Professorship Predictive Analytics
Prädiktive Verhaltensanalyse
Professorship Predictive Analytics 

Publications

  • 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.
  • Ragni, M., Khemlani, S., & Johnson-Laird, P. N. (2014). The evaluation of the consistency of quantified assertions. Memory & cognition, 42(1), 53-66.
  • Strube, G., Ferstl, E., Konieczny, L., & Ragni, M. (2013). 2 Kognition (pp. 21-74). Oldenbourg Wissenschaftsverlag.
  • Brüssow, S., Ragni, M., Frorath, M., Konieczny, L., & Fangmeier, T. (2013). Premise annotation in mental model construction: an ACT-R approach to processing indeterminacy in spatial relational reasoning. Cognitive Systems Research, 24, 52-61.
  • 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.
  • Ragni, M., & Knauff, M. (2013). A theory and a computational model of spatial reasoning with preferred mental models. Psychological review, 120(3), 561.
  • Ragni, M., Raschke, M., & Stolzenburg, F. (Eds.) (2013). Proceedings of the KI 2013 Workshop on Visual and Spatial Cognition. SFB/TR 8 Report No. 034-08/2013.
  • Strube, G., Ferstl, E., Konieczny, L., & Ragni, M. (2013). Kognition. In G. Goerz, J. Schneeberger, & U. Schmid (Eds.), Handbuch der Künstlichen Intelligenz (pp. 21-74). De Gruyter.
  • Ragni, M., Raschke, M., & Stolzenburg, F. (2013). on Visual and Spatial Cognition.
  • Ragni, M. (2013). The Psychology of Human Spatial Relational Reasoning.
  • Bennati, S., & Ragni, M. (2013). Modelling Spatial Relations' Influence on Planning.
  • Dietz, E. A., Hölldobler, S., & Ragni, M. (2013). A computational logic approach to the abstract and the social case of the selection task. In Proceedings Eleventh International Symposium on Logical Formalizations of Commonsense Reasoning.
  • Embgen, S., Luber, M., Becker-Asano, C., Ragni, M., Evers, V., & Arras, K. O. (2012, September). Robot-specific social cues in emotional body language. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 1019-1025). IEEE.
  • Tenbrink, T., & Ragni, M. (2012, August). Linguistic principles for spatial relational reasoning. In International Conference on Spatial Cognition (pp. 279-298). Springer, Berlin, Heidelberg.
  • Sonntag, T., Kuhnmuench, G., Ragni, M., Ferstl, E., & Hoelscher, C. (2012, August). Gender effects in map-comprehension and self-localization. In COGNITIVE PROCESSING (Vol. 13, pp. S71-S71). TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY: SPRINGER HEIDELBERG.
  • Ragni, M., & Sonntag, T. (2012). Preferences and illusions in quantified spatial relational reasoning. Cognitive processing, 13(1), 289-292.
  • Barkowsky, T., Ragni, M., & Stolzenburg, F. (Eds.) (2012). Human Reasoning and Automated Deduction - KI 2012 Workshop Proceedings. SFB/TR 8 Report No. 032-09/2012.
  • Ragni, M., & Klein, A. (2012). Deductive Reasoning - Using Artificial Neural Networks to Simulate Preferential Reasoning. In A. C. Rosa, A. D. Correia, K. Madani, J. Filipe, & J. Kacprzyk (Eds.), Proceedings of the 4th International Joint Conference on Computational Intelligence (Vol. 1, pp. 635-638). SCITEPRESS Digital Library.
  • Barkowsky, T., Ragni, M., & Stolzenburg, F. (2012). Human Reasoning and Automated Deduction.
  • Ragni, M., & Neubert, S. (2012). Solving Raven's IQ-tests: an AI and cognitive modeling approach. In ECAI 2012 (pp. 666-671). IOS Press.
  • 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.
  • Dietz, E. A., Hölldobler, S., & Ragni, M. (2012). A simple model for the Wason selection task. Human Reasoning and Automated Deduction.
  • Ragni, M., & Wiener, J. (2012). Constraints, Inferences, and the Shortest Path: Which paths do we prefer?. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 34, No. 34).
  • Haring, K. S., Ragni, M., Konieczny, L., & Watanbe, K. (2012). The use of ACT-R to develop an attention model for simple driving tasks. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 34, No. 34).
  • Dietz, E. A., Holldobler, S., & Ragni, M. (2012). A computational logic approach to the suppression task. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 34, No. 34).
  • Haring, K. S., Ragni, M., & Konieczny, L. (2012). A cognitive model of drivers attention. Nele Rußwinkel| Uwe Drewitz| Hedderik van Rijn (eds.), 275.
  • Brüssow, S., Frorath, M., Ragni, M., & Fangmeier, T. (2012). An ACT-R Approach to Reasoning about Spatial Relations with Preferred and Alternative Mental Models. Nele Rußwinkel| Uwe Drewitz| Hedderik van Rijn (eds.), 19.
  • 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).
  • Bennati, S., & Ragni, M. (2012). Cognitive Robotics: Analysis of Preconditions and Implementation of a Cognitive Robotic System for Navigation Tasks. Nele Rußwinkel| Uwe Drewitz| Hedderik van Rijn (eds.), 157.
  • 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.
  • Ragni, M., Steffenhagen, F., & Klein, A. (2011). Generalized dynamic stock and flow systems: An AI approach. Cognitive Systems Research, 12(3-4), 309-320.
  • Schmid, U., Ragni, M., Gonzalez, C., & Funke, J. (2011). The challenge of complexity for cognitive systems. Cognitive Systems Research, 3(12), 211-218.
  • Ragni, M., & Brüssow, S. (2011, August). Human spatial relational reasoning: Processing demands, representations, and cognitive model. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 25, No. 1).
  • Schmid, U., Ragni, M., Gonzalez, C., & Funke, J. (2011). The challenge of complex cognition. Cognitive systems research. 12, 3-4: Special Issue on Complex Cognition, S. 211 - 218
  • Ragni, M., & Klein, A. (2011). Solving number series-architectural properties of successful artificial neural networks. In Proceedings of the International Conference on Neural Computation Theory and Applications (pp. 224-229). SCITEPRESS Digital Library.
  • Ragni, M., & Sonntag, T. (2011). Conditional Relational Reasoning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 33, No. 33).
  • Ragni, M., Steffenhagen, F., & Fangmeier, T. (2011). A Structural Complexity Measure for Predicting Human Planning Performance. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 33, No. 33).
  • 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).
  • Ragni, M., Stahl, P., & Fangmeier, T. (2011). Cognitive complexity in matrix reasoning tasks. European Perspectives on Cognitive Science. New Bulgarian University Press, Sofia.
  • Ragni, M., & Knauff, M. (2011). Cross-cultural preferences in spatial reasoning. Journal of Cognition and Culture, 11(1-2), 1-21.
  • Ragni, M., Fangmeier, T., Brüssow, S., Salvucci, D. D., & Gunzelmann, G. (2010, August). Deductive spatial reasoning: From neurological evidence to a cognitive model. In Proceedings of the 10th international conference on cognitive modeling (pp. 193-198). Philadelphia, PA: Drexel University.
  • Nebel, B., Wölfl, S., Ragni, M., Sub-Algebra, A. M. T., & CSPs, S. A. A. (2010). Principles of Knowledge Representation and Reasoning.
  • Ragni, M., & Löffler, C. M. (2010). Complex problem solving: another test case?. Cognitive processing, 11(2), 159-170.
  • Stahl, P., & Ragni, M. (2010). Complexity in analogy tasks: an analysis and computational model. In ECAI 2010 (pp. 1041-1042). IOS Press.
  • Ragni, M., & Becker, B. (2010). Preferences in cardinal direction. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 32, No. 32).
  • Schmid, U., Ragni, M., & Knauff, M. (2009). Complex Cognition.
  • Steffenhagen, F., Ragni, M., Chichkov, I., & Klein, A. (2009). Predicting Changes: A Cognitive Model for Dynamic Stocks and Flows. Complex Cognition, 49.
  • Bittner, A., Fangmeier, T., Konieczny, L., & Ragni, M. (2009). Incremental Model Construction: Eye-movements reflect mental representations and operations–even if there is nothing to look at. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 31, No. 31).
  • Ragni, M., Wiener, J. M., Hölscher, C., Brösamle, M., Büchner, S. J., Kalff, C., ... & Strube, G. (2009). Human Spatial Cognition: Cognitive Science Joins AI and Robotics. Künstliche Intell., 23(2), 46-49.
  • Ragni, M., & Kuhnmünch, G. (2009). A Cognitive Perspective on QSR: Navigation as an Example. In AAAI spring symposium: Benchmarking of qualitative spatial and temporal reasoning systems (pp. 23-28).
  • Ragni, M., Wiener, J. M., Hölscher, C., Brösamle, M., Büchner, S. J., Kalff, C., ... & Strube, G. (2009). Human Spatial Cognition: Cognitive Science Joins AI and Robotics. Künstliche Intell., 23(2), 46-49.
  • Ragni, M., & Kuhnmünch, G. (2009). A Cognitive Perspective on QSR: Navigation as an Example. In AAAI spring symposium: Benchmarking of qualitative spatial and temporal reasoning systems (pp. 23-28).
  • Ragni, M., Fangmeier, T., Bittner, A., & Konieczny, L. (2009). Incremental Model Construction: Eye-movements reflect mental representations and operations–even if there is nothing to look at. In Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 3046-3051). Cognitive Science Society.
  • Reasoning III, N., Logics, C., Nebel, B., Wölfl, S., & Ragni, M. (2010). Principles of Knowledge Representation and Reasoning.
  • Steffenhagen, F., Nebel, B., & Ragni, M. (2008). Räumliches Schließen über n-stelligen Relationen: Kognitive Modellierung und formale Aspekte.
  • Moratz, R., & Ragni, M. (2008). Qualitative spatial reasoning about relative point position. Journal of Visual Languages & Computing, 19(1), 75-98.
  • Ragni, M. (2008). Räumliche Repräsentation, Komplexität und Deduktion: Eine kognitive Komplexitätstheorie. Akademische Verlagsgesellschaft.
  • Ragni, M. (2008). Human logic in spatial reasoning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 30, No. 30).
  • Ragni, M., & Wölfl, S. (2008). Reasoning about Topological and Positional Information in Dynamic Settings. In FLAIRS Conference (pp. 606-611).
  • Ragni, M., & Knauff, M. (2008). Deductive Spatial Reasoning: A Computational and a Cognitive Perspective. Künstliche Intell., 22(1), 13-17.
  • Schleipen, S., Nebel, B., & Ragni, M. (2007). Räumliches Schließen mit Negation.
  • Ragni, M., Tseden, B., & Knauff, M. (2007, September). Cross-cultural similarities in topological reasoning. In International Conference on Spatial Information Theory (pp. 32-46). Springer, Berlin, Heidelberg.
  • Schleipen, S., Ragni, M., & Fangmeier, T. (2007, September). Negation in spatial reasoning. In Annual Conference on Artificial Intelligence (pp. 175-189). Springer, Berlin, Heidelberg.
  • Ragni, M., Fangmeier, T., & Schleipen, S. (2007). What About Negation in Spatial Reasoning?. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 29, No. 29).
  • Ragni, M., Schleipen, S., & Steffenhagen, F. (2007). Solving proportional analogies: A computational model. Analogies: Integrating Multiple Cognitive Abilities, 5, 51.
  • Ragni, M., & Steffenhagen, F. (2007). Qualitative spatial reasoning: a cognitive and computational approach. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 29, No. 29).
  • Ragni, M., & Steffenhagen, F. (2007). A Cognitive Computational Model for Spatial Reasoning. In AAAI Spring Symposium: Control Mechanisms for Spatial Knowledge Processing in Cognitive/Intelligent Systems (pp. 47-52).
  • 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.
  • Ragni, M., Fangmeier, T., Webber, L., & Knauff, M. (2006, September). Preferred mental models: How and why they are so important in human reasoning with spatial relations. In International Conference on Spatial Cognition (pp. 175-190). Springer, Berlin, Heidelberg.
  • Ragni, M. (2006, June). Reasoning in Dynamic Environments: Temporalized Intervals. In Workshop at KI 2006 (p. 15).
  • Ragni, M., & Wölfl, S. (2006). Temporalizing Cardinal Directions: From Constraint Satisfaction to Planning. KR, 6, 472-480.
  • Fangmeier, T., Knauff, M., Ragni, M., & Webber, L. (2006). Complexity in Spatial Reasoning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 28, No. 28).
  • Ragni, M., & Steffenhagen, F. (2006). An implementation of the srm-model. Spatial Cognition 2006: Poster Presentations, 29.
  • 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.
  • Ragni, M., Fangmeier, T., Webber, L., & Knauff, M. (2006). Complexity in spatial reasoning. In Proceedings of the 28th annual cognitive science conference (pp. 1986-1991).
  • Ragni, M., & Scivos, A. (2005, September). Dependency calculus: Reasoning in a general point relation algebra. In Annual Conference on Artificial Intelligence (pp. 49-63). Springer, Berlin, Heidelberg.
  • Ragni, M., & Wölfl, S. (2005, September). Temporalizing spatial calculi: On generalized neighborhood graphs. In Annual Conference on Artificial Intelligence (pp. 64-78). Springer, Berlin, Heidelberg.
  • Knauff, M., Nebel, B., & Ragni, M. (2005). A computational model for spatial reasoning with mental models. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 27, No. 27).
  • Ragni, M., & Wölfl, S. (2004, October). Branching Allen. In International Conference on Spatial Cognition (pp. 323-343). Springer, Berlin, Heidelberg.
  • Ragni, M. (2003, September). An arrangement calculus, its complexity and algorithmic properties. In Annual Conference on Artificial Intelligence (pp. 580-590). Springer, Berlin, Heidelberg.

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