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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Main Authors: Angel Gil, Jose Aguilar, Eladio Dapena, Rafael Rivas
Format: Article
Language:English
Published: Escuela Politécnica Nacional (EPN) 2018-12-01
Series:Latin-American Journal of Computing
Subjects:
Online Access:https://lajc.epn.edu.ec/index.php/LAJC/article/view/154
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spelling 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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