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NeurIPS 1999

Acquisition in Autoshaping

Conference Paper Artificial Intelligence ยท Machine Learning

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.

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
2130244602739186