Subir material

Suba sus trabajos a SEDICI, para mejorar notoriamente su visibilidad e impacto

 

Mostrar el registro sencillo del ítem

dc.date.accessioned 2012-11-12T11:40:03Z
dc.date.available 2012-11-12T11:40:03Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24019
dc.description.abstract 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 en
dc.language en es
dc.subject Robotics es
dc.subject Collaborative learning es
dc.subject Multiagent systems es
dc.title Trading off impact and mutation of knowledge by cooperatively learning robots en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34632-5 es
sedici.creator.person Richert, Willi es
sedici.creator.person Kleinjohann, Bernd es
sedici.creator.person Kleinjohann, Lisa es
sedici.description.note 1st IFIP International Conference on Biologically Inspired Cooperative Computing - Robotics and Sensor Networks es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es


Descargar archivos

Thumbnail
Documento completo
Descargar archivo (211.8Kb) - PDF

Este ítem aparece en la(s) siguiente(s) colección(ones)

Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)