This site has been permanently archived. This is a static copy provided by the University of Southampton.
--- abstract: 'The concepts of muddy environment and muddy tasks set the ground for us to understand the essence of intelligence, both artificial and natural, which further motivates the need of Developmental Learning for machines. In this paper, a biologically inspired computational model is proposed to study one of the fundamental and controversial issues in cognitive science – “Object Permanence.” This model is implemented on a robot, which enables us to examine the robot’s behavior based on perceptual development through realtime experiences. Our experimental result shows consistency with prior researches on human infants, which not only sheds light on the highly controversial issue of object permanence, but also demonstrates how biologically inspired developmental models can potentially develop intelligent machines and verify computationalmodeling that has been established in cognitive science.' altloc: - http://asip.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS117/chen.pdf chapter: ~ commentary: ~ commref: ~ confdates: 'August 25-27, 2004' conference: 'Fourth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems' confloc: 'Genoa, Italy' contact_email: ~ creators_id: [] creators_name: - family: Chen given: Yi honourific: '' lineage: '' - family: Weng given: Juyang honourific: '' lineage: '' date: 2004 date_type: published datestamp: 2005-04-14 department: ~ dir: disk0/00/00/40/57 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: - family: Berthouze given: Luc honourific: '' lineage: '' - family: Kozima given: Hideki honourific: '' lineage: '' - family: Prince given: Christopher G. honourific: '' lineage: '' - family: Sandini given: Giulio honourific: '' lineage: '' - family: Stojanov given: Georgi honourific: '' lineage: '' - family: Metta given: Giorgio honourific: '' lineage: '' - family: Balkenius given: Christian honourific: '' lineage: '' eprint_status: archive eprintid: 4057 fileinfo: /style/images/fileicons/application_pdf.png;/4057/1/chen.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: 'developmental learning, object permanence, robot, robotic perceptual development, computational model' lastmod: 2011-03-11 08:55:50 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: 35-42 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 16:55:19 subjects: - comp-sci-mach-learn - comp-sci-art-intel - comp-sci-robot succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: 'Developmental Learning: A Case Study in Understanding “Object Permanence”' type: confpaper userid: 3507 volume: 117