Publikationen 2
2022
                                    - Engelmann, N. & Waldmann, M. (2022). How causal structure, causal strength, and foreseeability affect moral judgments. Cognition, 226, 105167.
 - Engelmann, N. & Waldmann, M. (2022). How to weigh lives. A computational model of moral judgment in multiple-outcome structures. Cognition, 218, 104910.
 - Stephan, S. & Waldmann, M. (2022). The role of mechanism knowledge in singular causation judgments. Cognition, 218, 104924.
 
2021
                                    - Engelmann, N. & Waldmann, M. (2021). A causal proximity effect in moral judgment. (). : .
 - Krueger, J., Hahn, U., Ellerbrock, D., Gächter, S., Hertwig, R., Kornhauser, L., ... Waldmann, M. (2021). Normative implications of deliberate ignorance. In R. Hertwig & C. Engel, (pp. 242-271). : MIT Press.
 - Skovgaard-Olsen, N., Stephan, S. & Waldmann, M. (2021). Conditionals and the hierarchy of causal queries. Journal of Experimental Psychology: General, 1.
 - Stephan, S. & Waldmann, M. (2021). The interplay between covariation, temporal, and mechanism information in singular causation judgments.
 - Stephan, S., Plac\`\i, S. & Waldmann, M. (2021). Evaluating General versus Singular Causal Prevention.
 - Stephan, S., Tentori, K., Pighin, S. & Waldmann, M. (2021). Interpolating causal mechanisms: The paradox of knowing more. Journal of Experimental Psychology: General.
 - Waldmann, M. (2021). The rationality of everyday causal cognition. In M. Knauff & W. Spohn, The handbook of rationality. (pp. 439-448). None: MIT Press.
 
2020
                                    - Stephan, S. & Waldmann, M. (2020). Causal scope and causal strength: The number of potential effects of a cause influences causal strength estimates. --. (pp. 3426 - 3432). None: Austin, TX: Cognitive Science Society.
 - Stephan, S. & Waldmann, M. (2020). On causal claims, contingencies, and inference: How causal terminology affects what we think about the strength of causal links. (pp. 3419 - 3425). : Austin, TX: Cognitive Science Society.
 - Stephan, S., Mayrhofer, R. & Waldmann, M. (2020). Time and Singular Causation—A Computational Model. Cognitive Science, 44(7), e12871.
 
2019
                                    
                                2018
                                    - 
  
	
	  Stephan, S. &  Waldmann, M.
	  (2018).
	  Preemption in singular causation judgments: A computational model.
	  Topics in Cognitive Science, 
	  10, 
	  242-257.
	  
	
  
  
	
	  
		
	  
	
 - Stephan, S., Mayrhofer, R. & Waldmann, M. (2018). Assessing singular causation: The role of causal latencies. In T.T. Rogers, M. Rau, X. Zhu, & C. W. Kalish (Eds.), (pp. 1080-1085). : Cognitive Science Society.
 
2017
                                    - 
  
	
	  Beller, S., Bender, A. &  Waldmann, M.
	  (2017).
	  Editorial: Diversity and Universality in Causal Cognition.
	  Frontiers in Psychology, 
	  8, 
	  1767.
	  
		https://dx.doi.org/10.3389/fpsyg.2017.01767.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Rehder, B. &  Waldmann, M.
	  (2017).
	  Failures of explaining away and screening off in described versus experienced causal learning scenarios.
	  Memory & Cognition, 
	  45(2), 
	  245-260.
	  
		https://dx.doi.org/10.3758/s13421-016-0662-3,  ISSN: 0090-502X.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Stephan, S. &  Waldmann, M.
	  (2017).
	  Preemption in Singular Causation Judgments: A Computational Model.
	  In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), 
	  
	  
	  (). : Cognitive Science Society . (Computational Modeling: Higher Level Cognition Award of the Cognitive Science Society).
	  
	
  
	
	  
		
	  
	
 - Waldmann, M. (2017). The Oxford handbook of causal reasoning.
 - Waldmann, M. (2017). Kategorisierung und Wissenserwerb (PSYNDEXshort). (Kategorisierung und Wissenserwerb (PSYNDEXshort), pp. 357-399). : Springer. ISBN: 978-3-642-53897-1.
 - 
  
  
	
	  Waldmann, M., Wiegmann, A. &  Nagel, J.
	  (2017).
	  Causal models mediate moral inferences.
	  In J.-F. Bonnefort & B. Trémolière (Eds.), 
	  
	  
	  (pp. 37-55). : Routledge/Taylor & Francis Group.
	  
	
  
	
	  
		
	  
	
 
2016
                                    - 
  
	
	  Dwyer, D. &  Waldmann, M.
	  (2016).
	  Beyond the Information (Not) Given: Representations of Stimulus Absence in Rats (Rattus norvegicus).
	  Comparative Psychologie, 
	  130(3), 
	  192-204.
	  
		https://dx.doi.org/10.1037/a0039733.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Mayrhofer, R. &  Waldmann, M.
	  (2016).
	  Sufficiency and necessity assumptions in causal structure induction.
	  Cognitive Science, 
	  40(8), 
	  2137-2150.
	  
		https://dx.doi.org/10.1111/cogs.12318,  ISSN: 0364-0213.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Mayrhofer, R. &  Waldmann, M.
	  (2016).
	  Causal agency and the perception of force.
	  Psychonomic Bulletin & Review, 
	  23(3), 
	  789-796.
	  
		https://dx.doi.org/10.3758/s13423-015-0960-y,  ISSN: 1069-9384.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Nagel, J. &  Waldmann, M.
	  (2016).
	  On having very long arms: How the availability of technological means affects moral cognition.
	  Thinking & Reasoning, 
	  22(2), 
	  184-208.
	  
		https://dx.doi.org/10.1080/13546783.2015.1114023,  ISSN: 1354-6783.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Powell, D., Cheng, P. &  Waldmann, M.
	  (2016).
	  How should autonomous vehicles behave in moral dilemmas? Human judgments reflect abstract moral principles.
	  
	  
	  
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Samland, J., Josephs, M., Waldmann, M. &  Rakoczy, H.
	  (2016).
	  The role of prescriptive norms and knowledge in childrenʼs and adultsʼ causal selection.
	  Journal of Experimental Psychology: General, 
	  145(2), 
	  125-130.
	  
		https://dx.doi.org/10.1037/xge0000138,  ISSN: 0096-3445.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Samland, J. &  Waldmann, M.
	  (2016).
	  How prescriptive norms influence causal inferences.
	  Cognition, 
	  156, 
	  164-176.
	  
		https://dx.doi.org/10.1016/j.cognition.2016.07.007,  ISSN: 0010-0277.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Stephan, S. &  Waldmann, M.
	  (2016).
	  Answering Causal Queries about Singular Cases.
	  In A. Papafragou, D. Grodner, D. Mirman, & J.C. Trueswell (Eds.), 
	  
	  
	  (pp. 2795-2801). : Cognitive Science Society.
	  
	
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M. R. &  Mayrhofer, R.
	  (2016).
	  Hybrid causal representations.
	  In B. Ross (Ed.), 
	  The Psychology of Learning and Motivation.
	  
	  (pp. 85-127). New York: Academic Press.
	  
		ISBN: 978-0-12-804790-3.
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Wiegmann, A., Samland, J. &  Waldmann, M.
	  (2016).
	  Lying despite telling the truth.
	  Cognition, 
	  150, 
	  37-42.
	  
	
  
  
	
	  
		
	  
	
 
2015
                                    - 
  
	
	  Mayrhofer, R. &  Waldmann, M.
	  (2015).
	  Agents and causes: Dispositional intuitions as a guide to causal structure.
	  Cognitive Science, 
	  39(1), 
	  65-95.
	  
		https://dx.doi.org/10.1111/cogs.12132,  ISSN: 0364-0213.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Rakoczy, H., Behne, T., Clüver, A., Dallmann, S., Weidner, S., Waldmann, M., ... Waldmann, M.
	  (2015).
	  The side-effect effect in children is robust and not specific to the moral status of action effects.
	  PLoS ONE, 
	  10(7), 
	  ee0132933-ee0132933.
	  
		ISSN: 1932-6203.
	  
	
  
  
	
	  
		
	  
	
 
2014
                                    - 
  
	
	  Mayrhofer, R. &  Waldmann, M.
	  (2014).
	  Indicators of causal agency in physical interactions: The role of the prior context.
	  Cognition, 
	  132(3), 
	  485-490.
	  
		https://dx.doi.org/10.1016/j.cognition.2014.05.013,  ISSN: 0010-0277.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Meder, B., Mayrhofer, R. &  Waldmann, M.
	  (2014).
	  Structure induction in diagnostic causal reasoning.
	  Psychological Review, 
	  121(3), 
	  277-301.
	  
		https://dx.doi.org/10.1037/a0035944,  ISSN: 0033-295X.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Samland, J. &  Waldmann, M.
	  (2014).
	  Do Social Norms Influence Causal Inferences?.
	  
	  
	  
	  (). : .
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Wiegmann, A. &  Waldmann, M.
	  (2014).
	  Transfer effects between moral dilemmas: A causal model theory.
	  Cognition, 
	  131(1), 
	  28-43.
	  
	
  
  
	
	  
		
	  
	
 
2013
                                    - Mayrhofer, R. & Waldmann, M. R. (2013). Agency intuitions in physical interactions. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society. (pp. 996-1001). Austin, TX: Cognitive Science Society. ISBN: 978-0-97-683189-1.
 - Nagel, J. & Waldmann, M. (2013). Spatial distance, availability of means, and moral obligation judgments (PSYNDEXshort). (Spatial distance, availability of means, and moral obligation judgments (PSYNDEXshort), pp. 3127-3132). : Cognitive Science Society. ISBN: 978-0-97-683189-1.
 - 
  
	
	  Nagel, J. &  Waldmann, M.
	  (2013).
	  Deconfounding distance effects in judgments of moral obligation.
	  Journal of Experimental Psychology: Learning, Memory, and Cognition, 
	  39(1), 
	  237-252.
	  
		https://dx.doi.org/10.1037/a0028641,  ISSN: 0278-7393.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Schloegl, C., Waldmann, M. &  Fischer, J.
	  (2013).
	  Understanding of and reasoning about object–object relationships in long-tailed macaques?.
	  Animal Cognition, 
	  16(3), 
	  493-507.
	  
		https://dx.doi.org/10.1007/s10071-012-0591-x,  ISSN: 1435-9448.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M. &  Hagmayer, Y.
	  (2013).
	  Causal reasoning.
	  In Reisberg, Daniel and Reisberg, Daniel (Ed), 
	  
	  
	  (Causal reasoning., pp. 733-752). : Oxford University Press.
	  
		ISBN: 0-19-537674-9.
	  
	
  
	
	  
		
	  
	
 
2012
                                    - 
  
  
	
	  Blaisdell, A. &  Waldmann, M.
	  (2012).
	  Rational rats: Causal inference and representation.
	  In Zentall, Thomas R. and Wasserman, Edward A. and Zentall, Thomas R.  (Ed) and Wasserman, Edward A.  (Ed), 
	  
	  
	  (Rational rats: Causal inference and representation., pp. 175-198). : Oxford University Press.
	  
		ISBN: 978-0-19-539266-1.
	  
	
  
	
	  
		
	  
	
 - Dhami, M., Schlottmann, A., Waldmann, M., Shanteau, J., Wallsten, T., Fischhoff, B., ... Birnbaum, M. (2012). Perspectives on judgment and decision making as a skill. In Dhami, Mandeep K. and Schlottmann, Anne and Waldmann, Michael R. and Dhami, Mandeep K. (Ed) and Schlottmann, Anne (Ed) and Waldmann, Michael R. (Ed), (Perspectives on judgment and decision making as a skill., pp. 291-306). : Cambridge University Press. ISBN: 978-0-521-76781-1.
 - Dhami, M., Schlottmann, A. & Waldmann, M. (2012). Judgment and decision making as a skill: Learning, development and evolution. ISBN: 978-0-521-76781-1.
 - 
  
	
	  Lewandowsky, S., Palmeri, T. &  Waldmann, M.
	  (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.
	  
		https://dx.doi.org/10.1037/a0028943,  ISSN: 0278-7393.
	  
	
  
  
	
	  
		
	  
	
 - Nagel, J. & Waldmann, M. (2012). Force dynamics as a basis for moral intuitions (PSYNDEXshort). (Force dynamics as a basis for moral intuitions (PSYNDEXshort), pp. 785-790). : Cognitive Science Society. ISBN: 978-0-97-683188-4.
 - Waldmann, M. & 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.), (pp. 1102–1107). : Cognitive Science Society.
 - 
  
	
	  Waldmann, M., Schmid, M., Wong, J. &  Blaisdell, A.
	  (2012).
	  Rats distinguish between absence of events and lack of evidence in contingency learning.
	  Animal Cognition, 
	  15(5), 
	  979-990.
	  
		https://dx.doi.org/10.1007/s10071-012-0524-8,  ISSN: 1435-9448.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M., Nagel, J. &  Wiegmann, A.
	  (2012).
	  Moral judgment.
	  In K. J. Holyoak & R. G. Morrison (Eds.), 
	  
	  
	  (pp. 364-389). : Oxford University Press.
	  
	
  
	
	  
		
	  
	
 
2011
                                    - 
  
	
	  Hagmayer, Y., Meder, B., von Sydow, M. &  Waldmann, M.
	  (2011).
	  Category transfer in sequential causal learning: The unbroken mechanism hypothesis.
	  Cognitive Science, 
	  35(5), 
	  842-873.
	  
		https://dx.doi.org/10.1111/j.1551-6709.2011.01179.x,  ISSN: 0364-0213.
	  
	
  
  
	
	  
		
	  
	
 - Mayrhofer, R. & Waldmann, M. (2011). Heuristics in covariation-based induction of causal models: Sufficiency and necessity priors. In L. Carlson, C. Hölscher & T. Shipley (Eds.), (pp. 3110-3115). : Cognitive Science Society.
 - 
  
	
	  Waldmann, M.
	  (2011).
	  Neurath's ship: The constitutive relation between normative and descriptive theories of rationality.
	  Behavioral and Brain Sciences, 
	  34(5), 
	  273-274.
	  
		https://dx.doi.org/10.1017/S0140525X11000586,  ISSN: 0140-525X.
	  
	
  
  
	
	  
		
	  
	
 
2010
                                    - Fenker, D., Schoenfeld, M., Waldmann, M., Schuetze, H., Heinze, H.-J., Duezel, E., ... Duezel, E. (2010). ``Virus and Epidemic'': Causal Knowledge Activates Prediction Error Circuitry. Journal of Cognitive Neuroscience, 22(10), 2251-2163. ISSN: 0898929X.
 - 
  
  
	
	  Mayrhofer, R., Hagmayer, Y. &  Waldmann, M.
	  (2010).
	  Agents and causes: A Bayesian error attribution model of causal reasoning.
	  In S. Ohlsson & R. Catrambone (Eds.), 
	  
	  
	  (pp. 925-930). : Cognitive Science Society.
	  
	
  
	
	  
		
	  
	
 - 
  
  
	
	  Mayrhofer, R., Nagel, J. &  Waldmann, M.
	  (2010).
	  The role of causal schemas in inductive reasoning.
	  In S. Ohlsson & R. Catrambone (Eds.), 
	  
	  
	  (pp. 1082-1087). : Cognitive Science Society.
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Meder, B., Gerstenberg, T., Hagmayer, Y. &  Waldmann, M.
	  (2010).
	  Observing and intervening: Rational and heuristic models of causal decision making.
	  The Open Psychology Journal, 
	  3.
	  
	  
		https://dx.doi.org/10.2174/1874350101003020119,  ISSN: 1874-3501.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M. &  Wiegmann, A.
	  (2010).
	  A double causal contrast theory of moral intuitions in trolley dilemmas.
	  In In S. Ohlsson & R. Catrambone (Eds.), 
	  
	  
	  (pp. 2589–2594). : .
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M., Meder, B., von Sydow, M. &  Hagmayer, Y.
	  (2010).
	  The tight coupling between category and causal learning.
	  Cognitive Processing, 
	  11(2), 
	  143-158.
	  
		https://dx.doi.org/10.1007/s10339-009-0267-x,  ISSN: 1612-4782.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M.
	  (2010).
	  Causal thinking.
	  In Glatzeder, Britt, Goel, Vinod, von Müller, Albrecht (Eds.), 
	  
	  
	  (Causal thinking, pp. 123-134). : Springer.
	  
		ISBN: 978-3-642-03128-1.
	  
	
  
	
	  
		
	  
	
 
2009
                                    - 
  
	
	  Blaisdell, A., Leising, K., Stahlman, W. &  Waldmann, M.
	  (2009).
	  Rats Distinguish Between Absence of Events and Lack of Information in Sensory Preconditioning.
	  International Journal of Comparative Psychology, 
	  22(1), 
	  1-18.
	  
		ISSN: 08893667.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Blaisdell, A., Leising, K., Stahlman, W. &  Waldmann, M.
	  (2009).
	  Rats distinguish between absence of events and lack of information in sensory preconditioning (PSYNDEXshort).
	  International Journal of Comparative Psychology, 
	  22(1), 
	  1-18.
	  
		ISSN: 0020-7152.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  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.), 
	  Do Voters Use Episodic Knowledge to Rely on Recognition?.
	  
	  (pp. 691-696). Austin, TX: Cognitive Science Society.
	  
		ISBN: 978-0-9768318-5-3.
	  
	
  
	
	  
		
	  
	
 - 
  
  
	
	  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 31st Annual Conference of the Cognitive Science Society.
	  
	  (pp. 2176-2181). Austin, TX: Cognitive Science Society.
	  
		ISBN: 978-0-9768318-5-3.
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Meder, B., Hagmayer, Y. &  Waldmann, M.
	  (2009).
	  The role of learning data in causal reasoning about observations and interventions.
	  Memory & Cognition, 
	  37(3), 
	  249-264.
	  
		https://dx.doi.org/10.3758/MC.37.3.249,  ISSN: 0090-502X.
	  
	
  
  
	
	  
		
	  
	
 
2008
                                    - 
  
	
	  Leising, K., Wong, J., Waldmann, M. &  Blaisdell, A.
	  (2008).
	  The special status of actions in causal reasoning in rats.
	  Journal of Experimental Psychology: General, 
	  137(3), 
	  514-527.
	  
		https://dx.doi.org/10.1037/0096-3445.137.3.514,  ISSN: 0096-3445.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Mayrhofer, R., Goodman, N. D., Waldmann, M. R. &  Tenenbaum, J. B.
	  (2008).
	  Structured correlation from the causal background (PSYNDEXshort).
	  In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), 
	  Proceedings of the 30th Annual Conference of the Cognitive Science Society.
	  
	  (pp. 303-308). Austin, TX: Cognitive Science Society.
	  
		ISBN: 978-0-9768318-4-6.
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Meder, B., Hagmayer, Y. &  Waldmann, M.
	  (2008).
	  Inferring interventional predictions from observational learning data.
	  Psychonomic Bulletin & Review, 
	  15(1), 
	  75-80.
	  
		https://dx.doi.org/10.3758/PBR.15.1.75.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Reips, U.-D. &  Waldmann, M.
	  (2008).
	  When learning order affects sensitivity to base rates: Challenges for theories of causal learning.
	  Experimental Psychology, 
	  55(1), 
	  9-22.
	  
		https://dx.doi.org/10.1027/1618-3169.55.1.9,  ISSN: 1618-3169.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M., Cheng, P., Hagmayer, Y. &  Blaisdell, A.
	  (2008).
	  Causal learning in rats and humans: A minimal rational model (PSYNDEXshort).
	  In Oxford University Press, 
	  
	  
	  (Causal learning in rats and humans: A minimal rational model (PSYNDEXshort), pp. 453-484). : Oxford University Press.
	  
		ISBN: 978-0-1992-1609-3.
	  
	
  
	
	  
		
	  
	
 
2007
                                    - 
  
	
	  Hagmayer, Y., Sloman, S., Lagnado, D. &  Waldmann, M.
	  (2007).
	  Causal reasoning through intervention.
	  Causal learning: Psychology, philosophy, and computation.
	  
	  86-100.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Hagmayer, Y. &  Waldmann, M.
	  (2007).
	  Inferences about unobserved causes in human contingency learning.
	  The Quarterly Journal of Experimental Psychology, 
	  60(3), 
	  330-355.
	  
		https://dx.doi.org/10.1080/17470210601002470.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Hagmayer, Y. &  Waldmann, M.
	  (2007).
	  Zur Rolle von Mechanismen beim kausalen Lernen und Denken.
	  
	  
	  
	  (Zur Rolle von Mechanismen beim kausalen Lernen und Denken, pp. 41-58). : mentis.
	  
		ISBN: 978-3-89785-593-9.
	  
	
  
	
	  
		
	  
	
 - 
  
  
	
	  Lagnado, D., Waldmann, M., Hagmayer, Y. &  Sloman, S.
	  (2007).
	  Beyond covariation: Cues to causal structure.
	  In Gopnik, Alison and Schulz, Laura and Gopnik, Alison (Ed) and Schulz, Laura (Ed), 
	  
	  
	  (Beyond covariation: Cues to causal structure., pp. 154-172). : Oxford University Press.
	  
		ISBN: 0-19-517680-4.
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M.
	  (2007).
	  Combining versus analyzing multiple causes: How domain assumptions and task context affect integration rules.
	  Cognitive Science, 
	  31(2), 
	  233-256.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M. &  Dieterich, J.
	  (2007).
	  Throwing a Bomb on a Person Versus Throwing a Person on a Bomb: Intervention Myopia in Moral Intuitions.
	  Psychological Science (0956-7976), 
	  18(3), 
	  247-253.
	  
		ISSN: 09567976.
	  
	
  
  
	
	  
		
	  
	
 
2006
                                    - 
  
	
	  Blaisdell, A., Sawa, K., Leising, K. &  Waldmann, M.
	  (2006).
	  Causal Reasoning in Rats.
	  Science, 
	  311(5763), 
	  1020-1022.
	  
		https://dx.doi.org/10.1126/science.1121872,  ISSN: 0036-8075.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Hagmayer, Y. &  Waldmann, M.
	  (2006).
	  Kausales Denken.
	  In Hogrefe, 
	  
	  
	  (Kausales Denken, pp. 87-166). : Hogrefe.
	  
		ISBN: 3-8017-0527-7.
	  
	
  
	
	  
		
	  
	
 - Meder, B., Hagmayer, Y. & Waldmann, M. (2006). Understanding the causal logic of confounds. (pp. 579-584). : .
 - 
  
	
	  Meder, B., Hagmayer, Y. &  Waldmann, M.
	  (2006).
	  Understanding the causal logic of confounds.
	  Cognitive Science Society.
	  
	  579-584.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M. &  Hagmayer, Y.
	  (2006).
	  Categories and causality: The neglected direction.
	  Cognitive Psychology, 
	  53(1), 
	  27-58.
	  
		https://dx.doi.org/10.1016/j.cogpsych.2006.01.001.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M. &  von Sydow, M.
	  (2006).
	  Wissensbildung, Problemlösen und Denken (PSYNDEXshort).
	  In Springer Medizin-Verl, 
	  
	  
	  (Wissensbildung, Problemlösen und Denken (PSYNDEXshort), pp. 217-229). : Springer.
	  
		ISBN: 978-3-540-22178-4.
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M., Hagmayer, Y. &  Blaisdell, A.
	  (2006).
	  Beyond the Information Given: Causal Models in Learning and Reasoning.
	  Current Directions in Psychological Science, 
	  15(6), 
	  307-311.
	  
		https://dx.doi.org/10.1111/j.1467-8721.2006.00458.x,  ISSN: 09637214.
	  
	
  
  
	
	  
		
	  
	
 - Waldmann, M. (2006). A Case for the Moral Organ?. Science, 314(5796), 57-58. ISSN: 00368075.
 
2005
                                    - 
  
	
	  Fenker, D., Waldmann, M. &  Holyoak, K.
	  (2005).
	  Accessing causal relations in semantic memory.
	  Memory & Cognition, 
	  33(6), 
	  1036-1046.
	  
		https://dx.doi.org/10.3758/BF03193211,  ISSN: 0090-502X.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Hagmayer, Y., Meder, B. &  Waldmann, M.
	  (2005).
	  Doing After Seeing.
	  
	  
	  
	  (pp. 1461-1466). : .
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Satpute, A., Fenker, D., Waldmann, M., Tabibnia, G., Holyoak, K., Lieberman, M., ... Lieberman, M.
	  (2005).
	  An fMRI study of causal judgments.
	  European Journal of Neuroscience, 
	  22(5), 
	  1233-1238.
	  
		ISSN: 0953816X.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M. &  Hagmayer, Y.
	  (2005).
	  Seeing Versus Doing: Two Modes of Accessing Causal Knowledge.
	  Journal of Experimental Psychology: Learning, Memory, and Cognition, 
	  31(2), 
	  216-227.
	  
		https://dx.doi.org/10.1037/0278-7393.31.2.216,  ISSN: 0278-7393.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M. &  Walker, J.
	  (2005).
	  Competence and performance in causal learning.
	  Learning & Behavior, 
	  33(2), 
	  211-229.
	  
		https://dx.doi.org/10.3758/BF03196064,  ISSN: 1543-4494.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  von Sydow, M., Hagmayer, Y., Metzner, N. &  Waldmann, M.
	  (2005).
	  Cooperation detection and deontic reasoning in the Wason selection task.
	  In  , 
	  
	  
	  (Cooperation detection and deontic reasoning in the Wason selection task, pp. 195-200). : Schwabe.
	  
		ISBN: 3-7965-2195-9.
	  
	
  
	
	  
		
	  
	
 
2002
                                    - 
  
	
	  Hagmayer, Y. &  Waldmann, M.
	  (2002).
	  How temporal assumptions influence causal judgments.
	  Memory & Cognition, 
	  30(7), 
	  1128-1137.
	  
	
  
  
	
	  
		
	  
	
 - 
  
  
	
	  Hildebrandt, M. &  Waldmann, M.
	  (2002).
	  Overshadowing beim kausalen Lernen.
	  In Hogrefe, 
	  
	  
	  (Overshadowing beim kausalen Lernen, pp. 223-234). : Hogrefe.
	  
		ISBN: 3-8017-1427-6.
	  
	
  
	
	  
		
	  
	
 - 
  
  
	
	  Waldmann, M.
	  (2002).
	  Experimente und kausale Theorien.
	  In Hogrefe, 
	  
	  
	  (Experimente und kausale Theorien, pp. 13-42). : Hogrefe.
	  
		ISBN: 3-8017-1427-6.
	  
	
  
	
	  
		
	  
	
 
2001
                                    - Hagmayer, Y. & Waldmann, M. (2001). Testing complex causal hypotheses. (Testing complex causal hypotheses, pp. 59-80). : Bern Studies in the History and Philosophy of Science. ISBN: 3-8311-2162-1.
 - 
  
	
	  Waldmann, M.
	  (2001).
	  Predictive versus diagnostic causal learning: Evidence from an overshadowing paradigm.
	  Psychonomic Bulletin & Review, 
	  8(3), 
	  600-608.
	  
	
  
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M. &  Hagmayer, Y.
	  (2001).
	  Estimating causal strength: The role of structural knowledge and processing effort.
	  Cognition, 
	  82(1), 
	  27-58.
	  
		https://dx.doi.org/10.1016/S0010-0277(01)00141-X,  ISSN: 0010-0277.
	  
	
  
  
	
	  
		
	  
	
 
2000
                                    - 
  
  
	
	  Hagmayer, Y. &  Waldmann, M.
	  (2000).
	  Simulating causal models: The way to structural sensitivity.
	  
	  
	  
	  (pp. 214-219). : .
	  
	
  
	
	  
		
	  
	
 - 
  
	
	  Waldmann, M.
	  (2000).
	  Competition among causes but not effects in predictive and diagnostic learning.
	  Journal of Experimental Psychology: Learning, Memory, and Cognition, 
	  26(1), 
	  53-76.
	  
		https://dx.doi.org/ 10.1037//0278-7393.26.1.53.