Publications

(2020). Similarities and differences in spatial and non-spatial cognitive maps. bioRxiv.

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(2018). Generalization guides human exploration in vast decision spaces. Nature Human Behaviour, 2, 915–924.

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(2018). Connecting conceptual and spatial search via a model of generalization. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp.1357-1362). Austin, TX: Cognitive Science Society.

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(2018). Beyond the confines of choice architecture: A critical analysis. Journal of Economic Psychology, 68, 36–44.

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(2018). Active function learning. In Kalish, C., Rau, M., Zhu, J., Rogers, T. T. (Eds.), Proceedings of the 40th Annual Meeting of the Cognitive Science Society (pp. 580–585). Austin, TX: Cognitive Science Society..

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(2017). Naïve and robust: Class-conditional independence in human classification learning. Cognitive Science, 1, 4–42.

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(2017). Moral hindsight. Experimental Psychology, 2, 110–123.

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(2017). Mapping the unknown: The spatially correlated multi-armed bandit. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp.1357-1362). Austin, TX: Cognitive Science Society..

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(2017). Heuristics: fast, frugal, and smart. In Morris Altman (Ed.), Handbook of behavioral economics and smart decision-making: Rational decision-making within the bounds of reason (pp. 101–118). Cheltenham: Edward Elgar Publishing..

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(2017). Diagnostic reasoning. In M. R. Waldmann (Ed.), Oxford handbook of causal reasoning. (pp. 433-458). New York: Oxford University Press..

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(2017). Diagnostic causal reasoning with verbal information. Cognitive Psychology, 96, 54–84.

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(2017). Asking better questions: How presentation formats influence information search. Journal of Experimental Psychology: Learning, Memory, and Cognition, 8, 1274–1297.

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(2016). Simple trees in complex forests: Growing Take The Best by approximate Bayesian computation. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.) Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 2531–2536). Austin, TX: Cognitive Science Society..

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(2015). Transitive reasoning distorts induction in causal chains. Memory & Cognition, 44, 469–487.

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(2014). Structure induction in diagnostic causal reasoning. Psychological Review, 3, 277–301.

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(2014). Statistical thinking: No one left behind. In E. J. Chernoff and B. Sriraman (Eds.), Probabilistic thinking: Presenting plural perspectives (pp. 127–148). Springer.

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(2014). Homo heuristicus in the financial world: From risk management to managing uncertainty. Journal of Risk Management in Financial Institutions, 2, 134–144.

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(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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(2014). Children's sequential information search is sensitive to environmental probabilities. Cognition, 1, 74–80.

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(2013). The assumption of class-conditional independence in category learning. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2650-2655). Austin, TX: Cognitive Science Society..

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(2013). Sequential diagnostic reasoning with verbal information. In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1014–1019). Austin, TX: Cognitive Science Society.

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(2013). Repeated causal decision making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 1, 33–50.

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(2012). Information search with situation-specific reward functions. Judgment and Decision Making, 2, 119–148.

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(2010). The tight coupling between category and causal learning. Cognitive Processing, 2, 143–158.

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(2010). Spontaneous causal learning while controlling a dynamic system. The Open Psychology Journal, 3, 145–162,.

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(2010). Observing and intervening: Rational and heuristic models of causal decision making. The Open Psychology Journal, 3, 119–135.

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(2010). How causal reasoning can bias empirical evidence. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2087–2092). Austin, TX: Cognitive Science Society..

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(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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(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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(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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(2008). Inferring interventional predictions from observational learning data. Psychonomic Bulletin & Review, 1, 75–80.

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(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). Austin, TX: Cognitive Science Society..

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(2006). Seeing versus doing: Causal Bayes nets as psychological models of causal reasoning. Unpublished doctoral dissertation, University of Göttingen.

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(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.

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