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Sara Todorovikj
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On the Cognitive Adequacy of Non-monotonic Logics
S Todorovikj, G Kern-Isberner, M Ragni
19 th International Workshop on Non-Monotonic Reasoning, 194, 2021
12021
Deductive vs. inductive instructions: Evaluating the predictive powers of cognitive models for conditional reasoning
S Todorovikj, M Ragni
7th Workshop on Formal and Cognitive Reasoning, FCR 2021, 74-87, 2021
12021
Combining mental models and probabilities: A new computational cognitive approach for conditional reasoning
S Todorovikj, P Friemann, M Ragni
Proceedings of the 17th International Conference on Cognitive Modeling, 261-266, 2019
12019
A Cross-Domain Theory of Mental Models
S Todorovikj, P Friemann, M Ragni
Knowledge Management and Acquisition for Intelligent Systems: 16th Pacific …, 2019
12019
The power of nonmonotonic logics to predict the individual reasoned
M Ragni, F Wagner, S Todorovikj
Proceedings of the 18th International Conference on Cognitive Modeling, 208-213, 2019
12019
How good can an individual’s conclusion endorsement be predicted
S Todorovikj, M Ragni
Proceedings of the 19th International Conference on Cognitive Modeling, 0
1
Towards Bridging the Gap Between Conditional and Syllogistic Reasoning
S Todorovikj, D Brand, M Ragni
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
2023
Predicting Individual Discomfort in Autonomous Driving
S Todorovikj, F Kettner, D Brand, M Beggiato, M Ragni
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
2022
Preferred Mental Models in Syllogistic Reasoning
S Todorovikj, D Brand, M Ragni
Predicting Algorithmic Complexity for Individuals
S Todorovikj, D Brand, M Ragni
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