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dc.contributor.author
Gutnisky, D. A.
dc.contributor.author
Zelmann, R.
dc.contributor.author
Zanutto, Bonifacio Silvano
dc.date.available
2017-06-21T15:41:58Z
dc.date.issued
2006-12
dc.identifier.citation
Gutnisky, D. A.; Zelmann, R.; Zanutto, Bonifacio Silvano; Multiagent team formation performed by operant learning: an animat approach; Institute Of Electrical And Electronics Engineers; Proceedings of International Joint Conference on Neural Networks; 2006; 12-2006; 2944-2950
dc.identifier.issn
2161-4393
dc.identifier.uri
http://hdl.handle.net/11336/18532
dc.description.abstract
An animat approach to dynamic team formation in a group of distributed robots is studied. The goal is that robots learn to align with the others in order to form a row or a column without having communication among them, just local sensing and a reinforcement signal. The action of the robot is controlled by a biologically plausible neural network model of operant learning. The remarkable performance achieved by the proposed model allows the building of new artificial intelligence agents based on neurobiology, psychology and ethology research.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute Of Electrical And Electronics Engineers
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Operant Behavior
dc.subject
Multiagent System
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Neural Networks
dc.subject
Reinforcement Learning
dc.subject.classification
Neurociencias
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Medicina Básica
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CIENCIAS MÉDICAS Y DE LA SALUD
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Control Automático y Robótica
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Multiagent team formation performed by operant learning: an animat approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-05-16T20:33:16Z
dc.identifier.eissn
2161-4407
dc.journal.volume
2006
dc.journal.pagination
2944-2950
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva York
dc.description.fil
Fil: Gutnisky, D. A..
dc.description.fil
Fil: Zelmann, R..
dc.description.fil
Fil: Zanutto, Bonifacio Silvano. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
dc.journal.title
Proceedings of International Joint Conference on Neural Networks
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/ 10.1109/IJCNN.2006.247228
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/1716498/