Hagmayer, York, PD Dr.

Forschungschwerpunkte

• Kausales Denken und Lernen
• Kategorisierung
• Entscheiden und Urteilen

Kollaborationen

• Marc Bühner (Cardiff University, UK) Reliability and causal judgments
• Noah Goodman (MIT, USA) Causal attributions
• Björn Meder (Institut für Psychologie, Göttingen) Causal decision making
• Steven Sloman (Brown University, Providence, RI, USA) Causal decision making
• Cilia Witteman (Radboud Universiteit, NL) Causal reasoning in clinical judgments
• Michael Waldmann (Universität Göttingen)

Grundstudium / Undergraduate

• Methodenlehre
• Experimentalpsychologische Praktika
• Experimentelle Methoden
• Wissenschaftstheorie

Hauptstudium / Graduate

• Forschungsmethoden und Evaluation
• Entscheidungsanalyse
• Spieltheorie
• Statistische Modelle
• FOV: Entscheiden und Handeln
• Arbeits- und Organisationspsychologie
• Führungskräfteentwicklung

• Cognitive Science Society
• Deutsche Gesellschaft für Psychologie
• European Association for Decision Making
• Psychonomic Society (Associate Member)
• Academy of Management
• Society for Judgment and Decision Making

• Waldmann, M. R., Meder, B., von Sydow, M., & Hagmayer, Y. (2009). The tight coupling between category and causal learning. Cognitive Processing.
• Waldmann, M. R., Cheng, P. W., Hagmayer, Y., & Blaisdell, A. P. (2008). Causal learning in rats and humans: a minimal rational model. In N. Chater & M. Oaksford (Eds.), The probabilistic mind. Prospects for Bayesian cognitive science (pp. 453-484). Oxford: Oxford University Press.
• Hagmayer, Y., & Meder, B. (2008). Causal learning through repeated decision making. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 179-184). Mahwah NJ: Erlbaum.
• Hagmayer, Y., & Waldmann, M. R. (2008). Zur Rolle kausaler Mechanisman beim Lernen und Denken. In S. Pauen, D. Bailer-Jones & M. Dullstein (Eds.), Mechanismen und kausales Verstehen (S. 41-58). Heidelberg: Mentis.
• Meder, B., Hagmayer, Y., & Waldmann, M. R. (2008). Inferring interventional predictions from observational learning data. Psychonomic Bulletin & Review, 15 (1), 75-80.
• Hagmayer, Y., & Waldmann, M. R. (2007). Inferences about unobserved causes in human contingency learning. Quarterly Journal of Experimental Psychology, 60 (3), 330-355.
• Lagnado, D. A., Waldmann, M. R., Hagmayer, Y., & Sloman, S. A. (2007). Beyond covariation: Cues to causal structure. In A. Gopnik, & L. Schulz (Eds.), Causal learing: Psychology, philosophy, and computation (pp.154-172).Oxford: Oxford University Press.
• Hagmayer, Y., Sloman, S. A., Lagnado, D. A., & Waldmann, M. R. (2007). Causal reasoning through intervention. In A. Gopnik, & L. Schulz (Eds.), Causal learning: Psychology, philosophy, and computation (pp. 86-100). Oxford: Oxford University Press.
• Waldmann, M. R., Hagmayer, Y., & Blaisdell, A. P. (2006). Beyond the information given: Causal models in learning and reasoning. Current Directions in Psychological Science, 15 (6), 307-311.
• von Sydow, M., & Hagmayer, Y. (2006). Deontic logic and deontic goals in the Wason Selection Task. In R. Sun & N. Miyaki (Eds.), Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society, pp. 864-869). Mahwah, NJ: Erlbaum.
• Sloman, S. A., & Hagmayer, Y. (2006). The causal psycho-logic of choice. Trends in Cognitive Science, 10, 407-412.
• Hagmayer, Y., & Sloman, S. A. (2006). Causal vs. evidential decision making in Newcomb's Paradox. In R. Sun, & N. Miyake (Eds.), Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum.
• Hagmayer, Y., & Waldmann, M. R. (2006). Kausales Denken. In J. Funke (Hrsg.), Enzyklopädie der Psychologie "Denken und Problemlösen", Band C/II/8 (S. 87-166). Göttingen: Hogrefe Verlag.
• Meder, B., Hagmayer, Y., & Waldmann, M. R. (2006). Understanding the causal logic of confounds. In R. Sun, & N. Miyake (Eds.), Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society (pp. 579-584). Mahwah, NJ: Erlbaum.
• Waldmann, M. R., & Hagmayer, Y. (2006). Catagories and causality: The neglected direction. Cognitive Psychology, 53, 27-58.
• Hagmayer, Y., & Sloman, S. A. (2005). A causal model theory of choice. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society (pp. 881-886). Mahwah, NJ: Erlbaum.
• von Sydow, M., Hagmayer, Y., Metzner, N., & Waldmann, M. R. (2005). Cooperation detection and deontic reasoning in the Wason Selection Task. In K. Opwis, & I.-K. Penner (Eds.), Proceedings of KogWis05. The German Cognitive Science Society Conference 2005 (pp. 195-200). Basel: Schwabe.
• Meder, B., Hagmayer, Y., & Waldmann, M. R. (2005). Doing after seeing. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society (pp. 1461-1466). Mahwah, NJ: Erlbaum.
• Waldmann, M. R., & Hagmayer, Y. (2005). Seeing versus doing: Two modes of accessing causal knowledge and processing effort. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 216-227
• Hagmayer, Y., & Waldmann, M. R. (2004). Seeing the unobservable – Inferring the probability and impact of hidden causes. In K. D. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society (pp. 523-528). Mahwah, NJ: Erlbaum.
• Hagmayer, Y., & Waldmann, M. R. (2002). A constraint satisfaction model of causal learning and reasoning. Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society (pp. 405-410). Mahwah, NJ: Erlbaum.
• Hagmayer, Y. & Waldmann, M. R. (2002). How temporal assumptions influence causal judgments. Memory & Cognition, 30, 1128-1137.
• Waldmann, M. R., & Hagmayer, Y. (2001). Estimating causal strength: The role of structural knowledge and processing effort. Cognition, 82, 27-58.
• Hagmayer, Y. (2001). Denken mit und über Kausalmodelle. Dissertationsschrift. [PDF]
• Hagmayer, Y. & Waldmann, M. R. (2001). Testing complex causal hypotheses. In M. May and U. Oestermeier (Eds.). Interdisciplinary Perspectives on Causation. Bern Studies in the History and Philosophy of Science.
• Hagmayer, Y. & Waldmann, M. R. (2000). Simulating causal models: The way to structural sensitivity. In Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. (pp. 214-219). Mahwah, NJ: Erlbaum.
• Hagmayer, Y., &. Waldmann, M. R. (1999). Sind statistische Verfahren adäquate Modelle kausalen Denkens? In M. May & U. Oestermeier (Hrsg.), KogWiss, 99. Workshop Kausalität. GMD Report, 60 (S. 39-43). St. Augustin.
• Waldmann, M. R., & Hagmayer, Y. (1999). How categories shape causality. In Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society. (pp. 761-766). Mahwah, NJ: Erlbaum.
• Waldmann, M. R., & Hagmayer, Y. (1998). Die kognitive Konstruktion von Kausalität. Dialektik. Enzyklopädische Zeitschrift für Philosophie und Wissenschaften, 2, 101-114.
• Waldmann, M. R., & Hagmayer, Y. (1995). Causal paradox: When a cause simultaneously produces and prevents an effect. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society. (pp. 425-430). Mahwah, NJ: Erlbaum.