XX International Conference of the Chilean Computer Science Society (SCCC'00)
Cooperative Learning on Autonomous Agents Acquiring Common Language for Action and Perception
Santiago, Chile
November 16-November 18
ISBN: 0-7695-0810-3
V. Riquelme, Dept. de Ingenieria Inf., Univ. de Concepcion, Chile
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.
Index Terms:
multi-agent systems; computational linguistics; learning (artificial intelligence); cooperative learning; autonomous agents; common language; action; perception; shared tasks; multi-agent system; autonomous components; language acquisition; lexical acquisition; artificial society
Citation:
J. Atkinson-Abutridy, A. Ferreira-Cabrera, V. Riquelme, "Cooperative Learning on Autonomous Agents Acquiring Common Language for Action and Perception," sccc, pp.83, XX International Conference of the Chilean Computer Science Society (SCCC'00), 2000