Emergent Generalization in Bayesian Agents Using Iterated Learning

Giancarlo Schrementi, Michael Gasser. Emergent Generalization in Bayesian Agents Using Iterated Learning. In Harold Fellermann, Mark Dörr, Martin M. Hanczyc, Lone Ladegaard Laursen, Sarah Elizabeth Maurer, Daniel Merkle, Pierre-Alain Monnard, Kasper Støy, Steen Rasmussen, editors, Artificial Life XII: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, Odense, Denmark, August 19-23, 2010. pages 642-647, MIT Press, 2010. [doi]

@inproceedings{SchrementiG10,
  title = {Emergent Generalization in Bayesian Agents Using Iterated Learning},
  author = {Giancarlo Schrementi and Michael Gasser},
  year = {2010},
  url = {http://mitpress.mit.edu/sites/default/files/titles/alife/0262290758chap117.pdf},
  researchr = {https://researchr.org/publication/SchrementiG10},
  cites = {0},
  citedby = {0},
  pages = {642-647},
  booktitle = {Artificial Life XII: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, Odense, Denmark, August 19-23, 2010},
  editor = {Harold Fellermann and Mark Dörr and Martin M. Hanczyc and Lone Ladegaard Laursen and Sarah Elizabeth Maurer and Daniel Merkle and Pierre-Alain Monnard and Kasper Støy and Steen Rasmussen},
  publisher = {MIT Press},
  isbn = {9780262290753},
}