---
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
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