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A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives

A cyber-physical system (CPS) is a system with integrated computational and physical abilities. Deriving the notion of cyber-physical collective (CPC) from a social view of CPS, we consider the nodes of a CPS as individuals (agents) that interact to overcome their limits in the collective. When CPC...

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Autores principales: Khenifar, Afra, Jamont, Jean-Paul, Occello, Michel, Ben-Yelles, Choukri-Bey, Koudil, Mouloud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263296/
https://www.ncbi.nlm.nih.gov/pubmed/35813852
http://dx.doi.org/10.3389/frobt.2022.904819
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author Khenifar, Afra
Jamont, Jean-Paul
Occello, Michel
Ben-Yelles, Choukri-Bey
Koudil, Mouloud
author_facet Khenifar, Afra
Jamont, Jean-Paul
Occello, Michel
Ben-Yelles, Choukri-Bey
Koudil, Mouloud
author_sort Khenifar, Afra
collection PubMed
description A cyber-physical system (CPS) is a system with integrated computational and physical abilities. Deriving the notion of cyber-physical collective (CPC) from a social view of CPS, we consider the nodes of a CPS as individuals (agents) that interact to overcome their limits in the collective. When CPC agents are able to move in their environment, the CPC is considered as a Mobile CPC (MCPC). The interactions of the agents give rise to the appearance of a phenomenon collectively generated by the agents of the CPC that we call a collective product. This phenomenon is not recorded as “a whole” in the CPC because an agent has only a partial view of its environment. This paper presents COPE (COllective Product Exploitation), an approach that allows one MCPC to exploit the collective product of another one. The approach is based on the deployment of meta-agents in both systems. A meta-agent is an agent that is external to a MCPC but is associated with one of its agents. Each meta-agent is able to monitor the agent with which it is associated and can fake its perceptions to influence its behavior. The meta-agents deployed in the system from which the collective product emerges provide indicators related to this product. Utilizing these indicators, the meta-agents deployed in the other system can act on the agents in order to adapt the global dynamics of the whole system. The proposed coupling approach is evaluated in a “fire detection and control” use case. It allows a system of UAVs to use the collective product of a network of sensors to monitor the fire.
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spelling pubmed-92632962022-07-09 A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives Khenifar, Afra Jamont, Jean-Paul Occello, Michel Ben-Yelles, Choukri-Bey Koudil, Mouloud Front Robot AI Robotics and AI A cyber-physical system (CPS) is a system with integrated computational and physical abilities. Deriving the notion of cyber-physical collective (CPC) from a social view of CPS, we consider the nodes of a CPS as individuals (agents) that interact to overcome their limits in the collective. When CPC agents are able to move in their environment, the CPC is considered as a Mobile CPC (MCPC). The interactions of the agents give rise to the appearance of a phenomenon collectively generated by the agents of the CPC that we call a collective product. This phenomenon is not recorded as “a whole” in the CPC because an agent has only a partial view of its environment. This paper presents COPE (COllective Product Exploitation), an approach that allows one MCPC to exploit the collective product of another one. The approach is based on the deployment of meta-agents in both systems. A meta-agent is an agent that is external to a MCPC but is associated with one of its agents. Each meta-agent is able to monitor the agent with which it is associated and can fake its perceptions to influence its behavior. The meta-agents deployed in the system from which the collective product emerges provide indicators related to this product. Utilizing these indicators, the meta-agents deployed in the other system can act on the agents in order to adapt the global dynamics of the whole system. The proposed coupling approach is evaluated in a “fire detection and control” use case. It allows a system of UAVs to use the collective product of a network of sensors to monitor the fire. Frontiers Media S.A. 2022-06-24 /pmc/articles/PMC9263296/ /pubmed/35813852 http://dx.doi.org/10.3389/frobt.2022.904819 Text en Copyright © 2022 Khenifar, Jamont, Occello, Ben-Yelles and Koudil. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Khenifar, Afra
Jamont, Jean-Paul
Occello, Michel
Ben-Yelles, Choukri-Bey
Koudil, Mouloud
A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives
title A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives
title_full A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives
title_fullStr A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives
title_full_unstemmed A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives
title_short A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives
title_sort meta-agent based approach to exploit the collective product of mobile cyber-physical collectives
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263296/
https://www.ncbi.nlm.nih.gov/pubmed/35813852
http://dx.doi.org/10.3389/frobt.2022.904819
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