
From human explanations to explainable AI: Insights from constrained optimization.
In: Cognitive Systems Research, 88
doi: 10.1016/j.cogsys.2024.101297
Artikel, Bibliographie
Jäkel, F. ; Meyer, U. (2013)
Kategorisierung und Begriffe.
In: Handbuch Kognitionswissenschaft / hrsg. von A. Stephan ; S. Walter
Buchkapitel, Bibliographie
Englisch
Behrens, Thea (2024)
Improving research methods for problem solving: The example of Sudoku.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00027306
Dissertation, Erstveröffentlichung, Verlagsversion
Salikutluk, Vildan ; Schöpper, Janik ; Herbert, Franziska ; Scheuermann, Katrin ; Frodl, Eric ; Balfanz, Dirk ; Jäkel, Frank ; Koert, Dorothea (2024)
An Evaluation of Situational Autonomy for Human-AI Collaboration in a Shared Workspace Setting.
2024 CHI Conference on Human Factors in Computing Systems. Honolulu, USA (11.05.-16.05.2024)
doi: 10.1145/3613904.3642564
Konferenzveröffentlichung, Bibliographie
Depeweg, Stefan ; Rothkopf, Contantin A. ; Jäkel, Frank (2024)
Solving Bongard Problems With a Visual Language and Pragmatic Constraints.
In: Cognitive Science, 48 (5)
doi: 10.1111/cogs.13432
Artikel, Bibliographie
Stüttgen, Maik C. ; Dietl, Andrea ; Stoilova Eckert, Vanya V. ; de la Cuesta-Ferrer, Luis ; Blanke, Jan-Hendrik ; Koß, Christina ; Jäkel, Frank (2024)
Influence of reinforcement and its omission on trial-by-trial changes of response bias in perceptual decision making.
In: Journal of the Experimental Analysis of Behavior
doi: 10.1002/jeab.908
Artikel, Bibliographie
Behrens, Thea ; Kühn, Adrian ; Jäkel, Frank (2024)
Connecting process models to response times through Bayesian hierarchical regression analysis.
In: Behavior Research Methods
doi: 10.3758/s13428-024-02400-9
Artikel, Bibliographie
Koß, C. ; de la Cuesta Ferrer, L. ; Stüttgen, M. C. ; Jäkel, F. (2024)
Reconciling Signal-Detection Models of Criterion Learning with the Generalized Matching Law.
In: Computational Brain & Behavior
doi: 10.1007/s42113-024-00212-w
Artikel, Bibliographie
Ott, Claire ; Jäkel, Frank (2024)
SimplifEx: Simplifying and Explaining Linear Programs.
In: Cognitive Systems Research, 88
doi: 10.1016/j.cogsys.2024.101298
Artikel, Bibliographie
Salikutluk, V. ; Koert, D. ; Jäkel, F.
Hrsg.: Lukowicz, P. ; Mayer, S. ; Koch, J. ; Shawe-Taylor, J. ; Tiddi, I. (2023)
Interacting with Large Language Models: A Case Study on AI-Aided Brainstorming for Guesstimation Problems.
International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023). München (26.06.2023-30.06.2023)
doi: 10.3233/FAIA230081
Konferenzveröffentlichung, Bibliographie
Trick, S. ; Rothkopf, C. A. ; Jäkel, F. (2023)
Parameter estimation for a bivariate beta distribution with arbitrary beta marginals and positive correlation.
In: Metron, 81 (1)
doi: 10.1007/s40300-023-00247-2
Artikel, Bibliographie
Trick, Susanne ; Rothkopf, Constantin A. ; Jäkel, Frank (2023)
A Normative Model for Bayesian Combination of Subjective Probability Estimates.
In: Judgment and Decision Making, 2023 (18)
doi: 10.1017/jdm.2023.39
Artikel, Bibliographie
Behrens, Thea ; Räuker, Max ; Kalbfleisch, Michelle ; Jäkel, Frank (2022)
Flexible use of tactics in Sudoku.
In: Thinking & Reasoning, (Early Access)
doi: 10.1080/13546783.2022.2091040
Artikel, Bibliographie
Stoilova, V. V. ; Knauer, B. ; Berg, S. ; Rieber, E. ; Jäkel, F. ; Stüttgen, M. C. (2020)
Auditory cortex reflects goal-directed movement but is not necessary for behavioral adaptation in sound-cued reward tracking.
In: Journal of Neurophysiology
doi: 10.1152/jn.00736.2019
Artikel, Bibliographie
Zednik, C. ; Jäkel, F. (2019)
Descending Marr’s levels: Standard observers are no panacea.
In: Behavioral and Brain Sciences, 41
Artikel, Bibliographie
Hummel, P. A. ; Jäkel, F. ; Lange, S. ; Mertelsmann, R.
Hrsg.: Cox, M. ; Funk, P. ; Begum, S. (2018)
A Textual Recommender System for Clinical Data.
International Conference on Case-Based Reasoning 2018.
Konferenzveröffentlichung, Bibliographie
Jäkel, F. ; Worm, Oliver ; Lange, Sascha ; Mertelsmann, Roland (2018)
A stochastic model of myeloid cell lineages in hematopoiesis and pathway mutations in acute myeloid leukemia.
In: PloS one, 13 (10)
doi: 10.1371/journal.pone.0204393
Artikel, Bibliographie
Wichmann, F. A. ; Jäkel, F. (2018)
Methods in Psychophysics.
In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience / ed. by J.T. Wixted ; E.J. Wagenmakers
Buchkapitel, Bibliographie
Jäkel, F. ; Singh, M. ; Wichmann, F. A. ; Herzog, M. H. (2016)
An overview of quantitative approaches in Gestalt perception.
In: Vision Research, 126
doi: 10.1016/j.visres.2016.06.004
Artikel, Bibliographie
Jäkel, F. ; Liu, M. (2016)
On interactivity in probabilistic pragmatics: yet another rational analysis of scalar implicatures.
In: Zeitschrift für Sprachwissenschaft, 35 (1)
doi: 10.1515/zfs-2016-0005
Artikel, Bibliographie
Zednik, C. ; Jäkel, F. (2016)
Bayesian reverse-engineering considered as a research strategy for cognitive science.
In: Synthese
doi: 10.1007/s11229-016-1180-3
Artikel, Bibliographie
Gershman, S. J. ; Tenenbaum, J. ; Jäkel, F. (2016)
Discovering hierarchical motion structure.
In: Vision Research, 126
doi: 10.1016/j.visres.2015.03.004
Artikel, Bibliographie
Collaboration, Open Science (2015)
Estimating the reproducibility of psychological science.
In: Science, 349
doi: 10.1126/science.aac4716
Artikel, Bibliographie
Schumacher, J. ; Wunderle, T. ; Fries, P. ; Jäkel, F. ; Pipa, G. (2015)
A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems.
In: Neural Computation, 27
Artikel, Bibliographie
Zednik, C. ; Jäkel, F. (2014)
How does Bayesian reverse-engineering work?
Proceedings of the 36th Annual Conference of the Cognitive Science Society / ed. by P. Bello ; M. Guarini ; M. McShane ; B. Scasselati. Austin, TX
Konferenzveröffentlichung, Bibliographie
León-Villagrá, P. ; Jäkel, F.
Hrsg.: Knauff, M. ; Pauen, M. ; Sebanz, N. ; Wachsmuth, I. (2013)
Categorization and Abstract Similarity in Chess.
Annual Conference of the Cognitive Science Society 2013. Austin, TX
Konferenzveröffentlichung, Bibliographie
Jäkel, F. ; Schreiber, C. (2013)
Introspection in Problem Solving.
In: Journal of Problem Solving, 6 (1)
doi: 10.7771/1932-6246.1131
Artikel, Bibliographie
Gershman, S. J. ; Jäkel, F. ; Tenenbaum, J. B. (2013)
Bayesian Vector Analysis and the Perception of Hierarchical Motion.
Proceedings of the 35th Annual Conference of the Cognitive Science Society / ed. by M. Knauff ; M. Plauen ; N. Sebanz ; I. Wachsmuth. Austin, TX
Konferenzveröffentlichung, Bibliographie
Stüttgen, M. C. ; Kasties, N. ; Lengersdorf, D. ; Starosta, S. ; Güntürkün, O. ; Jäkel, F. (2013)
Suboptimal criterion setting in a perceptual choice task with asymmetric reinforcement.
In: Behavioral Processes, 96
doi: 10.1016/j.beproc.2013.02.014
Artikel, Bibliographie
Fleming, R. ; Jäkel, F. ; Maloney, L. T. (2011)
Visual Perception of Thick Transparent Materials.
In: Psychological Science, 22
doi: 10.1177/0956797611408734
Artikel, Bibliographie
Stüttgen, M. C. ; Schwarz, C. ; Jäkel, F. (2011)
Mapping spikes to sensations.
In: Frontiers in Neuroscience, 125 (5)
doi: 10.3389/fnins.2011.00125
Artikel, Bibliographie
Savova, V. ; Jäkel, F. ; Tenenbaum, J. B. (2009)
Grammar-based object representations in a scene parsing task.
Proceedings of the 31st Annual Meeting of the Cognitive Science Society / ed. by N. Taatge ; H. van Rijnn. Austin, TX
Konferenzveröffentlichung, Bibliographie
Jäkel, F. ; Schölkopf, B. ; Wichmann, F. A. (2009)
Does Cognitive Science Need Kernels.
In: Trends in Cognitive Sciences, 13
doi: 10.1016/j.tics.2009.06.002
Artikel, Bibliographie
Jäkel, F. ; Schölkopf, B. ; Wichmann, F. A. (2008)
Similarity, Kernels and the Triangle Inequality.
In: Journal of Mathematical Psychology, 52 (5)
doi: 10.1016/j.jmp.2008.03.001
Artikel, Bibliographie
Jäkel, F. ; Schölkopf, B. ; Wichmann, F. A. (2008)
Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning.
In: Psychonomic Bulletin & Review, 15 (2)
doi: 10.3758/PBR.15.2.256
Artikel, Bibliographie
Cooke, T. ; Jäkel, F. ; Wallraven, C. ; Bülthoff, H. (2007)
Multimodal Similarity and Categorization of Novel, Three-Dimensional Objects.
In: Neuropsychologia, 45
doi: 10.1016/j.neuropsychologia.2006.02.009
Artikel, Bibliographie
Jäkel, F. ; Schölkopf, B. ; Wichmann, F. A. (2007)
A Tutorial on Kernel Methods for Categorization.
In: Journal of Mathematical Psychology, 51
doi: 10.1016/j.jmp.2007.06.002
Artikel, Bibliographie
Görür, D. ; Jäkel, F. ; Rasmussen, C. E. (2006)
A Choice Model with Infinitely Many Latent Features.
Proceedings of the 23rd International Conference on Machine Learning. Pittsburgh, PA
Konferenzveröffentlichung, Bibliographie
Jäkel, F. ; Wichmann, F. A. (2006)
Spatial four-alternative forced-choice method is the preferred psychophysical method for naïve observers.
In: Journal of Vision, 6 (11)
doi: 10.1167/6.11.13
Artikel, Bibliographie
Kuss, M. ; Jäkel, F. ; Wichmann, F. A. (2005)
Bayesian Inference for Psychometric Functions.
In: Journal of Vision, 5
doi: 10.1167/5.5.8
Artikel, Bibliographie
Jäkel, F. ; Ernst, M. O.
Hrsg.: Oakley, I. ; O'Modhrain, S. ; Newell, F. (2003)
Learning to Combine Arbitrary Signals from Vision and Touch.
Eurohaptics 2003 Conference Proceedings.
Konferenzveröffentlichung, Bibliographie
Storck, J. ; Jäkel, F. ; Deco, G. (2001)
Temporal clustering with spiking neurons and dynamic synapses: towards technological applications.
In: Neural Networks, 14 (3)
doi: 10.1016/S0893-6080(00)00101-5
Artikel, Bibliographie