---
abstract: 'We explore two controversial hypotheses through robotic implementation: (1) Processes involved in recognition and response are tightly coupled both in their operation and epigenesis; and (2) processes involved in symbol emergence should respect the integrity of recognition and response while exploiting the periodicity of biological motion. To that end, this paper proposes a method of recognizing and generating motion patterns based on nonlinear principal component neural networks that are constrained to model both periodic and transitional movements. The method is evaluated by an examination of its ability to segment and generalize different kinds of soccer playing activity during a RoboCup match.'
altloc:
  - http://asip.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS117/macdorman.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: MacDorman
    given: Karl F.
    honourific: ''
    lineage: ''
  - family: Chalodhorn
    given: Rawichote
    honourific: ''
    lineage: ''
  - family: Ishiguro
    given: Hiroshi
    honourific: ''
    lineage: ''
  - family: Asada
    given: Minoru
    honourific: ''
    lineage: ''
date: 2004
date_type: published
datestamp: 2005-04-14
department: ~
dir: disk0/00/00/40/71
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: 4071
fileinfo: /style/images/fileicons/application_pdf.png;/4071/1/macdorman.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: 'protosymbols, shared signs, automatic segmentation, nonlinear principal component neural network, HOAP-1 humanoid robot'
lastmod: 2011-03-11 08:55:50
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 123-126
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 16:55:32
subjects:
  - comp-sci-neural-nets
  - comp-sci-art-intel
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Protosymbols that integrate recognition and response
type: confpaper
userid: 3507
volume: 117
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