--- 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