Observatorio de I+D+i UPM

Descripción
We present a multi-robot model suitable for study of interactions and emergence of rational behavior. We focus on a grammatical approach, and to demonstrate its advantages, we design a model of an adaptive multi-robot community in terms of eco-grammar systems. We show that this grammatical model, based on the blackbord architecture, can naturally involve reinforcement collective learning. We test two learning algorithms in a common environment with almost reactive co-operating robots. Experimental results show that using the grammatical model, the robot community can be successfully trained to find a close-to-optimal solution to a given NP-complete task of a truss construction.
Internacional	Si
JCR del ISI	Si
Título de la revista	FUND INFORM
ISSN	0169-2968
Factor de impacto JCR	0,693
Información de impacto
Volumen	76
DOI
Número de revista	3
Desde la página	367
Hasta la página	381
Mes	MARZO
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Esta actividad pertenece a memorias de investigación

• Participante: Peter Sebestyén (Mathematical Institute, Silesian University, 74601 Opava, Czech Republic.)
• Autor: Petr Sosik . (UPM)

• Creador: No seleccionado
• Departamento: Inteligencia Artificial