Verification of the emergence in an architecture for multi-robot systems (AMEB)
This article analyzes the emerging behavior of a multi-robot system managed by an architecture structured in three layers: the first provides local support to the robot, manages its processes of action, perception and communication, as well as its behavioral aspect, which considers the reactive, cog...
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Escuela Politécnica Nacional (EPN)
2018-12-01
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doaj-f7176cafe0cd4da2a2dfb5f8a346bbcb2021-04-20T15:33:00ZengEscuela Politécnica Nacional (EPN)Latin-American Journal of Computing1390-92661390-91342018-12-01524152154Verification of the emergence in an architecture for multi-robot systems (AMEB)Angel Gil0Jose Aguilar1Eladio Dapena2Rafael Rivas3Laboratorio de Prototipos en la Universidad Nacional Experimental del TáchiraCEMISID en la Universidad de los AndesLASDAI en la Universidad de los AndesLASDAI en la Universidad de los AndesThis article analyzes the emerging behavior of a multi-robot system managed by an architecture structured in three layers: the first provides local support to the robot, manages its processes of action, perception and communication, as well as its behavioral aspect, which considers the reactive, cognitive and social aspects of the robot. In addition, it introduces an affective component that influences its behavior and the way it relates to the environment and to the other individuals in the system, based on an emotional model that takes into account fourArticle history:Received 12 September 2018Accepted 08 November 2018A Gil, pertenece al Laboratorio de Prototipos en la Universidad Nacional Experimental del Táchira y a Tepuy R+D Group. Artificial Intelligence Software Development. Mérida, Venezuela (email: agil@unet.edu.ve)basic emotions. The second provides support to the collective processes of the system, based on the concept of emerging coordination. The latter is responsible for knowledge management and learning processes, both individually and collectively, in the system. In this article the metrics are defined to verify the emergency in the system, by means of the use of a method of verification of emergent behaviors based on Fuzzy Cognitive Maps.https://lajc.epn.edu.ec/index.php/LAJC/article/view/154emergent systemsemotionscontrol of robots and multi-robot systemscognitive mapsrobot modeling and multi-robot systemsdistributed and decentralized control architectures. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Angel Gil Jose Aguilar Eladio Dapena Rafael Rivas |
spellingShingle |
Angel Gil Jose Aguilar Eladio Dapena Rafael Rivas Verification of the emergence in an architecture for multi-robot systems (AMEB) Latin-American Journal of Computing emergent systems emotions control of robots and multi-robot systems cognitive maps robot modeling and multi-robot systems distributed and decentralized control architectures. |
author_facet |
Angel Gil Jose Aguilar Eladio Dapena Rafael Rivas |
author_sort |
Angel Gil |
title |
Verification of the emergence in an architecture for multi-robot systems (AMEB) |
title_short |
Verification of the emergence in an architecture for multi-robot systems (AMEB) |
title_full |
Verification of the emergence in an architecture for multi-robot systems (AMEB) |
title_fullStr |
Verification of the emergence in an architecture for multi-robot systems (AMEB) |
title_full_unstemmed |
Verification of the emergence in an architecture for multi-robot systems (AMEB) |
title_sort |
verification of the emergence in an architecture for multi-robot systems (ameb) |
publisher |
Escuela Politécnica Nacional (EPN) |
series |
Latin-American Journal of Computing |
issn |
1390-9266 1390-9134 |
publishDate |
2018-12-01 |
description |
This article analyzes the emerging behavior of a multi-robot system managed by an architecture structured in three layers: the first provides local support to the robot, manages its processes of action, perception and communication, as well as its behavioral aspect, which considers the reactive, cognitive and social aspects of the robot. In addition, it introduces an affective component that influences its behavior and the way it relates to the environment and to the other individuals in the system, based on an emotional model that takes into account fourArticle history:Received 12 September 2018Accepted 08 November 2018A Gil, pertenece al Laboratorio de Prototipos en la Universidad Nacional Experimental del Táchira y a Tepuy R+D Group. Artificial Intelligence Software Development. Mérida, Venezuela (email: agil@unet.edu.ve)basic emotions. The second provides support to the collective processes of the system, based on the concept of emerging coordination. The latter is responsible for knowledge management and learning processes, both individually and collectively, in the system. In this article the metrics are defined to verify the emergency in the system, by means of the use of a method of verification of emergent behaviors based on Fuzzy Cognitive Maps. |
topic |
emergent systems emotions control of robots and multi-robot systems cognitive maps robot modeling and multi-robot systems distributed and decentralized control architectures. |
url |
https://lajc.epn.edu.ec/index.php/LAJC/article/view/154 |
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