Towards the Grounding of Abstract Words: A Neural Network Model for Cognitive Robots
dc.contributor.author | Stramandinoli, F | |
dc.contributor.author | Cangelosi, Angelo | |
dc.contributor.author | Marocco, D | |
dc.date.accessioned | 2015-10-13T15:14:19Z | |
dc.date.available | 2015-10-13T15:14:19Z | |
dc.date.issued | 2011-07 | |
dc.identifier.isbn | 9781457710865 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/3594 | |
dc.description.abstract |
In this paper, a model based on Artificial Neural Networks (ANNs) extends the symbol grounding mechanism toabstract words for cognitive robots. The aim of this work is to obtain a semantic representation of abstract concepts through the grounding in sensorimotor experiences for a humanoid robotic platform. Simulation experiments have been developed on a software environment for the iCub robot. Words that express general actions with a sensorimotor component are first taught to the simulated robot. During the training stage the robot first learns to perform a set of basic action primitives through the mechanism of direct grounding. Subsequently, the grounding of action primitives, acquired via direct sensorimotor experience, is transferred to higher-order words via linguistic descriptions. The idea is that by combining words grounded in sensorimotor experience the simulated robot can acquire more abstract concepts. The experiments aim to teach the robot the meaning of abstract words by making it experience sensorimotor actions. The iCub humanoid robot will be used for testing experiments on a real robotic architecture. | |
dc.format.extent | 467-474 | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.subject | Bioengineering | |
dc.subject | Basic Behavioral and Social Science | |
dc.subject | Behavioral and Social Science | |
dc.subject | 1.2 Psychological and socioeconomic processes | |
dc.subject | Mental health | |
dc.title | Towards the Grounding of Abstract Words: A Neural Network Model for Cognitive Robots | |
dc.type | conference | |
dc.type | Conference Proceeding | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000297541200068&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.date-start | 2011-07-31 | |
plymouth.date-finish | 2011-08-05 | |
plymouth.publisher-url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6022827 | |
plymouth.conference-name | International Joint Conference on Neural Networks | |
plymouth.publication-status | Published | |
plymouth.journal | The 2011 International Joint Conference on Neural Networks | |
dc.identifier.doi | 10.1109/ijcnn.2011.6033258 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/PS - Academic Partnerships | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Health and Community | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
dc.publisher.place | San Jose, California | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1109/ijcnn.2011.6033258 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Conference Paper/Proceeding/Abstract |