Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?

Paul F. Tupper, Bobak Shahriari. Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?. 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{TupperS16,
  title = {Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?},
  author = {Paul F. Tupper and Bobak Shahriari},
  year = {2016},
  url = {https://mindmodeling.org/cogsci2016/papers/0230/index.html},
  researchr = {https://researchr.org/publication/TupperS16},
  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},
}