A Bayesian Model of Imitation in Infants and Robots (2004)
| Venue: | In Imitation and Social Learning in Robots, Humans, and Animals |
| Citations: | 20 - 8 self |
BibTeX
@INPROCEEDINGS{Rao04abayesian,
author = {Rajesh P. N. Rao and Aaron P. Shon and Andrew N. Meltzoff},
title = {A Bayesian Model of Imitation in Infants and Robots},
booktitle = {In Imitation and Social Learning in Robots, Humans, and Animals},
year = {2004},
pages = {217--247},
publisher = {Cambridge University Press}
}
Years of Citing Articles
OpenURL
Abstract
Learning through imitation is a powerful and versatile method for acquiring new behaviors. In humans, a wide range of behaviors, from styles of social interaction to tool use, are passed from one generation to another through imitative learning. Although imitation evolved through Darwinian means, it achieves Lamarckian ends: it is a mechanism for the inheritance of acquired characteristics. Unlike trial-and-error-based learning methods such as reinforcement learning, imitation allows rapid learning.







