English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Simple trees in complex forests: Growing take the best by approximate bayesian computation

MPS-Authors
/persons/resource/persons139664

Meder,  Björn       
Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

id10007354.pdf
(Publisher version), 481KB

Supplementary Material (public)
There is no public supplementary material available
Citation

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-937C-D
Abstract
There is no abstract available