InforLorV4, Main, Exploration, bibRecord, 000B96

Multi-agent Simulation based control of complex systems

Identifieur interne : 000B96 ( Main/Exploration ); précédent : 000B95; suivant : 000B97

Multi-agent Simulation based control of complex systems

Auteurs : Tomas Navarrete [Luxembourg (pays)] ; Laurent Ciarletta [France] ; Vincent Chevrier [France]

Source :

RBID : Hal:hal-00966436

Abstract

The challenge we address in this work is the control of complex systems based on the multi-agent paradigm. Our focus is on identifying what speci c questions arise when using the multi-agent paradigm in the control of complex systems context. We present here a solution under the form of an equation-free control architecture based on multiagent model simulation. The results of the implementation on a free-riding problem in p2p networks demonstrate that the proposed architecture can control such a network. Our contribution is to identify key questions that rise when using the multi-agent paradigm in the context of control of complex systems, concerning the relationship between the model entities and the target system entities.

Url:

https://hal.inria.fr/hal-00966436

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 003395
to stream Hal, to step Curation: 003395
to stream Hal, to step Checkpoint: 000B37
to stream Main, to step Merge: 000C02
to stream Main, to step Curation: 000B96

Le document en format XML

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<orgName>Université de Lorraine</orgName>
<orgName type="acronym">UL</orgName>
<date type="start">2012-01-01</date>
<desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lorraine.fr/</ref>
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<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
<desc><address><country key="FR"></country>
</address>
<ref type="url">http://www.cnrs.fr/</ref>
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<country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
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<orgName type="university">Université de Lorraine</orgName>
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<front><div type="abstract" xml:lang="en">The challenge we address in this work is the control of complex systems based on the multi-agent paradigm. Our focus is on identifying what speci c questions arise when using the multi-agent paradigm in the control of complex systems context. We present here a solution under the form of an equation-free control architecture based on multiagent model simulation. The results of the implementation on a free-riding problem in p2p networks demonstrate that the proposed architecture can control such a network. Our contribution is to identify key questions that rise when using the multi-agent paradigm in the context of control of complex systems, concerning the relationship between the model entities and the target system entities.</div>
</front>
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<affiliations><list><country><li>France</li>
<li>Luxembourg (pays)</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
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<settlement><li>Metz</li>
<li>Nancy</li>
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<orgName><li>Université de Lorraine</li>
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<tree><country name="Luxembourg (pays)"><noRegion><name sortKey="Navarrete, Tomas" sort="Navarrete, Tomas" uniqKey="Navarrete T" first="Tomas" last="Navarrete">Tomas Navarrete</name>
</noRegion>
</country>
<country name="France"><region name="Grand Est"><name sortKey="Ciarletta, Laurent" sort="Ciarletta, Laurent" uniqKey="Ciarletta L" first="Laurent" last="Ciarletta">Laurent Ciarletta</name>
</region>
<name sortKey="Chevrier, Vincent" sort="Chevrier, Vincent" uniqKey="Chevrier V" first="Vincent" last="Chevrier">Vincent Chevrier</name>
</country>
</tree>
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Multi-agent Simulation based control of complex systems

Multi-agent Simulation based control of complex systems

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