Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation

Eric Schulz, Maarten Speekenbrink, Björn Meder. Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. In Anna Papafragou, Daniel Grodner, Daniel Mirman, John C. Trueswell, editors, Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Recogbizing and Representing Events, CogSci 2016, Philadelphia, PA, USA, August 10-13, 2016. cognitivesciencesociety.org, 2016. [doi]

@inproceedings{SchulzSM16,
  title = {Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation},
  author = {Eric Schulz and Maarten Speekenbrink and Björn Meder},
  year = {2016},
  url = {https://mindmodeling.org/cogsci2016/papers/0437/index.html},
  researchr = {https://researchr.org/publication/SchulzSM16},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Recogbizing and Representing Events, CogSci 2016, Philadelphia, PA, USA, August 10-13, 2016},
  editor = {Anna Papafragou and Daniel Grodner and Daniel Mirman and John C. Trueswell},
  publisher = {cognitivesciencesociety.org},
  isbn = {978-0-9911967-3-9},
}