INVESTIGADORES
ZANUTTO Bonifacio Silvano
artículos
Título:
Multiagent team formation performed by operant learning: an animat approach
Autor/es:
D. GUTNISKY, R. ZELMANN, S. ZANUTTO
Revista:
PROCEEDINGS OF THE IEEE
Editorial:
IEEE
Referencias:
Lugar: Estados Unidos; Año: 2006 p. 2944 - 2950
ISSN:
0018-9219
Resumen:
Abstract An animat approach to dynamic team formation in agroup of distributed robots is studied. The goal is that robotslearn to align with the others in order to form a row or a columnwithout having communication among them, just local sensingand a reinforcement signal. The action of the robot is controlledby a biologically plausible neural network model of operantlearning. The remarkable performance achieved by theproposed model allows the building of new Artificial Intelligenceagents based on neurobiology, psychology and ethologyresearch.
