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Publications

Books

  • Waldmann, M. R. (1990). Schema und Gedächtnis. Heidelberg: Asanger Verlag.
  • Waldmann, M. R., & Weinert, F. E. (1990). Intelligenz und Denken. Göttingen: Hogrefe Verlag für Psychologie.
  • Dhami, M. K., Schlottmann, A., & Waldmann, M. R. (Eds.)(2012). Judgment and decision making as a skill. Learning, development and evolution. Cambridge: Cambridge University Press.
  • Bender, A., Beller, S., & Waldmann, M. R. (Eds.)(2017). Diversity and universality in causal cognition. Frontiers Research Topic eBook.
  • Waldmann, M. R. (Ed.)(2017). Oxford Handbook of Causal Reasoning. New York: Oxford University Press.

 

Articles

  • Engelmann, N., & Waldmann, M. R. (in press). How causal structure, causal strength, and foreseeability affect moral judgments. Cognition.

  • Stephan, S., & Waldmann, M. R. (in press). The interplay between covariation, temporal, and mechanism information in singular causation judgments. In A. Wiegmann & P. Willemsen (Eds.), Advances in Experimental Philosophy of Causation. London, UK: Bloomsbury Press.

  • Stephan, S., & Waldmann, M. R. (2022). The role of mechanism knowledge in singular causation judgments. Cognition. 104924.
  • Engelmann, N., & Waldmann, M. R. (2022). How we weigh lives. A   computational model of moral judgment in multiple-outcome structures. Cognition. 104910.
  • Skovgaard-Olsen, N., Stephan, S., & Waldmann, M. R. (2021). Conditionals   and the hierarchy of causal queries. Journal of Experimental Psychology:   General. Advance online.

  • Waldmann, M. R. (2021). The rationality of everyday causal cognition. In M. Knauff & W. Spohn (Eds.), The handbook of rationality (pp. 439-448). Cambridge, MA: MIT Press.

  • Stephan, S., Tentori, K., Pighin, S., & Waldmann, M. R. (2021). Interpolating causal mechanisms: The paradox of knowing more. Journal of Experimental Psychology: General. 150(8), 1500–1527.

  • Stephan, S., Placì, S., & Waldmann, M. R. (2021). Evaluating general versus singular causal prevention. Proceedings of the 43th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 

  • Engelmann, N., & Waldmann, M. R. (2021). A causal proximity effect in moral judgment. Proceedings of the 43th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 

  • Stephan, S., Mayrhofer, R., & Waldmann, M. R. (2020). Time and singular causation - a computational model. Cognitive Science, 44, e12871.

  • Krueger, J. I., Hahn, U., Ellerbrock, D. Gächter, S.,  Hertwig, R., Kornhauser, L. A., Leuker, C., Szech, N., & Waldmann, M. R. (2021). Normative implications of deliberate ignorance. In R. Hertwig & C. Engel (Eds). Deliberate Ignorance: Choosing Not to Know. Strüngmann Forum Reports, vol. 29, J. R. Lupp, series editor (pp. 242-271). Cambridge, MA: MIT Press.

  • Stephan, S., & Waldmann, M. R. (2020). Causal scope and causal strength: The number of potential effects of a cause influences causal strength estimates. In S. Denison., M. Mack, Y. Xu, & B.C. Armstrong (Eds.), Proceedings of the 42th Annual Conference of the Cognitive Science Society (pp. 3426 - 3432). Austin, TX: Cognitive Science Society.

  • Stephan, S., & Waldmann, M. R. (2020). On causal claims, contingencies, and inference: How causal terminology affects what we think about the strength of causal links. In S. Denison., M. Mack, Y. Xu, & B.C. Armstrong (Eds.), Proceedings of the 42th Annual Conference of the Cognitive Science Society (pp. 3419 - 3425). Austin, TX: Cognitive Science Society. 

  • Meder, B., Fleischhut, N., Krumnau, N.-C., & Waldmann, M. R. (2019). How should autonomous cars drive? A preference for defaults in moral judgments under risk and uncertainty. Risk Analysis, 39, 295-314.

  • Engelmann, N., & Waldmann, M. R. (2019). Moral reasoning with multiple effects: Justification and moral responsibility for side effects. Proceedings of the 41th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

  • Stephan, S., Mayrhofer, R., & Waldmann, M. R. (2018). Assessing singular causation: The role of causal latencies. Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 1082-1087). Austin, TX: Cognitive Science Society.

  • Stephan, S., & Waldmann, M. R. (2018). Preemption in singular causation judgments: A computational model. Topics in Cognitive Science, 10, 242–257.

  • Beller, S., Bender, A., & Waldmann, M. R. (Eds.) (2017). Diversity and universality in causal cognition. Frontiers Research Topic eBook. Full text
  • Stephan, S., & Waldmann, M. R. (2017). Preemption in singular causation judgments: A computational model. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 1126-1131). Austin, TX: Cognitive Science Society. (Computational Modeling: Higher Level Cognition Award of the Cognitive Science Society). Full text
  • Waldmann, M. R. (2017). Causal reasoning: An introduction. In M. R. Waldmann (Ed.), The Oxford handbook of causal reasoning (pp. 1-9). New York: Oxford University Press.
  • Rehder, B., & Waldmann, M. R. (2017). Failures of explaining away and screening off in described versus experienced causal learning scenarios. Memory & Cognition, 45, 245-260. Full text
  • Waldmann, M. R., Wiegmann, A., & Nagel, J. (2017). Causal models mediate moral inferences. In J.-F. Bonnefort & B. Trémolière (Eds.), Moral inferences (pp. 37-55). London: Routledge. Full text
  • Waldmann, M. R. (2017). Kategorisierung und Wissenserwerb. In J. Müsseler & M. Rieger (Hrsg.). Allgemeine Psychologie (3. überarbeitete Auflage, S. 357-399). Berlin: Springer Verlag.
  • Powell, D., Cheng, P., & Waldmann, M. R. (2016). How should autonomous vehicles behave in moral dilemmas? Human judgments reflect abstract moral principles. 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. Full text
  • Dwyer, D. M., & Waldmann, M. R. (2016). Beyond the information (not) given. Representation of stimulus absence in rats (Rattus norvegicus). Journal of Comparative Psychology, 130, 192-204. Full text
  • Mayrhofer, R., & Waldmann, M. R. (2016). Sufficiency and necessity assumptions in causal structure induction. Cognitive Science, 40, 2137-2150. Full text
  • Stephan, S., & Waldmann, M. R. (2016). Answering Causal Queries about Singular Cases. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 2795-2801). Austin, TX: Cognitive Science Society. Full text
  • Samland, J., & Waldmann, M. R. (2016). How prescriptive norms influence causal inferences. Cognition, 156, 164-176. Full text
  • Waldmann, M. R., & Mayrhofer, R. (2016). Hybrid causal representations. In B. Ross (Ed.), The Psychology of Learning and Motivation (Vol. 65, pp. 85-127). New York: Academic Press. Full text
  • Mayrhofer, R., & Waldmann, M. R. (2016). Causal agency and the perception of force. Psychonomic Bulletin & Review, 23 (3), 789-796. Full text
  • Nagel, J., & Waldmann, M. R. (2016). On having very long arms. How the availability of technological means affects moral cognition. Thinking & Reasoning, 22, 184-208. Full text
  • Wiegmann, A., Samland, J., & Waldmann, M. R. (2016). Lying despite telling the truth. Cognition, 150, 37-42. Full text
  • Samland, J., Josephs, M., Waldmann, M. R., &  Rakoczy, H. (2016). The role of prescriptive norms and knowledge in children’s and adults’ causal selection. Journal of Experimental Psychology: General, 145, 125-130. Full Text
  • Rakoczy, H., Behne, T., Clüver, A., Dallmann, A., Weidner, S., & Waldmann, M.R. (2015). The side-effekt in children is robust and not specific to the moral status of action effects. PLoS ONE, 10(7). Full text
  • Samland, J., & Waldmann, M. R. (2015). Highlighting the causal meaning of causal test questions in contexts of norm violations. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. Full text
  • Mayrhofer, R., & Waldmann, M. R. (2015). Agents and causes: Dispositional intuitions as a guide to causal structure. Cognitive Science, 39, 65-95. Full text
  • Samland, J., & Waldmann, M. R. (2014). Do social norms influence causal inteferences. In P. Bello, M. Guarini, M. McShane & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1359-1364). Austin, TX: Cognitive Science Society. Full text
  • Meder, B., Mayrhofer, R., & Waldmann, M. R. (2014). Structure induction in diagnostic causal reasoning. Psychological Review, 121 (3), 277-301. Full text
  • Mayrhofer, R., & Waldmann, M. R. (2014). Indicators of causal agency in physical interactions: The role of the prior context. Cognition, 132, 485-490. Full text
  • Wiegmann, A., & Waldmann, M. R. (2014). Transfer effects between moral dilemmas: A causal model theory. Cognition, 131, 28-43. Full text
  • Waldmann, M. R., & Hagmayer, Y. (2013). Causal reasoning. In D. Reisberg (Ed.), Oxford Handbook of Cognitive Psychology (pp. 733-752). New York: Oxford University Press. Full text
  • Schloegl, C., Waldmann, M. R., & Fischer, J. (2013). Understanding of and reasoning about object-object relationships in long-tailed macaques? Animal Cognition, 16 (3), 493-507.  Full Text
  • Nagel, J., & Waldmann, M. R. (2013). Deconfounding distance effects in judgments of moral obligation. Journal of Experimental Psychology: Learning, Memory, & Cognition, 39 (1), 237-252. Full text
  • 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. Full text
  • Nagel, J., & Waldmann, M. R. (2012). Force dynamics as a basis for moral intuitions. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 785-790). Austin, TX: Cognitive Science Society. Full text
  • Lewandowsky, S., Palmeri, T. J., & Waldmann, M. R. (2012). Introduction to the special section on theory and data in categorization: Integrating computational, behavioral, and cognitive neuroscience approaches. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 803-806. Full text
  • Waldmann, M. R., Schmid, M., Wong, J., & Blaisdell, A. (2012). Rats distinguish between absence of events and lack of evidence in contingency learning. Animal Cognition, 15, 979-990. Full text
  • Waldmann, M. R., Nagel, J., & Wiegmann, A. (2012). Moral judgment. In K. J. Holyoak & R. G. Morrison (Eds.), The Oxford Handbook of Thinking and Reasoning (pp. 364-389). New York: Oxford University Press. Full text
  • Blaisdell, A. P., & Waldmann, M. R. (2012). Rational rats: Causal inference and representation. In E. Wasserman & T. Zentall (Eds.), The Oxford Handbook of Comparative Cognition (pp. 175-198). Oxford: Oxford University Press. Full text
  • Dhami, M. K., Schlottmann, A., & Waldmann, M. R. (Eds.)(2012). Judgment and decision making as a skill. Learning, development and evolution. Cambridge: Cambridge University Press.
  • Waldmann, M. R. (2012). Predictive vs. diagnostic causal learning. In N. M. Seel (Ed.), Encyclopedia of the Sciences of learning (pp. 2665-2667). Berlin, Heidelberg: Springer Verlag.
  • Waldmann, M. R. (2011). Neurath's ship: the constitutive relation between normative and descriptive theories of rationality. Behavioral and Brain Sciences, 34, 273-274. Full text
  • Mayrhofer, R., & Waldmann, M. R. (2011). Heuristics in covariation-based induction of causal models: Sufficiency and necessity priors. In L. Carlson, C. Hölscher & T. Shipley (Eds.), Proceedings of the Thirty-Third Annual Conference of the Cognitive Science Society (pp. 3110-3115). Austin, TX: Cognitive Science Society. Full text
  • Hagmayer, Y., Meder, B., von Sydow, M., & Waldmann, M. R. (2011). Category transfer in sequential causal learning: the unbroken mechanism hypothesis.Cognitive Science, 35, 842-873. Full text
  • Fenker, D. B., Schoenfeld, M. A., Waldmann, M. R., Schuetze, H., Heinze, H.-J., & Duezel, E. (2010). 'Virus and epidemic': Causal knowledge activates prediction error circuitry. Journal of Cognitive Neuroscience, 22, 2151-2163. Full text
  • Waldmann, M. R., & Wiegmann, A. (2010). A double causal contrast theory of moral intuitions in trolley dilemmas. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society (2589-2594). Austin, TX: Cognitive Science Society. Full text
  • Mayrhofer, R., Hagmayer, Y., & Waldmann, M. R. (2010). Agents and Causes: A Bayesian error attribution model of causal reasoning. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society (925-930). Austin, TX: Cognitive Science Society. Full text
  • Mayrhofer, R., Nagel, J., & Waldmann, M. R. (2010). The role of causal schemas in inductive reasoning. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society (1082-1087). Austin, TX: Cognitive Science Society. Full text
  • Nagel, J., & Waldmann, M. R. (2010). Deconfounding distance effects in moral reasoning. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society (2595-2600). Austin, TX: Cognitive Science Society. Full text
  • von Sydow, M., Hagmayer, Y., Meder, B., & Waldmann, M. R. (2010). How causal reasoning can bias empirical evidence. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society (pp. 2087-2092). Austin, TX: Cognitive Science Society.
  • Meder, B., Gerstenberg, T., Hagmayer, Y., & Waldmann, M. R. (2010). Observing and intervening: Rational and heuristic models of causal decision making. The Open Psychology Journal, 3, 119-135. Full text
  • Waldmann, M. R. (2010). Causal thinking. In B. Glatzeder, V. Goel & A. v. Müller (Eds.), Towards a theory of thinking (pp. 123-134). Berlin, Heidelberg: Springer Verlag. Full text
  • Waldmann, M. R., Meder, B., von Sydow, M., & Hagmayer, Y. (2010). The tight coupling between category and causal learning. Cognitive Processing, 11, 143-158. Full text
  • Meder, B., Mayrhofer, R., & Waldmann, M. R. (2009). A rational model of elemental diagnostic inference. In N. Taatgen, H. van Rijn, L. Schomaker & J. Nerbonne (Eds.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society (pp. 2176-2181). Austin, TX: Cognitive Science Society. Full text
  • Griffiths, O., Mayrhofer, R., Nagel, J., & Waldmann, M. R. (2009). Causal schema-based inductive reasoning. In N. Taatgen, H. van Rijn, L. Schomaker & J. Nerbonne (Eds.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society (pp. 691-696). Austin, TX: Cognitive Science Society. Full text
  • Blaisdell, A. P., Leising, K. J., Stahlman, W. D., & Waldmann, M. R. (2009). Rats distinguish between absence of events and lack of information in sensory preconditioning. International Journal of Comparative Psychology, 22, 1-18. Full text
  • Meder, B., Hagmayer, Y., & Waldmann, M. R. (2009). The role of learning data in causal reasoning about observations and interventions. Memory & Cognition, 37, 249-264. Full text
  • Mayrhofer, R., Goodman, N. D., Waldmann, M. R., & Tenenbaum, J. B. (2008). Structured correlation from the causal background. In Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society (pp. 303-308). Full text
  • Leising, K. J., Wong, J., Waldmann, M. R., & Blaisdell, A. P. (2008). The special status of actions in causal reasoning in rats. Journal of Experimental Psychology: General, 127 (3), 514-527. Full text
  • Hagmayer, Y., & Waldmann, M. R. (2008). Zur Rolle kausaler Mechanismen beim Lernen und Denken. In S. Pauen, D. Bailer-Jones & M. Dullstein (Eds.), Mechanismen und kausales Verstehen (S. 41-58). Heidelberg: Mentis.
  • 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: University Press. Full text
  • Meder, B., Hagmayer, Y., & Waldmann, M. R. (2008). Inferring interventional predictions from observational learning data. Psychonomic Bulletin & Review, 15 (1), 75-80. Full text
  • Waldmann, M. R. (2008). Kategorisierung und Wissenserwerb. In J. Müsseler (Hrsg.), Lehrbuch Allgemeine Psychologie (2. überarbeitete Aufl., S. 377-427). Heidelberg: Spektrum Verlag.
  • Reips, U.-D., & Waldmann, M. R. (2008). When learning order affects sensitivity to base rates: Challenges for theories of causal learning. Experimental Psychology, 55, 9-22. Full text
  • Waldmann, M. R. (2007). Combining versus analyzing multiple causes: How domain assumptions and task context affect integration rules. Cognitive Science, 31, 233-256. Full text
  • Hagmayer, Y., & Waldmann, M. R. (2007). Inferences about unobserved causes in human contingency learning. Quarterly Journal of Experimental Psychology, 60 (3), 330-355. Full text
  • Waldmann, M. R., & Dieterich, J. (2007). Throwing a bomb on a person versus throwing a person on a bomb: Intervention myopia in moral intuitions. Psychological Science, 18 (3), 247-253. Full text
  • 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. Full text
  • 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 learning: Psychology, philosophy, and computation (pp. 154-172). Oxford: Oxford University Press. Full text
  • Blaisdell, A. P., Sawa, K., Leising, K. J., & Waldmann, M. R. (2006). Causal reasoning in rats. Science, 311, 1020-1022. Full text Supporting material
    Faculty of 1000 Biology evaluation: "must read"
  • Waldmann, M. R. (2006). A case for the moral organ? Book review of "Moral minds" by Marc Hauser. Science, 314, 57-58. Full text
  • 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. Full text
  • 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. Full text
  • Meder, B., Hagmayer, Y., & Waldmann, M. R. (2006). Understanding the causal logic of confounds. Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society (pp. 579-584). Mahwah, NJ: Erlbaum. Full text
  • Waldmann, M. R., & von Sydow, M. (2006). Wissensbildung, Problemlösen und Denken. In K. Pawlik (Hrsg.): Psychologie (S. 217-229). Berlin-Heidelberg: Springer-Verlag. Full text
  • Waldmann, M. R., & Hagmayer, Y. (2006). Categories and causality: The neglected direction. Cognitive Psychology, 53, 27-58. Full text
  • Waldmann, M. R. (2006). Konzepte und Kategorien. J. Funke & P. A. Frensch (Hrsg.). Handbuch der Psychologie (S. 283-293). Göttingen: Hogrefe Verlag.
  • Fenker, D., Waldmann, M. R., & Holyoak, K. J. (2005). Accessing causal relations in semantic memory. Memory & Cognition, 33, 1036-1046. Full text
  • 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 Conference 2005. Basel: Schwabe. Full text
  • Satpute, A. J., Fenker, D., Waldmann, M. R., Tabibnia, G., Holyoak, K. J., & Lieberman, M. (2005). An fMRI study of causal judgments. European Journal of Neurosciences, 22, 1233-1238. Full text
  • 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. Full text
  • Waldmann, M. R., & Walker, J. M. (2005). Competence and performance in causal learning. Learning & Behavior, 33, 211-229. Full text
  • Waldmann, M. R., & Hagmayer, Y. (2005). Seeing versus doing: Two modes of accessing causal knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 216-227. Full text
  • Hagmayer, Y., & Waldmann, M. R. (2004). Seeing the unobservable - Inferring the probability and impact of hidden causes (pp. 523-528). Proceedings ot the Twenty-Sixth Annual Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum. Full text
  • Waldmann, M. R., Renkl, A., & Gruber, H. (2003). Das Dreieck von Begabung, Wissen und Lernen. In W. Schneider & M. Knopf (Hrsg.), Entwicklung, Lehren und Lernen. Zum Gedenken an Franz Emanuel Weinert (S. 219-233). Göttingen: Hogrefe. Full text
  • Hagmayer, Y., & Waldmann, M. R. (2002). How temporal assumptions influence causal judgments. Memory & Cognition, 30 (7), 1128-1137. Full text
  • Waldmann, M. R. (2002). Kategorisierung und Wissenserwerb. In J. Müsseler & W. Prinz (Hrsg.), Lehrbuch Allgemeine Psychologie (S. 432-491). Heidelberg: Spektrum Verlag. Full text
  • 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. Full text
  • Hildebrandt, M., & Waldmann, M. R. (2002). Overshadowing. In D. Janetzko, H. A. Meyer, & M. Hildebrandt (Hrsg.), Das experimentalpsychologische Praktikum im Labor und WWW (S. 223-234). Göttingen: Hogrefe-Verlag. Full text
  • Waldmann, M. R. (2002). Experimente und kausale Theorien. In D. Janetzko, H. A. Meyer & M. Hildebrandt (Hrsg.), Das experimentalpsychologische Praktikum im Labor und WWW (S. 13-42). Göttingen: Hogrefe. Full text
  • Waldmann, M. R. (2001). Predictive versus diagnostic causal learning: Evidence from an overshadowing paradigm. Psychonomic Bulletin & Review, 8, 600-608. Full text
  • Waldmann, M. R., & Hagmayer, Y. (2001). Estimating causal strength: The role of structural knowledge and processing effort. Cognition, 82, 27-58. Full text
  • Hagmayer, Y., & Waldmann, M. R. (2000). Simulating causal models: The way to structural sensitivity. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society (pp. 214-219). Mahwah, NJ: Erlbaum. Full text
  • Waldmann, M. R. (2000). Competition among causes but not effects in predictive and diagnostic learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 53-76. Full text
  • Waldmann, M. R., & Hagmayer, Y. (1999). How categories shape causality. In M. Hahn & S. C. Stoness (Eds.), Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society (pp. 761-766). Mahwah, NJ: Erlbaum. Full text
  • Waldmann, M. R., & Martignon, L. (1998). A Bayesian network model of causal learning. In M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (pp. 1102-1107). Mahwah, NJ: Erlbaum. Full text
  • Waldmann, M. R., & Hagmayer, Y. (1998). Die kognitive Konstruktion von Kausalität. Dialektik -- Enzyklopädische Zeitschrift für Philosophie und Wissenschaften, 2, 101-114.
  • Waldmann, M. R., & Holyoak, K. J. (1997). Determining whether causal order affects cue selection in human contingency learning: Comments on Shanks and Lopez (1996). Memory & Cognition, 25, 125-134.
  • Waldmann, M. R. (1997). Erwerb von Kausalwissen. In H. Mandl (Hrsg.), Bericht über den 40. Kongreß der Deutschen Gesellschaft für Psychologie in München (S. 125-133). Göttingen: Hogrefe Verlag.
  • Waldmann, M. R. (1997). Wissen und Lernen. Psychologische Rundschau, 48, 84-100.
  • Waldmann, M. R. (1996). Knowledge-based causal induction. In D. R. Shanks, K. J. Holyoak, & D. L. Medin (Eds.), The psychology of learning and motivation, Vol. 34: Causal learning (pp. 47-88). San Diego: Academic Press. Full text
  • Waldmann, M. R. (1996a). Wissensgeleitetes Lernen. In J. Hoffmann & W. Kintsch (Hrsg.), Enzyklopädie - Kognition, Band II: Lernen (S. 323-355). Göttingen: Hogrefe Verlag.
  • Waldmann, M. R. (1996b). Kognitionspsychologische Theorien von Begabung und Expertise. In F. E. Weinert (Hrsg.), Enzyklopädie - Pädagogische Psychologie, Band II: Psychologie des Lernens und der Instruktion (S. 441-472). Göttingen: Hogrefe Verlag.
  • Waldmann, M. R., & Hagmayer, Y. (1995). Causal paradox: When a cause simultaneously produces and prevents an effect. In J. D. Moore & J. F. Lehman (Eds.), Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 425-430). Mahwah, NJ: Erlbaum.
  • Waldmann, M. R., Holyoak, K. J., & Fratianne, A. (1995). Causal models and the acquisition of category structure. Journal of Experimental Psychology: General, 124, 181-206. Full text
  • Melz, E. R., Cheng, P. W., Holyoak, K. J., & Waldmann, M. R. (1993). Cue competition in human categorization: Contingency or the Rescorla-Wagner learning rule? Comments on Shanks (1991). Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 1398-1410. Full text
  • Waldmann, M. R., & Holyoak, K. J. (1992). Predictive and diagnostic learning within causal models: Asymmetries in cue competition. Journal of Experimental Psychology: General, 121, 222-236. Full text
  • Knopf, M., & Waldmann, M. R. (1991). Die Rolle von Ereignisschemata beim Lernen im Vorschulalter. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 23, 181-196.
  • Knopf, M., & Waldmann, M. R. (1991). Wissensrepräsentation und Lernen. In D. Frey (Hrsg.), Bericht über den 37. Kongreß der Deutschen Gesellschaft für Psychologie in Kiel 1990 (Band 2, S. 590-593). Göttingen: Hogrefe Verlag für Psychologie.
  • Waldmann, M. R., & Weinert, F. E. (1990). Intelligenz und Denken. Göttingen: Hogrefe Verlag.
  • Waldmann, M. R., & Holyoak, K. J. (1990). Can causal induction be reduces to associative learning? In Proceedings of the 12th Annual Conference of the Cognitive Science Society (pp. 190-197). Hillsdale, NJ: Erlbaum.
  • Knopf, M., & Waldmann, M. R. (1990). Die Entwicklung itemspezifischer und relationaler Gedächtnisprozesse bei 4- und 6jährigen Kindern. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 22, 42-53.
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  • Weinert, F. E., & Waldmann, M. R. (1988). Wissenentwicklung und Wissenserwerb. In H. Mandl & H. Spada (Hrsg.), Wissenspsychologie. Ein Lehrbuch (pp. 161-199). München: Urban & Schwarzenberg.
  • Weinert, F. E., & Waldmann, M. R. (1986). How do the gifted think: Intellectual abilities and cognitive processes. In A. J. Cropley, K. K. Urban, H. Wagner, & W. Wieczerkowski (Eds.), Giftedness: A continuing worldwide callenge (pp. 49-64). New York: Trillium Press.
  • Kuhl, J., & Waldmann, M. R. (1985). Handlungspsychologie: Vom Experimentieren mit Perspektiven zu Perspektiven fürs Experimentieren. Zeitschrift für Sozialpsychologie, 16, 153-181.
  • Weinert, F. E., & Waldmann, M. R. (1985). Das Denken Hochbegabter - Intellektuelle Fähigkeiten und kognitive Prozesse. Zeitschrift für Pädagogik, 31, 789-804.
  • Schmitz, E., & Waldmann, M. R. (1985). Normentabelle für Jugendliche und junge Erwachsene zur Bestimmung der Rechtschreib-Fertigkeit. Sprache und Beruf, 1, 46-51.