Cooperative learning on autonomous agents acquiring common language for action and perception

J. Atkinson-Abutridy, A. Ferreira-Cabrera, V. Riquelme

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In order to perform shared tasks, all the participants in a multi-agent system (MAS) must agree common meanings for their perceptions and actions. Therefore, the basic communication and cooperation must be handled in a different way, mainly because the agents are autonomous components who sometimes make their own decisions. Keeping this in mind, a model for language acquisition and learning based on an underlying MAS is proposed. It takes into account issues concerned lexical acquisition and emergence capabilities as products of agents interacting in an artificial society. As a result, some simulations in which these agents are involved in a "talk" with others to agree common meanings are discussed.

Idioma originalInglés
Título de la publicación alojadaProceedings - 20th International Conference of the Chilean Computer Science Society, SCCC 2000
EditorialIEEE Computer Society
Páginas83-88
Número de páginas6
ISBN (versión digital)0769508103
DOI
EstadoPublicada - 2000
Publicado de forma externa
Evento20th International Conference of the Chilean Computer Science Society, SCCC 2000 - Santiago, Chile
Duración: 16 nov. 200018 nov. 2000

Serie de la publicación

NombreProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volumen2000-January
ISSN (versión impresa)1522-4902

Conferencia

Conferencia20th International Conference of the Chilean Computer Science Society, SCCC 2000
País/TerritorioChile
CiudadSantiago
Período16/11/0018/11/00

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