Acquisition in Autoshaping
Abstract
Quantitative data on the speed with which animals acquire behav(cid:173) ioral responses during classical conditioning experiments should provide strong constraints on models of learning. However, most models have simply ignored these data; the few that have attempt(cid:173) ed to address them have failed by at least an order of magnitude. We discuss key data on the speed of acquisition, and show how to account for them using a statistically sound model of learning, in which differential reliabilities of stimuli playa crucial role.
Cite
Text
Kakade and Dayan. "Acquisition in Autoshaping." Neural Information Processing Systems, 1999.Markdown
[Kakade and Dayan. "Acquisition in Autoshaping." Neural Information Processing Systems, 1999.](https://mlanthology.org/neurips/1999/kakade1999neurips-acquisition/)BibTeX
@inproceedings{kakade1999neurips-acquisition,
title = {{Acquisition in Autoshaping}},
author = {Kakade, Sham and Dayan, Peter},
booktitle = {Neural Information Processing Systems},
year = {1999},
pages = {24-30},
url = {https://mlanthology.org/neurips/1999/kakade1999neurips-acquisition/}
}