Publikationen
- Rettstatt, J., Brand, D., Ragni, M. (2024). Breaking Focus: The impact of disruptive distractions on academic task performance
- Schmitz, M., Rettstatt, J., Suren, M., Brand, D., Seemann, M., Ragni, M., Rey, G.-D., (2024). Feedback on study time and distraction-free learning environment
- Blickle, J., Todorovikj, S., Ragni, M., (2024). Evaluating the Predictive Power of Tasks and Items in IQ Tests
- Todorovikj, S., Brand, D., Ragni, M., (2024). Model Verification and Preferred Mental Models in Syllogistic Reasoning
- Brand, D., Todorovikj, S., Ragni, M., (2024). Necessity, Possibility and Likelihood in Syllogistic Reasoning
- Brand, D., Todorovikj, S., Ragni, M., (2024). Predicting Complex Problem Solving Performance in the Tailorshop Scenario
- Johnson-Laird, Philip, N., Ragni, M. (2024). Reasoning about possibilities: Modal logics, possible worlds, and mental models
- Liu, Y.-H., Nürnberger, A., Rettstatt, J., Ragni, M. (2024). Saccadic Eye Movements and Search Task Difficulty as Basis of Modelling User Knowledge in Information Seeking
- Dames, H., Ragni, M., & Schulte, N. (2023). On the Importance of Providing a ‘Don’t Know’ Response Option in Syllogistic Reasoning Tasks
- Todorovikj, S., Brand, D., & Ragni, M. (2023). Towards Bridging the Gap Between Conditional and Syllogistic Reasoning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45)
- Frenzel, T., Brand, D., & Ragni, M. (2023). Are Facial Expressions Predictors for the Sense of Agency in a Dot Control Task?. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45).
- Brand, D., & Ragni, M. (2023). Effect of Response Format on Syllogistic Reasoning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45)
- Heinrich, E. M., & Ragni, M. (2023). The Impact of Personality for Solving Complex Problems. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45)
- Dohn, N. B., Kafai, Y., Mørch, A., & Ragni, M. (2022). Survey: Artificial Intelligence, computational thinking and learning. KI-Künstliche Intelligenz, 36(1), 5-16
- López-Astorga, M., Ragni, M., & Johnson-Laird, P. N. (2022). The probability of conditionals: A review. Psychonomic Bulletin & Review, 29(1), 1-20
- Todorovikj, S., Kettner, F., Brand, D., Beggiato, M., & Ragni, M. (2022). Predicting Individual Discomfort in Autonomous Driving. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44)
- Brand, D., Dames, H., Puricelli, L., & Ragni, M. (2022). Rule-Based Categorization: Measuring the Cognitive Costs of Intentional Rule Updating. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44)
- Brand, D., Mittenbühler, M., & Ragni, M. (2022). Rule-Based Categorization: Extending Syllogisms to General Quantifiers. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44)
- Dames, H., Brand, D., & Ragni, M. (2022). Evidence for Multiple Mechanisms Underlying List-Method Directed Forgetting. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44)
- Dames, H., Kiesel, A., Pfeuffer, C. U., & Ragni, M. (2022). Intentional Forgetting of Habits? Combining List-Method Directed Forgetting and Item-Specific Stimulus-Response Priming. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44)
- Furbach, U., Schon, C., & Ragni, M. (2022). Modeling associative reasoning processes. arXiv e-prints, arXiv-2201
- Cramer, M., Hölldobler, S., & Ragni, M. (2021, November). Modeling human reasoning about conditionals. In 19 th International Workshop on Non-Monotonic Reasoning (p. 223)
- Ragni, M., Brand, D., & Riesterer, N. (2021). The predictive power of spatial relational reasoning models: A new evaluation approach. Frontiers in Psychology, 12, 626292
- Ragni, M. (2021). Cooperative Human Artificial Intelligence. Künstliche Intell., 35(2), 123-124
- López-Astorga, M., Ragni, M. & Johnson-Laird, P.N. (2021). The probability of conditionals: A review. Psychon Bull Rev
- Bischofberger, J., Ragni, M. (2021). An adaptive model for human syllogistic reasoning. Ann Math Artif Intell
- Ragni, M. (2021). Cooperative Human Artificial Intelligence. Künstl Intell
- Cramer, M., Hölldobler, S., & Ragni, M. (2021). When are Humans Reasoning with Modus Tollens? Proceedings of the Annual Meeting of the Cognitive Science Society, 43
- Brand, D., Riesterer, N. O, & Ragni, M. (2021). Unifying Models for Belief and Syllogistic Reasoning. Proceedings of the Annual Meeting of the Cognitive Science Society, 43
- Borukhson, D., Lorenz-Spreen, P., & Ragni, M. (2021). When Does an Individual Accept Misinformation? Proceedings of the Annual Meeting of the Cognitive Science Society, 43
- Berger L., Nebel B., Ragni M. (2020) A Heuristic Agent in Multi-Agent Path Finding Under Destination Uncertainty. In: Schmid U., Klügl F., Wolter D. (eds) KI 2020: Advances in Artificial Intelligence. KI 2020. Lecture Notes in Computer Science, vol 12325. Springer, Cham
- Ragni, M., Johnson-Laird, P.N. (2020). Explanation or Modeling: a Reply to Kellen and Klauer. Comput Brain Behav 3, 354–361
- Ragni, M., Johnson-Laird, P.N. (2020). Reasoning about epistemic possibilities. Acta Psychologica, 208, 103081
- Riesterer, N., Brand, D. and Ragni, M. (2020), Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance. Top Cogn Sci, 12: 960-974
- Julia Wertheim, Marco Ragni; The Neurocognitive Correlates of Human Reasoning: A Meta-analysis of Conditional and Syllogistic Inferences. J Cogn Neurosci 2020; 32 (6): 1061–1078
- Bischofberger, J., & Ragni, M. (2020). An Adaptive Model for Cognitive Reasoning. In Florida Artificial Intelligence Research Society Conference
- Ragni, M. (2020). Artificial Intelligence and High-Level Cognition. In A Guided Tour of Artificial Intelligence Research, 457-486. Springer Nature
- Riesterer, N., Brand, D. & Ragni, M. (2020). Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems. CoRR, abs/2003.05196
- Ragni, M. (2020). Kognition. In G. Görz, U. Schmid & T. Braun (Ed.), Handbuch der Künstlichen Intelligenz (pp. 227-278). Berlin, Boston: De Gruyter
- Turon, R., Friemann, P., Stewart, T.C. & Ragni, M. (2020). Re-Implementing a Dynamic Field Theory Model of Mental Maps using Python and Nengo. Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020. cognitivesciencesociety.org
- Bischofberger, J. & Ragni, M. (2020). Improving Cognitive Models for Syllogistic Reasoning. Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020. cognitivesciencesociety.org
- Riesterer, N., Brand, D. & Ragni, M. (2020). Do Models Capture Individuals? Evaluating Parameterized Models for Syllogistic Reasoning. Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020. cognitivesciencesociety.org
- Dames, H., Schiebel, C. & Ragni, M. The Role of Feedback and Post-Error Adaptations in Reasoning. Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020. cognitivesciencesociety.org
- Brand, D., Riesterer, N., Dames, H. & Ragni, M. (2020). Analyzing the Differences in Human Reasoning via Joint Nonnegative Matrix Factorization. Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020. cognitivesciencesociety.org
- Ragni, M., Kern-Isberner, G., Beierle, C., & Sauerwald, K. (2020). Cognitive logics–features, formalisms, and challenges. In ECAI 2020 (pp. 2931-2932). IOS Press
- Wertheim, J., Colzato, L.S., Nitsche, M.A. et al. (2020). Enhancing spatial reasoning by anodal transcranial direct current stimulation over the right posterior parietal cortex. Exp Brain Res 238, 181–192
- Mertesdorf, J., Saldanha, E. A. D., Hölldobler, S., & Ragni, M. (2020). A Computational Theory for the Model Construction, Inspection and Variation Phase in Human Spatial Reasoning. In Proceedings of ICCM 2019-17th International Conference on Cognitive Modeling (pp. 94-99)
- Riesterer, N., Brand, D., Dames, H., & Ragni, M. (2020). Modeling human syllogistic reasoning: The role of “no valid conclusion”. Topics in cognitive science, 12(1), 446-459
- Johnson-Laird, P. N., & Ragni, M. (2019). Possibilities as the foundation of reasoning. Cognition, 193, 103950
- Ragni, M. (2019). Thinking is Founded on Models of Possibilities. KI-Künstliche Intelligenz, 33(3), 301-305
- Furbach, U., Hölldobler, S., Ragni, M., Schon, C., & Stolzenburg, F. (2019). Cognitive Reasoning: A Personal View. KI-Künstliche Intelligenz, 33(3), 209-217
- Kern-Isberner, G., Ragni, M., & Sauerwald, K. (2019). Tutorial on Cognitive Logics
- Spiegel, L. P., Kern-Isberner, G., & Ragni, M. (2019, August). Rational Inference Patterns. In Pacific Rim International Conference on Artificial Intelligence (pp. 405-417). Springer, Cham
- Todorovikj, S., Friemann, P., & Ragni, M. (2019, August). A Cross-Domain Theory of Mental Models. In Pacific Rim Knowledge Acquisition Workshop (pp. 184-194). Springer, Cham
- Zink, M., Friemann, P., & Ragni, M. (2019, August). Predictive systems: The game rock-paper-scissors as an example. In Pacific Rim International Conference on Artificial Intelligence (pp. 514-526). Springer, Cham
- Breu, C., Ind, A., Mertesdorf, J., & Ragni, M. (2019, May). The weak completion semantics can model inferences of individual human reasoners. In European Conference on Logics in Artificial Intelligence (pp. 498-508). Springer, Cham
- Beierle, C., Kern-Isberner, G., Sauerwald, K., Bock, T., & Ragni, M. (2019). Towards a general framework for kinds of forgetting in common-sense belief management. KI-Künstliche Intelligenz, 33(1), 57-68
- Furbach, U., Hölldobler, S., Ragni, M., Rzepka, R., Schon, C., Vallverdú, J., & Wlodarczyk, A. (2019). Joint Proceedings of the Workshops on Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2019) and on Bridging the Gap Between Human and Automated Reasoning (BtG 2019) co-located with 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 12, 2019
- Beierle, C., Ragni, M., Stolzenburg, F., & Thimm, M. (Eds.) (2019). Proceedings of the 8th Workshop on Dynamics of Knowledge and Belief (DKB-2019) and the 7th Workshop KI Kognition (KIK-2019) co-located with 44nd German Conference on Artificial Intelligence (KI 2019), Kassel, Germany, September 23, 2019. CEUR-WS.org. CEUR Workshop Proceedings Vol. 2445
- Ragni, M., Dames, H., & Johnson-Laird, P. N. (2019). A meta-analysis of conditional reasoning. In Proceedings of the 17th International Conference on Cognitive Modeling (pp. 151-156)
- Todorovikj, S., Friemann, P., & Ragni, M. (2019). Combining Mental Models and Probabilities: A new Computational Cognitive Approach for Conditional Reasoning. In Proceedings of the 17nd International Conference on Cognitive Modeling (pp. 261-266). University of Waterloo
- Ragni, M., Friemann, P., Bakija, E., Habibie, N., Leinhos, Y., Pohnke, D., ... & Turon, R. (2019). Predicting individual spatial reasoners: A comparison of five cognitive computational theories. In Proceedings of the 17nd International Conference on Cognitive Modeling (pp. 157-162). University of Waterloo
- Brand, D., Riesterer, N., & Ragni, M. (2019). On the matter of aggregate models for syllogistic reasoning: A transitive set-based account for predicting the population. In Proceedings of the 17th International Conference on Cognitive Modeling (pp. 5-10)
- Friemann, P., Nejasmic, J., & Ragni, M. (2019). The Stream of Spatial Information: Spanning the Space of Spatial Relational Models. In CogSci (pp. 1780-1786)
- Ragni, M., Riesterer, N., & Khemlani, S. (2019). Predicting Individual Human Reasoning: The PRECORE-Challenge In CogSci (pp. 9-10).
- Ragni, M., Dames, H., Brand, D., & Riesterer, N. (2019). When does a reasoner respond: Nothing follows?. In CogSci (pp. 2640-2546)
- Wertheim, J., & Ragni, M. (2018). The neural correlates of relational reasoning: A meta-analysis of 47 functional magnetic resonance studies. Journal of cognitive neuroscience, 30(11), 1734-1748
- Kola, I., & Ragni, M. (2018, September). Predict the Individual Reasoner: A New Approach. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 401-414). Springer, Cham
- Beierle, C., Bock, T., Kern-Isberner, G., Ragni, M., & Sauerwald, K. (2018, September). Kinds and aspects of forgetting in common-sense knowledge and belief management. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 366-373). Springer, Cham
- Riesterer, N., Brand, D., & Ragni, M. (2018, September). The predictive power of heuristic portfolios in human syllogistic reasoning. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 415-421). Springer, Cham
- Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., ... & Beierle, C. (2018, September). Intentional forgetting in artificial intelligence systems: Perspectives and challenges. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 357-365). Springer, Cham
- Ragni, M., & Friemann, P. (2018, September). Cognitive computational models of reasoning about spatial information. In COGNITIVE PROCESSING (Vol. 19, pp. S30-S30). TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY: SPRINGER HEIDELBERG
- Hamburger, K., Ragni, M., Karimpur, H., Franzmeier, I., Wedell, F., & Knauff, M. (2018). TMS applied to V1 can facilitate reasoning. Experimental brain research, 236(8), 2277-2286
- Ragni, M., Kola, I., & Johnson-Laird, P. N. (2018). On selecting evidence to test hypotheses: A theory of selection tasks. Psychological Bulletin, 144(8), 779
- Eichhorn, C., Kern-Isberner, G., & Ragni, M. (2018, April). Rational inference patterns based on conditional logic. In Thirty-Second AAAI Conference on Artificial Intelligence
- Elflein, L., & Ragni, M. (2018). Models of Bayesian Rationality for Conditional Reasoning: What are they good for?. In Proceedings of the 16th International Conference on Cognitive Modeling (pp. 114-119). University of Wisconsin Press* Journal Division
- Wertheim, J., & Ragni, M. (2018). The neural correlates of relational reasoning: A meta-analysis of 47 functional magnetic resonance imaging studies. Journal of Cognitive Neuroscience, 30(11), 1-15
- Beierle, C., Kern-Isberner, G., Ragni, M., Stolzenburg, F., & Thimm, M. (Eds.) (2018). Proceedings of the 7th Workshop on Dynamics of Knowledge and Belief (DKB-2018) and the 6th Workshop KI Kognition (KIK-2018) co-located with 41st German Conference on Artificial Intelligence (KI 2018), Berlin, Germany, September 25, 2018. CEUR-WS.org. CEUR Workshop Proceedings Vol. 2194
- Riesterer, N., & Ragni, M. (2018). Implications of guessing types in multinomial processing tree models: Conditional reasoning as an example. In 16th International Conference on Cognitive Modeling (Madison, WI)
- Elflein, L., & Ragni, M. (2018). Putting the Probability Heuristics Model to the Test. In CogSci
- Ragni, M., Sauerwald, K., Bock, T., Kern-Isberner, G., Friemann, P., & Beierle, C. (2018). Towards a Formal Foundation of Cognitive Architectures. In CogSci
- Dames, H., von Hartz, J. O., Kantz, M., Riesterer, N., & Ragni, M. (2018). Multinomial Processing Models for Syllogistic Reasoning: A Comparison. In CogSci
- Friemann, P., & Ragni, M. (2018). Cognitive computational models of spatial relational reasoning: A review. In The 3rd Workshop on Models and Representations in Spatial Cognition (MRSC-3). Retrieved from dobnik. net/simon/events/mrsc-3
- Kuhnert, B., Lindner, F., Bentzen, M. M., & Ragni, M. (2018). Causal Structure of Moral Dilemmas Predicts Perceived Difficulty of Making a Decision. In 14th Biannual Conference of the German Society for Cognitive Science
- Ragni, M., & Johnson-Laird, P. (2018). Reasoning about possibilities: human reasoning violates all normal modal logics. In CogSci
- Ragni, M., Riesterer, N., Khemlani, S., & Johnson-Laird, P. (2018). Individuals become more logical without feedback. In CogSci
- Ragni, M., & Riesterer, N. (2017, November). The Search for Cognitive Models: Standards and Challenges. In Bridging@ CogSci (pp. 10-17)
- Kola, I., & Ragni, M. (2017, November). Predicting Responses of Individual Reasoners in Syllogistic Reasoning by using Collaborative Filtering. In Bridging@ CogSci (p. 1)
- Kuhnert, B., Ragni, M., & Lindner, F. (2017, August). The gap between human\'s attitude towards robots in general and human\'s expectation of an ideal everyday life robot. In 2017 26th IEEE international symposium on robot and human interactive communication (RO-MAN) (pp. 1102-1107). IEEE
- Ragni, M., Eichhorn, C., Bock, T., Kern-Isberner, G., & Tse, A. P. P. (2017). Formal nonmonotonic theories and properties of human defeasible reasoning. Minds and Machines, 27(1), 79-117
- Beierle, C., Kern-Isberner, G., Ragni, M., & Stolzenburg, F. (Eds.) (2017). Proceedings of the 6th Workshop on Dynamics of Knowledge and Belief (DKB-2017) and the 5th Workshop KI Kognition (KIK-2017) co-located with 40th German Conference on Artificial Intelligence (KI 2017), Dortmund, Germany, September 26, 2017. CEUR-WS.org. CEUR Workshop Proceedings Vol. 1928
- Furbach, U., Hölldobler, S., Ragni, M., & Schon, C. (2017). Workshop: Bridging the Gap: Is Logic and Automated Reasoning a Foundation for Human Reasoning?. In CogSci
- Ragni, M., & Tse, A. P. P. (2017). Cognitive Computational Models for Conditional Reasoning. In 15th International Conference on Cognitive Modeling (p. 109)
- Kießner, A. K., & Ragni, M. (2017). Processing Spatial Relations: A Meta-Analysis. In CogSci
- Ragni, M., Kola, I., & Johnson-Laird, P. (2017). The Wason Selection task: A Meta-Analysis. In CogSci
- Tse, A. P. P., & Ragni, M. (2017). Interpretation and Processing Time of Generalized Quantifiers: Why your Mental Space Matters. In CogSci
- Wertheim, J., & Ragni, M. (2017). The Neural Mechanisms of Relational Reasoning: Dissociating Representational Types. In CogSci
- Wächter, L., Kuhnert, B., & Ragni, M. (2017). Empathic Humans Punishing an Emotional Virtual Agent. In CogSci
- da Costa, A. O., Saldanha, E. A. D., Hölldobler, S., & Ragni, M. (2017). A Computational Logic Approach to Human Syllogistic Reasoning. In CogSci
- Kuhnert, B., Lindner, F., Bentzen, M. M., & Ragni, M. (2017). Perceived Difficulty of Moral Dilemmas Depends on Their Causal Structure: A Formal Model and Preliminary Results. In CogSci
- Ragni, M., Rudenko, A., Kuhnert, B., & Arras, K. O. (2016, August). Errare humanum est: Erroneous robots in human-robot interaction. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (pp. 501-506). IEEE
- Ragni, M., Sonntag, T., & Johnson-Laird, P. N. (2016). Spatial conditionals and illusory inferences. Journal of Cognitive Psychology, 28(3), 348-365
- Ragni, M., Franzmeier, I., Maier, S., & Knauff, M. (2016). Uncertain relational reasoning in the parietal cortex. Brain and cognition, 104, 72-81
- Ragni, M., Barkowsky, T., Nebel, B., & Freksa, C. (2016). Cognitive Space and Spatial Cognition: The SFB/TR 8 Spatial Cognition. KI-Künstliche Intelligenz, 30(1), 83-88
- Ragni, M., Dietz, E. A., Kola, I., & Hölldobler, S. (2016). Two-valued logic cannot explain conditional reasoning but three-valued logics can. In Bridging the Gap between Human and Automated Reasoning (pp. 61-73). Bridging@ IJCAI, CEUR
- Ragni, M., Franzmeier, I., Maier, S., & Knauff, M. (2016). Uncertain relational reasoning in the parietal cortex. Brain and Cognition, 104, 72-81
- da Costa, A. O., Dietz, E. A., Hölldobler, S., & Ragni, M. (2016, January). Syllogistic reasoning under the weak completion semantics. In Bridging@ IJCAI
- Ragni, M., Dietz, E. A., Kola, I., & Hölldobler, S. (2016, January). Two-valued logic is not sufficient to model human reasoning, but three-valued logic is: A formal analysis. In Bridging@ IJCAI
- Ragni, M., Eichhorn, C., & Kern-Isberner, G. (2016, January). Simulating Human Inferences in the Light of New Information: A Formal Analysis. In IJCAI (pp. 2604-2610)
- Ragni, M., & Becker-Asano, C. (2015). The Pleasure will be Always on Our Side. KI-Künstliche Intelligenz, 29(3), 299-302
- Ragni, M., & Stolzenburg, F. (2015). Special Issue on Higher-Level Cognition and Computation
- Ragni, M. (2015). To Make the World a Better Place. KI-Künstliche Intelligenz, 29(3), 303-306
- Ragni, M., & Stolzenburg, F. (2015). Higher-level cognition and computation: a survey. KI-Künstliche Intelligenz, 29(3), 247-253
- Schmid, U., & Ragni, M. (2015, July). Comparing computer models solving number series problems. In International Conference on Artificial General Intelligence (pp. 352-361). Springer, Cham
- Ragni, M., Sonntag, T., & Johnson-Laird, P. N. (2015). Reasoning about Consistency in Spatial Reasoning. In B. Bara (Ed.), Proceedings of the 4th Meeting of the Euro Asian Pacific Conference of Cognitive Science. Cognitive Science Society
- Ragni, M. (2015). To Make the World a Better Place: Interview with Bernhard Nebel, Professor for Foundations of Artificial Intelligence, University of Freiburg, Germany. KI - Künstliche Intelligenz, 29(3), 303-306
- Dietz, E. A., Hölldobler, S., & Ragni, M. (2015). A Syllogistic Reasoning Theory and Three Examples. In IWOST-2
- Beierle, C., Kern-Isberner, G., Ragni, M., & Stolzenburg, F. (2015). Proceedings of the KI 2015 Workshop on Formal and Cognitive Reasoning
- Ragni, M., Sonntag, T., & Johnson-Laird, P. (2015). Reasoning about Spatial Consistency. In EAPCogSci
- Ragni, M., Schwenke, S., & Otieno, C. (2015). Preferred Inferences in Causal Relational Reasoning: Counting Model Operations. In CogSci
- Frorath, M., Albrecht, R., & Ragni, M. (2015). Towards a unified reasoning theory: An evaluation of the Human Reasoning Module in Spatial Reasoning. In Proceedings of the 13th International Conference on Cognitive Modeling (pp. 180-185). University of Groningen
- Steffenhagen, F., Albrecht, R., & Ragni, M. (2014, September). Automatic Identification of Human Strategies by Cognitive Agents. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 62-67). Springer, Cham
- Albrecht, R., & Ragni, M. (2014, September). Spatial Planning: An act-r model for the Tower of London Task. In International Conference on Spatial Cognition (pp. 222-236). Springer, Cham
- Steinlein, E. M., & Ragni, M. (2014, September). Matching quantifiers or building models? Syllogistic reasoning with generalized quantifiers. In COGNITIVE PROCESSING (Vol. 15, No. 1, pp. S139-S142). TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY: SPRINGER HEIDELBERG
- Albrecht, R., Ragni, M., & Steffenhagen, F. (2014, September). Identifying inter-individual planning strategies. In COGNITIVE PROCESSING (Vol. 15, No. 1, pp. S28-S29). TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY: SPRINGER HEIDELBERG
- Ragni, M., & Strube, G. (2014). Cognitive complexity and analogies in transfer learning. KI-Künstliche Intelligenz, 28(1), 39-43
- Franzmeier, I., Ferstl, E., Maier, S., & Ragni, M. (2014). The role of the posterior parietal cortex in deductive reasoning — a TMS study. Abstract from Conference of the Organisation of Human Brain Mapping, Hamburg, Germany
- Maier, S., Fangmeier, T., & Ragni, M. (2014). Processing of indeterminacy in reasoning with cardinal directions. Abstract from Conference of the Organisation of Human Brain Mapping, Hamburg, Germany
- Ragni, M., Sonntag, T., & Johnson-Laird, P. N. (2014). Reasoning about relations and conditionals: A model theoretic approach. Journal of Experimental Psychology: Learning, Memory, and Cognition
- Ragni, M., & Stolzenburg, F. (Eds.) (2014). Proceedings of the KI 2014 Workshop on Higher-Level Cognition and Computation. SFB/TR 8 Report No. 037-09/2014
- Maier, S., Fangmeier, T., & Ragni, M. (2014). Processing of indeterminacy in reasoning with cardinal directions. Abstract from Conference of the Organisation of Human Brain Mapping, Hamburg, Germany
- Ragni, M., & Stolzenburg, F. (2014). Higher-Level Cognition and Computation
- Kuhnmünch, G., & Ragni, M. (2014). Can Formal Non-monotonic Systems Properly Describe Human Reasoning?. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 36, No. 36)
- Lohmeyer, M., & Ragni, M. (2014). Mental Logic in Spatial Relational Reasoning: Challenges from Cognitive Modeling. Spatial Cognition 2014: Poster Presentations, 78
- Rizzardi, E., Bennati, S., & Ragni, M. (2014). How to build an inexpensive cognitive robot: Mind-R. Cognitive Processing, 15(1), 131-134
- Ragni, M., Franzmeier, I., Wenczel, F., & Maier, S. (2014). The role of the posterior parietal cortex in relational reasoning. Cognitive Processing, 15
- Ragni, M., Singmann, H., & Steinlein, E. M. (2014). Theory comparison for generalized quantifiers. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 36, No. 36)
- Bennati, S., Brussow, S., Ragni, M., & Konieczny, L. (2014). Gestalt effects in planning: rush-hour as an example. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 36, No. 36)
- Ragni, M., & Neubert, S. (2014). Analyzing Raven’s Intelligence Test: Cognitive model, demand, and complexity. In Computational Approaches to Analogical Reasoning: Current Trends (pp. 351-370). Springer, Berlin, Heidelberg
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- Becker-Asano, C., Stahl, P., Ragni, M., Courgeon, M., Martin, J. C., & Nebel, B. (2013, August). An affective virtual agent providing embodied feedback in the paired associate task: system design and evaluation. In International Workshop on Intelligent Virtual Agents (pp. 406-415). Springer, Berlin, Heidelberg
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- Albrecht, R., & Ragni, M. (2012). The Contextual Planning Effect: Memory Processing in Visuospatial Problem Solving. Proceedings of KogWis 2012, 61
- Ragni, M. (2012). Die Kognitive Architektur ACT-R. Proceedings of KogWis 2012, 57
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- Kottlors, J., Brand, D., & Ragni, M. (2012). Modeling behavior of attention-deficit-disorder patients in a N-back task. In Proceedings of 11th international conference on cognitive modeling (ICCM 2012) (pp. 297-302)
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- Ragni, M., & Klein, A. (2011, October). Predicting numbers: an AI approach to solving number series. In Annual Conference on Artificial Intelligence (pp. 255-259). Springer, Berlin, Heidelberg
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- Albrecht, R., Brussow, S., Kaller, C., & Ragni, M. (2011). Using a cognitive model for an in-depth analysis of the tower of london. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 33, No. 33)
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- Ragni, M., & Knauff, M. (2011). Cross-cultural preferences in spatial reasoning. Journal of Cognition and Culture, 11(1-2), 1-21
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- Steffenhagen, F., Nebel, B., & Ragni, M. (2008). Räumliches Schließen über n-stelligen Relationen: Kognitive Modellierung und formale Aspekte
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- Ragni, M., Fangmeier, T., Webber, L., & Knauff, M. (2007). Preferred mental models: How and why they are so important in human spatial reasoning. Spatial Cognition V, Berlin
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- Ragni, M. (2006, June). Reasoning in Dynamic Environments: Temporalized Intervals. In Workshop at KI 2006 (p. 15)
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- Boeddinghaus, J., Ragni, M., Knauff, M., & Nebel, B. (2006). Simulating spatial reasoning using ACT-R. In Proceedings of the seventh international conference on cognitive modeling (pp. 62-67). Lawrence Erlbaum
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- Ragni, M. (2003, September). An arrangement calculus, its complexity and algorithmic properties. In Annual Conference on Artificial Intelligence (pp. 580-590). Springer, Berlin, Heidelberg.
