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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 20th International Conference of the Chilean Computer Science Society, SCCC 2000
PublisherIEEE Computer Society
Pages83-88
Number of pages6
ISBN (Electronic)0769508103
DOIs
StatePublished - 2000
Externally publishedYes
Event20th International Conference of the Chilean Computer Science Society, SCCC 2000 - Santiago, Chile
Duration: 16 Nov 200018 Nov 2000

Publication series

NameProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume2000-January
ISSN (Print)1522-4902

Conference

Conference20th International Conference of the Chilean Computer Science Society, SCCC 2000
Country/TerritoryChile
CitySantiago
Period16/11/0018/11/00

Keywords

  • Autonomous agents
  • Education
  • Entropy
  • Internet
  • Mechanical factors
  • Multiagent systems
  • Protocols
  • Robots
  • Unsupervised learning

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