Trading off impact and mutation of knowledge by cooperatively learning robots

Autores
Richert, Willi; Kleinjohann, Bernd; Kleinjohann, Lisa
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the interacting agents. This is inspired by social interaction of humans, where the opinions of experts have greater impact on the overall opinion and are incorporated more exactly than those of newbies. The approach is successfully evaluated in a simulation in which mobile robots have to accomplish a task while taking care of timely recharging their resources
1st IFIP International Conference on Biologically Inspired Cooperative Computing - Robotics and Sensor Networks
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Robotics
Collaborative learning
Multiagent systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24019
Acceder
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network_name_str SEDICI (UNLP)
spelling Trading off impact and mutation of knowledge by cooperatively learning robotsRichert, WilliKleinjohann, BerndKleinjohann, LisaCiencias InformáticasRoboticsCollaborative learningMultiagent systemsWe present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the interacting agents. This is inspired by social interaction of humans, where the opinions of experts have greater impact on the overall opinion and are incorporated more exactly than those of newbies. The approach is successfully evaluated in a simulation in which mobile robots have to accomplish a task while taking care of timely recharging their resources1st IFIP International Conference on Biologically Inspired Cooperative Computing - Robotics and Sensor NetworksRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24019enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34632-5info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:41Zoai:sedici.unlp.edu.ar:10915/24019Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:41.403SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Trading off impact and mutation of knowledge by cooperatively learning robots
title Trading off impact and mutation of knowledge by cooperatively learning robots
spellingShingle Trading off impact and mutation of knowledge by cooperatively learning robots
Richert, Willi
Ciencias Informáticas
Robotics
Collaborative learning
Multiagent systems
title_short Trading off impact and mutation of knowledge by cooperatively learning robots
title_full Trading off impact and mutation of knowledge by cooperatively learning robots
title_fullStr Trading off impact and mutation of knowledge by cooperatively learning robots
title_full_unstemmed Trading off impact and mutation of knowledge by cooperatively learning robots
title_sort Trading off impact and mutation of knowledge by cooperatively learning robots
dc.creator.none.fl_str_mv Richert, Willi
Kleinjohann, Bernd
Kleinjohann, Lisa
author Richert, Willi
author_facet Richert, Willi
Kleinjohann, Bernd
Kleinjohann, Lisa
author_role author
author2 Kleinjohann, Bernd
Kleinjohann, Lisa
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Robotics
Collaborative learning
Multiagent systems
topic Ciencias Informáticas
Robotics
Collaborative learning
Multiagent systems
dc.description.none.fl_txt_mv We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the interacting agents. This is inspired by social interaction of humans, where the opinions of experts have greater impact on the overall opinion and are incorporated more exactly than those of newbies. The approach is successfully evaluated in a simulation in which mobile robots have to accomplish a task while taking care of timely recharging their resources
1st IFIP International Conference on Biologically Inspired Cooperative Computing - Robotics and Sensor Networks
Red de Universidades con Carreras en Informática (RedUNCI)
description We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the interacting agents. This is inspired by social interaction of humans, where the opinions of experts have greater impact on the overall opinion and are incorporated more exactly than those of newbies. The approach is successfully evaluated in a simulation in which mobile robots have to accomplish a task while taking care of timely recharging their resources
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24019
url http://sedici.unlp.edu.ar/handle/10915/24019
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34632-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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