---
abstract: |-
A significant portion of early language learning
can be viewed as an associative learning
problem. We investigate the use of associative
language learning based on the principle that
words convey Shannon information about the
environment. We discuss the shortcomings
in representation used by previous associative
word learners and propose a functional representation
that not only denotes environmental
categories, but serves as the basis for activities
and interaction with the environment.
We present experimental results with an autonomous
agent acquiring language.
altloc:
- http://www.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS101/Burns.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 'August 4-5, 2003'
conference: 'Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems'
confloc: 'Boston, MA, USA'
contact_email: ~
creators_id: []
creators_name:
- family: Burns
given: Brendan
honourific: ''
lineage: ''
- family: Sutton
given: Charles
honourific: ''
lineage: ''
- family: Morrison
given: Clayton
honourific: ''
lineage: ''
- family: Cohen
given: Paul
honourific: ''
lineage: ''
date: 2003
date_type: published
datestamp: 2004-02-12
department: ~
dir: disk0/00/00/33/31
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
- family: Prince
given: Christopher G.
honourific: ''
lineage: ''
- family: Berthouze
given: Luc
honourific: ''
lineage: ''
- family: Kozima
given: Hideki
honourific: ''
lineage: ''
- family: Bullock
given: Daniel
honourific: ''
lineage: ''
- family: Stojanov
given: Georgi
honourific: ''
lineage: ''
- family: Balkenius
given: Christian
honourific: ''
lineage: ''
eprint_status: archive
eprintid: 3331
fileinfo: /style/images/fileicons/application_pdf.png;/3331/1/Burns.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'associative language learning, information theory, Multi-Stream Dependency Detection, autonomous agent'
lastmod: 2011-03-11 08:55:25
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 65-71
pubdom: TRUE
publication: ~
publisher: Lund University Cognitive Studies
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:50:05
subjects:
- comp-sci-mach-learn
- comp-sci-art-intel
- comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Information Theory and Representation in Associative Word Learning
type: confpaper
userid: 3507
volume: 101