PsychAuthors

Literaturliste von Prof. Dr. phil. Michael R. Waldmann

letzte Aktualisierung: 21.03.2023

Stephan, S., Engelmann, N. & Waldmann, M. R. (2023). The perceived dilution of causal strength. Cognitive Psychology, 140, No. 101540.

Demel, R., Grassi, F., Rafiee, Y., Waldmann, M. R. & Schacht, A. (2022). How German and Italian laypeople reason about distributive shortages during COVID-19. International Journal of Environmental Research and Public Health, 19(19), No. 12067.

Engelmann, N. & Waldmann, M. R. (2022). How causal structure, causal strength, and foreseeability affect moral judgments. Cognition, 226, No. 105167.

Engelmann, N. & Waldmann, M. R. (2022). How to weigh lives. A computational model of moral judgment in multiple-outcome structures. Cognition, 218, No. 104910.

Stephan, S. & Waldmann, M. R. (2022). The role of mechanism knowledge in singular causation judgments. Cognition, 218, No. 104924.

Skovgaard-Olsen, N., Stephan, S. & Waldmann, M. R. (2021). Conditionals and the hierarchy of causal queries. Journal of Experimental Psychology - General, 150(2), 2472-2505.

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., Mayrhofer, R. & Waldmann, M. R. (2020). Time and singular causation - A computational model. Cognitive Science, 44(7), No. e12871.

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(2), 295-314.

Stephan, S. & Waldmann, M. R. (2018). Preemption in singular causation judgments: A computational model. Topics in Cognitive Science, 10(1), 242-257.

Rehder, B. & Waldmann, M. R. (2017). Failures of explaining away and screening off in described versus experienced causal learning scenarios. Memory & Cognition, 45(2), 245-260.

Waldmann, M. R. (2017). Causal reasoning. An introduction. In M. R. Waldmann (Ed.), The Oxford handbook of causal reasoning (pp. 1-9). Oxford: Oxford University Press.

Waldmann, M. R. (2017). Kategorisierung und Wissenserwerb. In J. Müsseler & M. Rieger (Hrsg.), Allgemeine Psychologie (S. 357-399). Berlin: Springer.

Waldmann, M. R. (Ed.). (2017). The Oxford handbook of causal reasoning. Oxford: Oxford University Press.

Dwyer, D. M. & Waldmann, M. R. (2016). Beyond the information (not) given: Representations of stimulus absence in rats (rattus norvegicus). Journal of Comparative and Physiological Psychology, 130(3), 192-204.

Mayrhofer, R. & Waldmann, M. R. (2016). Causal agency and the perception of force. Psychonomic Bulletin & Review, 23(3), 789-796.

Mayrhofer, R. & Waldmann, M. R. (2016). Sufficiency and necessity assumptions in causal structure induction. Cognitive Science, 40(8), 2137-2150.

Nagel, J. & Waldmann, M. R. (2016). On having very long arms: How the availability of technological means affects moral cognition. Thinking and Reasoning, 22(2), 184-208.

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(2), 125-130.

Samland, J. & Waldmann, M. R. (2016). How prescriptive norms influence causal inferences. Cognition, 156, 164-176.

Waldmann, M. R. & Mayrhofer, R. (2016). Hybrid causal representations. Psychology of Learning and Motivation, 65, 85-127.

Wiegmann, A., Samland, J. & Waldmann, M. R. (2016). Lying despite telling the truth. Cognition, 37-42.

Mayrhofer, R. & Waldmann, M. R. (2015). Agents and causes: Dispositional intuitions as a guide to causal structure. Cognitive Science, 39(1), 65-95.

Rakoczy, H., Behne, T., Clüver, A., Dallmann, S., Weidner, S. & Waldmann, M. R. (2015). The side-effect effect in children is robust and not specific to the moral status of action effects. PLoS ONE, 10(7), No. e0132933.

Mayrhofer, R. & Waldmann, M. R. (2014). Indicators of causal agency in physical interactions: The role of the prior context. Cognition, 132(3), 485-490.

Meder, B., Mayrhofer, R. & Waldmann, M. R. (2014). Structure induction in diagnostic causal reasoning. Psychological Review, 121(3), 277-301.

Wiegmann, A. & Waldmann, M. R. (2014). Transfer effects between moral dilemmas: A causal model theory. Cognition, 131(1), 28-43.

Mayrhofer, R. & Waldmann, M. R. (2013). Agency intuitions in physical interactions. In M. Knauff, M. Pauen, N. Sebanz & I. Wachsmuth (Eds.), Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society (pp. 996-1001). Austin, TX: Cognitive Science Society.

Nagel, J. & Waldmann, M. R. (2013). Spatial distance, availability of means, and moral obligation judgments. In M. Knauff, M. Pauen, N. Sebanz & I. Wachsmuth (Eds.), Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society (pp. 3127-3132). Austin, TX: Cognitive Science Society.

Nagel, J. & Waldmann, M. R. (2013). Deconfounding distance effects in judgments of moral obligation. Journal of Experimental Psychology - Learning, Memory, and Cognition, 39(1), 237-252.

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.

Waldmann, M. R. & Hagmayer, Y. (2013). Causal reasoning. In D. Reisberg (Ed.), Oxford Handbook of Cognitive Psychology. New York: Oxford University Press.

Blaisdell, A. P. & Waldmann, M. R. (2012). Rational rats. Causal inference and representation. In T. R. Zenfall & E. A. Wasseman (Eds.), The Oxford handbook of comparative cognition (pp. 175-198). New York: Oxford University Press.

Dhami, M. K., Schlottmann, A. & Waldmann, M. R. (Eds.). (2012). Judgment and decision making as a skill. Learning, development and evolution. New York: Cambridge University Press.

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(4), 803-806.

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.

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. & 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.

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.

Waldmann, M. R., Schmid, M., Wong, J. & Blaisdell, A. P. (2012). Rats distinguish between absence of events and lack of evidence in contingency learning. Animal Cognition, 15(5), 979-990.

Hagmayer, Y., Meder, B., von Sydow, M. & Waldmann, M. R. (2011). Category transfer in sequential causal learning: The unbroken mechanism hypothesis. Cognitive Science, 35(5), 842-873.

Mayrhofer, R. & Waldmann, M. R. (2011). Heuristics in covariation-based induction of causal models: Sufficiency and necessity priors. In L. Carlson, C. Hoelscher & T. F. Shipley (Eds.), Proceedings of the 33rd annual meeting of the Cognitive Science Society (CogSci 2011), Boston, 20-23 July 2011, Volume 1 (pp. 3110-3115). Austin: Cognitive Science Society.

Waldmann, M. R. (2011). Neuraths ship: The constitutive relation between normative and descriptive theories of rationality. Behavioral and Brain Sciences, 34(5), 273-274.

Waldmann, M. R., Nagel, J. & Wiegmann, A. (2011). Moral judgment. In K. J. Holyoak & R. G. Morrison (Eds.), The Oxford handbook of thinking and reasoning (pp. 364-389). Oxford: Oxford University Press.

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(10), 2151-2163.

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.), Cognition in flux: Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Portland, Oregon, August 11-14, 2010 (pp. 925-930). Austin: Cognitive Science Society.

Mayrhofer, R., Nagel, J. & Waldmann, M. R. (2010). The role of causal schemas in inductive reasoning. In S. Ohlsson & R. Catrambone (Eds.), Cognition in flux: Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Portland, Oregon, August 11-14, 2010 (pp. 1082-1087). Austin: 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.

Nagel, J. & Waldmann, M. R. (2010). Deconfounding distance effects in moral reasoning. In S. Ohlsson & R. Catrambone (Eds.), Cognition in flux: Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Portland, Oregon, August 11-14, 2010 (pp. 2595-2600). Austin: Cognitive Science Society.

von Sydow, M., Hagmayer, Y., Meder, B. & Waldmann, M. R. (2010). How causal reasoning can bias empirical evidence. In S. Ohlsson & R. Catrambone (Eds.), Cognition in flux: Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Portland, Oregon, August 11-14, 2010 (pp. 2087-2092). Austin: Cognitive Science Society.

Waldmann, M. R. (2010). Causal thinking. In B. Glatzeder, V. Goel & A. von Müller (Eds.), Towards a theory of thinking. Building blocks for a conceptual framework (pp. 123-134). Berlin: Springer.

Waldmann, M. R., Meder, B., von Sydow, M. & Hagmayer, Y. (2010). The tight coupling between category and causal learning. Cognitive Processing, 11(2), 143-158.

Waldmann, M. R. & Wiegmann, A. (2010). A double causal contrast theory of moral intuitions in trolley dilemmas. In S. Ohlsson & R. Catrambone (Eds.), Cognition in flux: Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Portland, Oregon, August 11-14, 2010 (pp. 2589-2594). Austin: Cognitive Science Society.

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), 1-18.

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 31st Annual conference of the Cognitive Science Society 29 July- 1st August 2009, Amsterdam (pp. 691-696). Amsterdam: Cognitive Science Society.

Meder, B., Hagmayer, Y. & Waldmann, M. R. (2009). The role of learning data in causal reasoning about observations and interventions. Memory & Cognition, 37(3), 249-264.

Meder, B., Mayrhofer, R. & Waldmann, M. R. (2009). A rational model of elemental diagnostic inference. In N. Taatgen & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society. July 29 - August 1, 2009, Vrije Universiteit Amsterdam (pp. 2176-2181). Amsterdam: Cognitive Science Society.

Hagmayer, Y. & Waldmann, M. R. (2008). Zur Rolle kausaler Mechanismen beim Lernen und Denken. In S. Pauen, D. Bailer-Jones & M. Dullstein (Hrsg.), Mechanismen und kausales Verstehen (S. 41-58). Heidelberg: Mentis.

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.

Mayrhofer, R., Goodman, N. D., Waldmann, M. R. & Tenenbaum, J. B. (2008). Structured correlation from the causal background. In P. Shafto & N. D. Goodman (Eds.), Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society (pp. 290-295). Austin, TX: Cognitive Science Society.

Meder, B., Hagmayer, Y. & Waldmann, M. R. (2008). Inferring interventional predictions from observational learning data. Psychonomic Bulletin & Review, 15(1), 75-80.

Reips, U.-D. & Waldmann, M. R. (2008). When learning order affects sensitivity to base rates. Challenges for theories of causal learning. Experimental Psychology, 55(1), 9-22.

Waldmann, M. R. (2008). Kategorisierung und Wissenserwerb. In J. Müsseler (Hrsg.), Lehrbuch Allgemeine Psychologie (S. 377-427). Heidelberg: Spektrum Verlag.

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. 449-480). Oxford: Oxford University Press.

Hagmayer, Y., Sloman, S., Lagnado, D. & 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.

Hagmayer, Y. & Waldmann, M. (2007). Zur Rolle von Mechanismen beim kausalen Lernen und Denken. In D. Bailer-Jones, M. Dullstein & S. Pauen (Hrsg.), Kausales Denken. Philosophische und psychologische Perspektiven (S. 41-58). Paderborn: mentis.

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 learning: Psychology, philosophy, and computation (pp. 154-172). Oxford: Oxford University Press.

Waldmann, M. R. (2007). Combining versus analyzing multiple causes: How domain assumptions and task context affect integration rules. Cognitive Science, 31(2), 233-256.

Waldmann, M. R. & Dieterich, J. H. (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.

Blaisdell, A. P., Sawa, K., Leising, K. J. & Waldmann, M. R. (2006). Causal reasoning in rats. Science, 311(5763), 1020-1022.

Hagmayer, Y. & Waldmann, M. R. (2006). Kausales Denken. In J. Funke (Hrsg.), Denken und Problemlösen (S. 87-166). Göttingen: Hogrefe.

Meder, B., Hagmayer, Y. & Waldmann, M. R. (2006). Understanding the causal logic of confounds. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society, July 26-29, Vancouver (pp. 579-584). Mahwah, New Jersey: Lawrence Erlbaum Associates.

Waldmann, M. R. (2006). A case for the moral organ? Book review of "Moral minds" by Marc Hauser. Science, 314, 57-58.

Waldmann, M. R. (2006). Konzepte und Kategorien. In J. Funke & P. A. Frensch (Hrsg.), Handbuch der Allgemeinen Psychologie - Kognition (S. 283-293). Göttingen: Hogrefe.

Waldmann, M. R. & Hagmayer, Y. (2006). Categories and causality: The neglected direction. Cognitive Psychology, 53(1), 27-58.

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.

Waldmann, M. R. & von Sydow, M. (2006). Wissensbildung, Problemlösen und Denken. In K. Pawlik (Hrsg.), Handbuch Psychologie. Wissenschaft, Anwendung, Berufsfelder (S. 217-229). Berlin: Springer.

Fenker, D. B., Waldmann, M. R. & Holyoak, K. J. (2005). Accessing causal relations in semantic memory. Memory & Cognition, 33(6), 1036-1046.

Meder, B., Hagmayer, Y. & Waldmann, M. R. (2005). Doing after seeing. In B. G. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 1461-1466). Mahwah, New Jersey: Lawrence Erlbaum Associates.

Satpute, A. B., Fenker, D. B., Waldmann, M. R., Tabibnia, G., Holyoak, K. J. & Lieberman, M. D. (2005). An fMRI study of causal judgments. European Journal of Neuroscience, 22(5), 1233-1238.

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 KogWis 05. The German Cognitive Science Conference 2005. September 7th - 9th, Basel, Switzerland. Department of Psychology, University of Basel (pp. 195-200). Basel: Schwabe.

Waldmann, M. R. & Hagmayer, Y. (2005). Seeing versus doing: Two modes of accessing causal knowledge. Journal of Experimental Psychology - Learning, Memory, and Cognition, 31(2), 216-227.

Waldmann, M. R. & Walker, J. M. (2005). Competence and performance in causal learning. Learning & Behavior, 33(2), 211-229.

Hagmayer, Y. & Waldmann, M. R. (2004). Seeing the unobservable - Inferring the probability and impact of hidden causes. In K. Forbus, D. Gentner & T. Regier (Eds.), Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society, August 4-7, 2004, Chicago, Illinois (pp. 523-528). Mahwah, New Jersey: Lawrence Erlbaum Associates.

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.

Hagmayer, Y. & Waldmann, M. R. (2002). A constraint satisfaction model of causal learning and reasoning. In W. D. Gray & C. Schunn (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, August 7-10, 2002, George Mason University, Fairfax, Virginia (pp. 405-410). Mahwah, New Jersey: Lawrence Erlbaum Association.

Hagmayer, Y. & Waldmann, M. R. (2002). How temporal assumptions influence causal judgments. Memory & Cognition, 30(7), 1128-1137.

Hildebrandt, M. & Waldmann, M. R. (2002). Overshadowing beim kausalen Lernen. In D. Janetzko, M. Hildebrandt & H. A. Meyer (Hrsg.), Das Experimentalpsychologische Praktikum im Labor und WWW (S. 223-234). Göttingen: Hogrefe.

Waldmann, M. R. (2002). Kategorisierung und Wissenserwerb. In J. Müsseler & W. Prinz (Hrsg.), Lehrbuch Allgemeine Psychologie (S. 432-491). Heidelberg: Spektrum Verlag.

Waldmann, M. R. (2002). Experimente und kausale Theorien. In D. Janetzko, M. Hildebrandt & H. A. Meyer (Hrsg.), Das Experimentalpsychologische Praktikum im Labor und WWW (S. 13-42). Göttingen: Hogrefe.

Hagmayer, Y. & Waldmann, M. R. (2001). Testing complex causal hypotheses. In M. May & U. Oestermeier (Eds.), Interdisciplinary perspectives on causation (pp. 59-80). Bern: Bern Studies in the History and Philosophy of Science.

Waldmann, M. R. (2001). Predictive versus diagnostic causal learning: Evidence from an overshadowing paradigm. Psychonomic Bulletin & Review, 8(3), 600-608.

Waldmann, M. R. & Hagmayer, Y. (2001). Estimating causal strength: the role of structural knowledge and processing effort. Cognition, 82, 27-58.

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. August 13-15, 2000, Institute for Research in Cognitive Science, University of Pennsylvania, Philadelphia (pp. 214-219). Mahwah, New Jersey: Lawrence Erlbaum Associates.

Waldmann, M. R. (2000). Competition among causes but not effects in predictive and diagnostic learning. Journal of Experimental Psychology - Learning, Memory, and Cognition, 26(1), 53-76.

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 M. Hahn & S. C. Stoness (Eds.), Proceedings of the Twenty First Annual Conference of the Cognitive Science Society. August 19-21, 1999, Simon Fraser University, Vancouver, British Columbia (pp. 761-766). Mahwah: Lawrence Erlbaum.

Waldmann, M. R. (1998). Implizites und explizites Lernen im Alter. In F. E. Weinert & U. Geppert (Hrsg.), Genetisch orientierte Lebensspannenstudie zur differentiellen Entwicklung (GOLD). Erste Ergebnisse der Studie (S. 41-52). München: Max-Planck-Institut für Psychologische Forschung.

Waldmann, M. R. & Hagmayer, Y. (1998). Die kognitive Konstruktion von Kausalität. Dialektik - Enzyklopädische Zeitschrift für Philosophie und Wissenschaften, 101-114.

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. August 1-4, 1998, University of Wisconsin, Madison (pp. 1102-1107). Mahwah: Lawrence Erlbaum Associates.

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(2), 84-100.

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(1), 125-134.

Waldmann, M. R. (1996). Knowledge-based causal induction. In D. R. Shanks, D. L. Medin & K. J. Holyoak (Eds.), Causal learning (pp. 47-88). San Diego: Academic Press.

Waldmann, M. R. (1996). Kognitionspsychologische Theorien von Begabung und Expertise. In F. E. Weinert (Hrsg.), Psychologie des Lernens und der Instruktion (S. 445-476). Göttingen: Hogrefe.

Waldmann, M. R. (1996). Wissensgeleitetes Lernen. In J. Hoffmann & W. Kintsch (Hrsg.), Lernen (S. 321-353). Göttingen: Hogrefe.

Waldmann, M. R. & Hagmayer, Y. (1995). Causal paradox: When a cause simultaneously produces and prevents an effect. In J. D. Moore & J. F. Lehmann (Eds.), Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 425-430). Mahwah: Erlbaum.

Waldmann, M. R., Holyoak, K. J. & Fratianne, A. (1995). Causal models and the acquisition of category structure. Journal of Experimental Psychology - General, 124(2), 181-206.

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? Comment on Shanks (1991). Journal of Experimental Psychology - Learning, Memory, and Cognition, 19(6), 1398-1410.

Waldmann, M. R. & Holyoak, K. J. (1992). Predictive and diagnostic learning within causal models: Asymmetries in cue competition. Journal of Experimental Psychology - General, 121(2), 222-236.

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 (S. 590-593). Göttingen: Hogrefe Verlag für Psychologie.

Knopf, M. & Waldmann, M. R. (1991). Die Rolle von Ereignisschemata beim Lernen im Vorschulalter. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 23(3), 181-196.

Knopf, M. & Waldmann, M. R. (1990). Die Entwicklung itemspezifischer und relationaler Gedächtnisprozesse bei 4- und 6jährigen Kindern. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 22(1), 42-53.

Waldmann, M. R. & Holyoak, K. J. (1990). Can causal induction be reduced to associative learning? In W. D. Gray & C. D. Schunn (Eds.), Proceedings of the 12th Annual Conference of the Cognitive Science Society (pp. 190-197). Hillsdale, NJ: Erlbaum.

Waldmann, M. R. (1990). Schema und Gedächtnis. Das Zusammenwirken von Raum- und Ereignisschemata beim Gedächtnis für Alltagssituationen. Heidelberg: Asanger.

Waldmann, M. & Weinert, F. E. (1990). Intelligenz und Denken. Perspektiven der Hochbegabungsforschung. Göttingen: Hogrefe.

Waldmann, M. R. & Göttert, R. (1989). Response bias in below-chance performance: Computation of the parametric measure #b63. Psychological Bulletin, 106(2), 338-340.

Waldmann, M. R. (1988). Schema und Gedächtnis. Das Zusammenwirken von Raum- und Ereignisschemata beim Gedächtnis für Alltagssituationen. Dissertation, Universität, Fakultät Psychologie und Pädagogik, München.

Weinert, F. E. & Waldmann, M. R. (1988). Wissensentwicklung und Wissenserwerb. In H. Mandl & H. Spada (Hrsg.), Wissenspsychologie (S. 161-199). München: Psychologie Verlags Union.

Knopf, M. & Waldmann, M. R. (1987). Weak schemata and the development of memory in preschool children. Poster presented at the Second European Conference for Research, Learning and Instruction (EARLI), Tübingen, September 19-22, 1987. München: Max-Planck-Institut für Psychologische Forschung.

Weinert, F. E. & Waldmann, M. R. (1986). Das Denken Hochbegabter: Intellektuelle Fähigkeiten und kognitive Prozesse. In W. Wieczerkowski, H. Wagner, K.K. Urban & A. J. Cropley (Hrsg.), Hochbegabung - Gesellschaft - Schule (S. 104-124). Bonn: Bundesminister für Bildung und Wissenschaft.

Weinert, F. E. & Waldmann, M. R. (1986). How do the gifted think: Intellectual abilities and cognitive processes. In A. J. Cropley, K.K. , K.K. Urban, H. Wagner & W. Wieczerkowski (Eds.), Giftedness: A continuing worldwide challenge (pp. 49-64). New York: Trillium Press.

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Weinert, F. E. & Waldmann, M. R. (1985). Das Denken Hochbegabter - Intellektuelle Fähigkeiten und kognitive Prozesse. Zeitschrift für Pädagogik, 31(6), 789-804.

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