Modeling Embodied Lexical Development (1997)
| Venue: | IN PROCEEDINGS OF THE 19TH COGNITIVE SCIENCE SOCIETY CONFERENCE |
| Citations: | 54 - 8 self |
BibTeX
@INPROCEEDINGS{Bailey97modelingembodied,
author = {David Bailey and Jerome Feldman and Srini Narayanan and George Lakoff},
title = {Modeling Embodied Lexical Development},
booktitle = {IN PROCEEDINGS OF THE 19TH COGNITIVE SCIENCE SOCIETY CONFERENCE},
year = {1997},
pages = {84--89},
publisher = {}
}
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Abstract
This paper presents an implemented computational model of lexical development for the case of action verbs. A simulated agent is trained by an informant giving labels to the agent's actions (here hand motions) and the system learns to both label and carry out similar actions. Computationally, the system employs a novel form of active representation and is explicitly intended to be neurally plausible. The learning methodology is a version of Bayesian model merging (Omohundro, 1992). The verb learning model is placed in the broader context of the L0 project on embodied natural language and its acquisition.
