---
abstract: |-
How does an individual use the knowledge
acquired through self exploration as a manipulable model through which to understand
others and benefit from their knowledge?
How can developmental and social learning be
combined for their mutual benefit? In this
paper we review a hierarchical architecture
(HAMMER) which allows a principled way
for combining knowledge through exploration
and knowledge from others, through the creation and use of multiple inverse and forward
models. We describe how Bayesian Belief Networks can be used to learn the association
between a robot’s motor commands and sensory consequences (forward models), and how
the inverse association can be used for imitation. Inverse models created through self
exploration, as well as those from observing
others can coexist and compete in a principled unified framework, that utilises the simulation theory of mind approach to mentally
rehearse and understand the actions of others.
altloc:
- http://asip.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS123/demiris.pdf
- http://asip.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS123/epirob05d.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 'July 22-24, 2005'
conference: 'Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems'
confloc: 'Nara, Japan'
contact_email: ~
creators_id: []
creators_name:
- family: Demiris
given: Yiannis
honourific: ''
lineage: ''
- family: Dearden
given: Anthony
honourific: ''
lineage: ''
date: 2005
date_type: published
datestamp: 2006-07-16
department: ~
dir: disk0/00/00/49/61
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
- family: Berthouze
given: Luc
honourific: ''
lineage: ''
- family: Kaplan
given: Frédéric
honourific: ''
lineage: ''
- family: Kozima
given: Hideki
honourific: ''
lineage: ''
- family: Yano
given: Hiroyuki
honourific: ''
lineage: ''
- family: Konczak
given: Jürgen
honourific: ''
lineage: ''
- family: Metta
given: Giorgio
honourific: ''
lineage: ''
- family: Nadel
given: Jacqueline
honourific: ''
lineage: ''
- family: Sandini
given: Giulio
honourific: ''
lineage: ''
- family: Stojanov
given: Georgi
honourific: ''
lineage: ''
- family: Balkenius
given: Christian
honourific: ''
lineage: ''
eprint_status: archive
eprintid: 4961
fileinfo: /style/images/fileicons/application_pdf.png;/4961/1/demiris.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: 'Bayesian belief network, HAMMER architecture, hierarchial social learning, simulation theory of mind, developmental robot'
lastmod: 2011-03-11 08:56:28
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 31-37
pubdom: FALSE
publication: ~
publisher: Lund University Cognitive Studies
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 17:05:27
subjects:
- comp-sci-mach-learn
- comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: 'From motor babbling to hierarchical learning by imitation: a robot developmental pathway'
type: confpaper
userid: 3507
volume: 123