Multiagent team formation performed by operant learning: an animat approach

Gutnisky, D. A. et al · Institute Of Electrical And Electronics Engineers · 2006

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Autore / responsabile

Gutnisky, D. A. et al

Editore

Institute Of Electrical And Electronics Engineers

Anno

2006

ISSN

2944-2950

ISSN

2944-2950

Lingua

Inglés

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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. Fil: Gutnisky, D. A.. Fil: Zelmann, R..

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APA 7

Gutnisky, D. A. E. A. (2006). Multiagent team formation performed by operant learning: an animat approach. http://hdl.handle.net/11336/18532

MLA

Gutnisky, D. A. et al. "Multiagent team formation performed by operant learning: an animat approach." 2006. http://hdl.handle.net/11336/18532.

Chicago

Gutnisky, D. A. et al. 2006. "Multiagent team formation performed by operant learning: an animat approach.". http://hdl.handle.net/11336/18532.

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Gutnisky, D. A. E. A. 2006, Multiagent team formation performed by operant learning: an animat approach, Institute Of Electrical And Electronics Engineers, available at: http://hdl.handle.net/11336/18532 [Accessed 6 Aug. 2026].

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Titolo: Multiagent team formation performed by operant learning: an animat approach

Autore / collaboratori: Gutnisky, D. A. et al

Editore: Institute Of Electrical And Electronics Engineers

Anno di pubblicazione: 2006

ISSN: 2944-2950

ISSN: 2944-2950

Lingua: Inglés

Soggetti

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Operant Behavior; Multiagent System; Neural Networks; Reinforcement Learning; https://purl.org/becyt/ford/3.1; https://purl.org/becyt/ford/3; https://purl.org/becyt/ford/2.2; https://purl.org/becyt/ford/2