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Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent

For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how t...

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Detalles Bibliográficos
Autores principales: Han, Jing, Wang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3642172/
https://www.ncbi.nlm.nih.gov/pubmed/23658695
http://dx.doi.org/10.1371/journal.pone.0061542
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author Han, Jing
Wang, Lin
author_facet Han, Jing
Wang, Lin
author_sort Han, Jing
collection PubMed
description For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents). However, we add one intelligent agent, called ‘shill’, which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior.
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spelling pubmed-36421722013-05-08 Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent Han, Jing Wang, Lin PLoS One Research Article For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents). However, we add one intelligent agent, called ‘shill’, which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior. Public Library of Science 2013-05-02 /pmc/articles/PMC3642172/ /pubmed/23658695 http://dx.doi.org/10.1371/journal.pone.0061542 Text en © 2013 Han, Wang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Han, Jing
Wang, Lin
Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent
title Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent
title_full Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent
title_fullStr Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent
title_full_unstemmed Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent
title_short Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent
title_sort nondestructive intervention to multi-agent systems through an intelligent agent
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3642172/
https://www.ncbi.nlm.nih.gov/pubmed/23658695
http://dx.doi.org/10.1371/journal.pone.0061542
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