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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3642172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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