Marcus Buckmann

Assoziierter Wissenschaftler
Emeritusarbeitsplatz Gigerenzer

buckmann [at] mpib-berlin [dot] mpg [dot] de

Alle aufklappen Curriculum Vitae

zuklappen Publikationen

Katsikopoulos, K., Șimșek, Ö., Buckmann, M., & Gigerenzer, G. (in press). Classification in the wild. Cambridge, MA: MIT Press.

Șimșek, Ö., & Buckmann, M. (2016). On learning decision heuristics. Proceedings of Machine Learning Research, 58, 75-85.
Full text

Buckmann, M., & Șimșek, Ö. (2016). Decision heuristics for comparison: How good are they? Proceedings of Machine Learning Research, 58, 1-11.
Full text

Șimșek, Ö., & Buckmann, M. (2015). Learning from small samples: An analysis of simple decision heuristics. In C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, & R. Garnett (Eds.), Advances in neural information processing systems: Vol. 28 (NIPS 2015) [Online version] (pp. 3141-3149). Red Hook, NY: Curran. Retrieved from http://papers.nips.cc/paper/5643-learning-from-small-samples-an-analysis-of-simple-decision-heuristics.pdf.
Full text

Buckmann, M., Gaschler, R., Hofer, S., Loeben, D., Frensch, P. A., & Brock, O. (2015). Learning to explore the structure of kinematic objects in a virtual environment. Frontiers in Psychology, 6:374. doi:10.3389/fpsyg.2015.00374
Full text

Buckmann, M. (2014). An empirical analysis of the performance of simple decision heuristics in dynamic environments. Master's thesis, Humboldt-Universität zu Berlin, Germany.

Fific, M., & Buckmann, M. (2013). Stopping Rule Selection (SRS) theory applied to deferred decision making. 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. 2273-2278). Austin, TX: Cognitive Science Society.
Full text