2017

  • Beierle, C., Eichhorn, C., & Kern-Isberner, G. (2017). On transformations and normal forms of conditional knowledge bases. In S. Benferhat, K. Tabia, M. Ali (Eds.), Proceedings of the International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 488-494). Cham: Springer.
  • Beierle, C., Eichhorn, C., & Kern-Isberner, G. (2017). A transformation system for unique minimal normal forms of conditional knowledge bases. In A. Antonucci, L. Cholvy, O. Papini (Eds.), Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 236-245). Cham: Springer.
  • Pfeifer, N. & Pankka, H. (2017). Modeling the Ellsberg paradox by argument strength. In Gunzelmann, G., Howes, A., Tenbrink, T., & Davelaar, E. (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 925-930). Austin, TX: Cognitive Science Society.
  • Pfeifer, N. & Tulkki, L. (2017). Abductive, causal, and counterfactual conditionals under incomplete probabilistic knowledge. In Gunzelmann, G., Howes, A., Tenbrink, T., & Davelaar, E. (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 2888-2893). Austin, TX: Cognitive Science Society.
  • Pfeifer, N. & Yama, H. (2017). Counterfactuals, indicative conditionals, and negation under uncertainty: Are there cross-cultural differences? In Gunzelmann, G., Howes, A., Tenbrink, T., & Davelaar, E. (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 2882-2887). Austin, TX: Cognitive Science Society.
  • Sanfilippo, G., Pfeifer, N., & Gilio, A. (2017). Generalized probabilistic modus ponens. In Antonucci, A., Cholvy L., & Papini, O. (Eds.). Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 480-490). Dordrecht: Springer (Lecture Notes in Computer Science, vol. 10369).
  • Wilhelm, M., Eichhorn, C., Niland, R., & Kern-Isberner, G. (2017). A semantics for conditionals with default negation. In A. Antonucci, L. Cholvy, O. Papini (Eds.), Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 257-267). Cham: Springer.
  • Wong, T. H. J., Nelson, J. D., & Schooler, L. J. (2017). Sequential search behavior changes according to distribution shape despite having a rank-based goal. Proceedings of the International Conference on Cognitive Modeling.
  • Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2017). Mapping the unknown: The spatially correlated multi-armed bandit. In Gunzelmann, G., Howes, A., Tenbrink, T., & Davelaar, E. (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp.1357-1362). Austin, TX: Cognitive Science Society.

  • 2016

  • Beierle, C., Eichhorn, C., Kern-Isberner, G., & Kutsch, S. (2016). Skeptical, weakly skeptical, and credulous inference based on preferred ranking functions. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, & F. van Harmelen (Eds.), Frontiers in Artificial Intelligence and Applications: ECAI 2016, Volume 285 (pp. 1149-1157).
  • Beierle, C., Eichhorn, C., & Kern-Isberner, G. (2016). Skeptical inference based on C-representations and its characterization as a constraint satisfaction problem. In G. R. Simari, M. Gyssens (Eds.), Proceedings of the 9th International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2016). Lecture Notes of Computer Science, Volume 9616 (pp. 65-82). Berlin: Springer.
  • Colombo, M., Postma, M., & Sprenger, J. (2016). Explanatory value, probability, and abductive inference. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 432-437). Austin, TX: Cognitive Science Society.
  • Knauber, H., Martignon, L., Schray, H., Nelson, J., & Meder, B. (2016). Informationssuche und Kodierung: Heuristiken von Viertklässlern. In Beiträge zum Mathematikunterricht: 50. Jahrestagung der Gesellschaft für Didaktik der Mathematik.
  • Powell, D., Cheng, P., & Waldmann, M. R. (2016). . In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 307-312). Austin, TX: Cognitive Science Society.
  • Ragni, M., Eichhorn, C., & Kern-Isberner, G. (2016). Simulating human inferences in the light of new information: a formal analysis. In Friedrich, G., Helmert, M., & Wotawa, F. (Eds.), KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference on AI (Proceedings), (pp. 297-302). Cham: Springer.
  • Ragni, M., Eichhorn, C., & Kern-Isberner, G. (2016). Simulating human inferences in the light of new information: a formal analysis. In S. Kambhampati (Ed.), Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (pp. 2604-2610). Palo Alto: AAAI Press.
  • Stephan, S. & Waldmann, M. R. (2016). Answering causal queries about singular cases. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 2795-2801). Austin, TX: Cognitive Science Society.
  • von Sydow, M., & Braus, N. 2016). On the tragedy of personnel evaluation. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 105-110). Austin, TX: Cognitive Science Society.
  • Thorn, P., & Schurz, G. (2016). . In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 456-461). Austin, TX: Cognitive Science Society.

  • 2015

  • Colombo, M. (2015). Why build a virtual brain? Large-sclae neural simulations as test-bed for artificial computing systems. In D. Noelle, R. Dale, A. Warlaumont, J. Yoshimi, T. Matlock, C. Jennings, P. Maglio (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 429-434). Austin, TX: Cognitive Science Society.
  • Gazzo Castañeda, L. E., & Knauff, M. (2015). Defeasible reasoning with quantifiers. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 770-775). Austin, TX: Cognitive Science Society.
  • Gilio, A., Pfeifer, N., & Sanfilippo, G. (2015). Transitive reasoning with imprecise probabilities. In Destercke, & S. Denoeux, T. (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2015) (pp. 95-105). Dordrecht: Springer.
  • Pedersen, A. P. & Wheeler, G. (2015). Dilation, disintegrations, and delayed decisions. Proceedings of the 9th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2015) (pp. 227-236).
  • Pfeifer, N. & Stöckle-Schobel, R. (2015). Uncertain conditionals and counterfactuals in (non-)causal settings. In Arienti, G., Bara, B. G. & Sandini G. (Eds.), Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (pp. 651-656).
  • Samland, J., & Waldmann, M. R.. (2015). Highlighting the causal meaning of causal test questions in contexts of norm violations. In D. Noelle, R. Dale, A. Warlaumont, J. Yoshimi, T. Matlock, C. Jennings, P. Maglio (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
  • Şimşek, Ö. & Buckmann, M. (2015). Learning from small samples: An analysis of simple decision heuristics. In Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M., and Garnett, R. (Eds.), Advances in Neural Information Processing Systems 28 (NIPS 2015) (pp. 3159-3167). Curran Associates, Inc.
  • Thorn, P. (2014). Wise crowds, clever meta-inductivists. In U. Maki, I. Votsis, S. Ruphy, & G. Schurz (Eds.), Recent Developments in the Philosophy of Science: EPSA13 Helsinki (pp. 71-86). Berlin: Springer.
  • Thorn, P., Eichhorn, C., Kern-Isberner, G., & Schurz, G. (2015). Qualitative probabilistic inference with default inheritance. In Proceedings of the KI 2015 Workshop on Formal and Cognitive Reasoning. (pp. 16-18).
  • von Sydow, M. (2015). The Tragedy of Inner-Individual Dilemmas. In D. Noelle, R. Dale, A. Warlaumont, J. Yoshimi, T. Matlock, C. Jennings, P. Maglio (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 2517-2522). Austin, TX: Cognitive Science Society.
  • von Sydow, M. (2015). Pattern probabilities for non-dichotomous events: a new rational contribution to the conjunction fallacy debate. In D. Noelle, R. Dale, A. Warlaumont, J. Yoshimi, T. Matlock, C. Jennings, P. Maglio (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 2517-2522). Austin, TX: Cognitive Science Society.

  • 2014

  • Hebbelmann, D., & von Sydow, M (2014). Betting on transitivity in an economic setting. In Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 2339-2344). Austin, TX: Cognitive Science Society.
  • Eichhorn, C., & Kern-Isberner, G. (2014). LEG Networks for Ranking Functions. In Logics in Artificial Intelligence (pp. 210-223). Springer International Publishing.
  • Morais, A. S., Schooler, L. J., Olsson, H., & Meder, B. (2014). From causal models to sound heuristic inference. In Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 1036-1041). Austin, TX: Cognitive Science Society.
  • Olsen, N. S. (2014). Logical omniscience and acknowledged vs. consequential commitments. In Proceedings of AISB50.
  • Ragni, M., Singmann, H., & Steinlein, E. M. (2014). Theory comparison for generalized quantifiers. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1330-1335). Austin, TX: Cognitive Science Society.
  • Samland, J., & Waldmann, M. R. (2014). . In P. Bello, M. Guarini, M. McShane, B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 1359-1364). Austin, TX: Cognitive Science Society.
  • Spohn, W. (2014). A priori principles of reason. In P. Schroeder-Heister, G. Heinzmann, W. Hodges, P. E. Bour (Eds.), Logic and Science Facing the New Technologies: Proceedings of the 14th International Congress (pp. 235-251). London : College Publications.
  • Spohn, W. (2014). How essentialism properly understood might reconcile realism and social constructivism. In M. C. Galavotti et al. (Eds.), New Directions in the Philosophy of Science (pp. 255-265). Cham: Springer.
  • von Sydow, M. (2014). Bayesian mental models of conditionals. In Cognitive Processing, 15 (Special Issue: Proceedings of the 12th Biannual conference of the German Cognitive Science Society), (pp. 148-151).
  • von Sydow, M. (2014). Is there a monadic as well as a dyadic Bayesian logic? Two logics explaining conjunction 'fallacies'. In P. Bello, M. Guarini, M. McShane, B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 1712-1717). Austin, TX: Cognitive Science Society.

  • 2013

  • Kern-Isberner, G. & Eichhorn, C. (2013). Intensional combination of rankings for OCF-networks. In Boonthum-Denecke, C. and Youngblood, M. (Eds.), Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2013) (pp. 615-620). AAAI Press.
  • Kern-Isberner, G. & Eichhorn, C. (2013). OCF-Networks with missing values. In Beierle, C. & Kern-Isberner, G. (eds.): Proceedings of th 4th Workshop on Dynamics of Knowledge and Belief (DKB-2013), 2013.
  • Mayrhofer, R., & Waldmann, M. R. (2013). Agency intuitions in physical interactions. In: Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 996-1001). Austin, TX: Cognitive Science Society.
  • Pachur, T., & Kellen, D. (2013). Modeling gain-loss asymmetries in risky choice: The critical role of probability weighting. In Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 3205-3210). Austin, TX: Cognitive Science Society.
  • Şimşek, Ö. (2013). Linear decision rule as aspiration for simple decision heuristics. In Advances in Neural Information Processing Systems (pp. 2904-2912).
  • Suter, R. S., Pachur, T., & Hertwig, R. (2013). How does prospect theory reflect heuristics' probability sensitivity in risky choice? In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative minds: Social interaction and group dynamics. Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1408-1413). Austin, TX: Cognitive Science Society.
  • von Sydow, M. (2013). Logical patterns in individual and general predication. In Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 3693-3698). Austin, TX: Cognitive Science Society.
  • Thorn, P. D. & Schurz, G. (2013). Ampliative inference under varied entropy levels. In Beierle, C., & Kern-Isberner, G. (Eds.), Proceedings of the 4th Workshop on Dynamics of Knowledge and Belief (pp. 77-88). Fakultät für Mathematik und Informatik, FernUniversität in Hagen.

  • 2012

  • Kern-Isberner, G. & Eichhorn, C. (2012). A structural base for conditional reasoning. In: Human Reasoning and Automated Deduction (HRAD)—KI 2012 Workshop Proceedings.
  • Schurz, G. (2012). Meta-induction and the problem of fundamental disagreement. In C. Jäger, & W. Löffler (Eds.), Epistemology: Contexts, Values, Disagreement: Proceedings of the 34th International Wittgenstein Symposium (pp. 343-354). Frankfurt/Main: Ontos Verlag.
  • von Sydow, M., & Fiedler, K. (2012). Bayesian Logic and Trial-by-Trial Learning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1090-1095). Austin, TX: Cognitive Science Society.
  • Waldmann, M. R., & Wiegmann, A. (2012). The role of the primary effect in the assessment of intentionality and morality. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1102-1107). Austin, TX: Cognitive Science Society.