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Björn Meder

© private
Researcher
Max Planck Research Group iSearch - Information Search, Ecological and Active Learning Research with Children

+49 30 82406-239
meder [at] mpib-berlin [dot] mpg [dot] de
231

Short CV: 

Diploma(M. Sc.) in Psychology, 2003, University of Göttingen
PhD in Psychology, 2006, University of Göttingen

Personal homepage:

http://abc-webstudy.mpib-berlin.mpg.de/meder/

CV:

http://abc-webstudy.mpib-berlin.mpg.de/meder/CV_meder.pdf

Research Interests: 
  • Causal cognition
  • Information search
  • Categorization and inductive learning
  • Judgment and decision making
  • Bounded rationality and heuristics
  • Cognitive Modeling

Selected Literature: 

Meder, B. & Mayrhofer, R. (2017). Diagnostic causal reasoning with verbal information. Cognitive Psychology, 96, 54-84.

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

Meder, B., Le Lec, F., & Osman, M. (2013). Decision making in uncertain times: what can cognitive and decision sciences say about or learn from economic crises? Trends in Cognitive Sciences, 17, 257-260.

Meder, B., & Nelson, J. D. (2012). Information search with situation-specific reward functions. Judgment and Decision Making, 7, 119-148.

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.

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

open all Curriculum Vitae

zuklappen Publications

Fleischhut, N., Meder, B., & Gigerenzer, G. (2017). Moral hindsight. Experimental Psychology, 64, 110-123. doi:10.1027/1618-3169/a000353
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Jarecki, J., Meder, B., & Nelson, J. D. (2017). Naïve and robust: Class-conditional independence in human classification learning. Cognitive Science. Advance online publication. doi:10.1111/cogs.12496
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Krisam, M., Von Philipsborn, P., & Meder, B. (2017). Nudging in der Primärprävention: Eine Übersicht und Perspektiven für Deutschland. Gesundheitswesen, 79, 117-123. doi:10.1055/s-0042-121598
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Meder, B., & Mayrhofer, R. (2017). Diagnostic causal reasoning with verbal information. Cognitive Psychology, 96, 54-84. doi:10.1016/j.cogpsych.2017.05.002
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Meder, B., & Mayrhofer, R. (2017). Diagnostic reasoning. In M. R. Waldmann (Ed.), Oxford handbook of causal reasoning (pp. 433-457). Oxford: Oxford University Press.

Mousavi, S., Meder, B., Neth, H., & Kheirandish, R. (2017). Heuristics: Fast, frugal, and smart. In M. Altman (Ed.), Handbook of behavioral economics and smart decision-making: Rational decision-making within the bounds of reason (pp. 101-118). Cheltenham: Edward Elgar.

Wu, C. M., Meder, B., Filimon, F., & Nelson, J. D. (2017). Asking better questions: How presentation formats guide information search. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43, 1274-1297. doi:10.1037/xlm0000374
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Schulz, E., Speekenbrink, M., & Meder, B. (2016). Simple trees in complex forests: Growing take the best by approximate bayesian computation. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 2531-2536). Austin, TX: Cognitive Science Society.
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Sydow, M. v., Hagmayer, Y., & Meder, B. (2016). Transitive reasoning distorts induction in causal chains. Memory & Cognition, 44, 469-487. doi:10.3758/s13421-015-0568-5
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Bodemer, N., Meder, B., & Gigerenzer, G. (2014). Communicating relative risk changes with baseline risk: Presentation format and numeracy matter. Medical Decision Making, 34, 615-626. doi:10.1177/0272989X14526305
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Meder, B., & Gigerenzer, G. (2014). Statistical thinking: No one left behind. In E. J. Chernoff & B. Sriraman (Eds.), Probabilistic thinking: Presenting plural perspectives (Advances in Mathematics Education) (pp. 127-148). Dordrecht: Springer.

Meder, B., Mayrhofer, R., & Waldmann, M. R. (2014). Structure induction in diagnostic causal reasoning. Psychological Review, 121, 277-301. doi:10.1037/a0035944
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Morais, A. S., Schooler, L. J., Olsson, H., & Meder, B. (2014). From causal models to sound heuristic inference. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1036-1041). Austin, TX: Cognitive Science Society.
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Nelson, J. D., Divjak, B., Gudmundsdottir, G., Martignon, L., & Meder, B. (2014). Children's sequential information search is sensitive to environmental probabilities. Cognition, 130, 74-80. doi:10.1016/j.cognition.2013.09.007
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Neth, H., Meder, B., Kothiyal, A., & Gigerenzer, G. (2014). Homo Heuristicus in the financial world: From risk management to managing uncertainty. Journal of Risk Management in Financial Institutions, 7, 134-144.
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Hagmayer, Y., & Meder, B. (2013). Repeated causal decision making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 33-50. doi:10.1037/a0028643
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Jarecki, J., Meder, B., & Nelson, J. D. (2013). The assumption of class-conditional independence in category learning. 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. 2650-2655). Austin, TX: Cognitive Science Society.
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Markant, D., Gureckis, T., Meder, B., Nelson, J. D., Pirolli, P., & Yu, C. (2013). Informavores: Active information foraging and human cognition. 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. 93-94). Austin, TX: Cognitive Science Society.
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Meder, B., Le Lec, F., & Osman, M. (2013). Decision making in uncertain times: What can cognitive and decision sciences say about or learn from economic crises? Trends in Cognitive Sciences, 17, 257-260. doi:10.1016/j.tics.2013.04.008
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Meder, B., & Mayrhofer, R. (2013). Sequential diagnostic reasoning with verbal information. 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. 1014-1019). Austin, TX: Cognitive Science Society.
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Meder, B., & Nelson, J. D. (2012). Information search with situation-specific reward functions. Judgment and Decision Making, 7, 119-148.
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Osman, M., Meder, B., Gigerenzer, G., Chater, N., Read, D., & Neth, H. (2012). What can cognitive science say or learn about economic crises? In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Building bridges across cognitive sciences around the world: Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 48-49). Austin, TX: Cognitive Science Society.
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Hagmayer, Y., Meder, B., Sydow, M. v., & Waldmann, M. R. (2011). Category transfer in sequential causal learning: The unbroken mechanism hypothesis. Cognitive Science, 35, 842-873. doi:10.1111/j.1551-6709.2011.01179.x
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Hagmayer, Y., Meder, B., Osman, M., Mangold, S., & Lagnado, D. (2010). Spontaneous causal learning while controlling a dynamic system. The Open Psychology Journal, 3, 145-162. doi:10.2174/1874350101003010145
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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. doi:10.2174/1874350101003010119
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Sydow, M. v., 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 Meeting of the Cognitive Science Society (pp. 2087-2092). Austin, TX: Cognitive Science Society.
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Waldmann, M. R., Meder, B., Sydow, M. v., & Hagmayer, Y. (2010). The tight coupling between category and causal learning. Cognitive Processing, 11, 143-158. doi:10.1007/s10339-009-0267-x
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Meder, B., & Hagmayer, Y. (2009). Causal induction enables adaptive decision making. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1651-1656). Austin, TX: Cognitive Science Society.
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Meder, B., Mayrhofer, R., & Waldmann, M. R. (2009). A rational model of elemental diagnostic inference. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 2176-2181). Austin, TX: Cognitive Science Society.
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Sydow, M. v., Meder, B., & Hagmayer, Y. (2009). A transitivity heuristic of probabilistic causal reasoning. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 803-808). Austin, TX: Cognitive Science Society.
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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.

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). Cognitive Science Society.

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

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 (pp. 579-584). Mahwah, NJ: Erlbaum.

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, NJ: Erlbaum.