An Example of a Multi-agent System described as a Discrete Dynamical System
Identifieur interne : 002132 ( Hal/Checkpoint ); précédent : 002131; suivant : 002133An Example of a Multi-agent System described as a Discrete Dynamical System
Auteurs : Vincent Chevrier [France] ; Nazim Fatès [France]Source :
Abstract
Finding adequate descriptions of multi-agent systems is a central issue for modelling collective dynamics. This article proposes a mathematical description of multi-agent systems as discrete dynamical systems. The ground of our proposition is the influence-reaction method of Ferber and M¨uller. The key idea is that agents should never act directly on other components of the system (agents or environment) but release influences which are then combined to update the state of the system. We propose a method which decomposes the definition of multi-agent system into six parts: (1) the basic sets, (2) the perception of the agents, (3) the influences, (4) the updating of the agents' internal state, (5) the updating of the environment, (6) the updating of the position and observable states of the agents. We illustrate our method on the multi- turmite model, also known as the multiple Langton's ants model. We then briefly discuss the relevance of this modelling method for the study of multi-agent systems.
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type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Finding adequate descriptions of multi-agent systems is a central issue for modelling collective dynamics. This article proposes a mathematical description of multi-agent systems as discrete dynamical systems. The ground of our proposition is the influence-reaction method of Ferber and M¨uller. The key idea is that agents should never act directly on other components of the system (agents or environment) but release influences which are then combined to update the state of the system. We propose a method which decomposes the definition of multi-agent system into six parts: (1) the basic sets, (2) the perception of the agents, (3) the influences, (4) the updating of the agents' internal state, (5) the updating of the environment, (6) the updating of the position and observable states of the agents. We illustrate our method on the multi- turmite model, also known as the multiple Langton's ants model. We then briefly discuss the relevance of this modelling method for the study of multi-agent systems.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">An Example of a Multi-agent System described as a Discrete Dynamical System</title><author role="aut"><persName><forename type="first">Vincent</forename><surname>Chevrier</surname></persName><email>chevrier@loria.fr</email><idno type="halauthor">58990</idno><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Nazim</forename><forename type="middle">A.</forename><surname>Fatès</surname></persName><email>Nazim.Fates@loria.fr</email><idno type="idhal">nazim-fates</idno><idno type="halauthor">1109</idno><affiliation ref="#struct-2355"></affiliation></author><editor role="depositor"><persName><forename>Vincent</forename><surname>Chevrier</surname></persName><email>chevrier@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2010-12-21 14:34:04</date><date type="whenModified">2016-05-18 08:55:52</date><date type="whenReleased">2010-12-21 14:34:04</date><date type="whenProduced">2010-12-16</date></edition><respStmt><resp>contributor</resp><name key="103134"><persName><forename>Vincent</forename><surname>Chevrier</surname></persName><email>chevrier@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00549216</idno><idno type="halUri">https://hal.inria.fr/inria-00549216</idno><idno type="halBibtex">chevrier:inria-00549216</idno><idno type="halRefHtml">8th European Workshop on Multi-agent Systems - EuMAS 2010, Dec 2010, Paris, France. 2010</idno><idno type="halRef">8th European Workshop on Multi-agent Systems - EuMAS 2010, Dec 2010, Paris, France. 2010</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">An Example of a Multi-agent System described as a Discrete Dynamical System</title><author role="aut"><persName><forename type="first">Vincent</forename><surname>Chevrier</surname></persName><email>chevrier@loria.fr</email><idno type="halAuthorId">58990</idno><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Nazim</forename><forename type="middle">A.</forename><surname>Fatès</surname></persName><email>Nazim.Fates@loria.fr</email><idno type="idHal">nazim-fates</idno><idno type="halAuthorId">1109</idno><affiliation ref="#struct-2355"></affiliation></author></analytic><monogr><meeting><title>8th European Workshop on Multi-agent Systems - EuMAS 2010</title><date type="start">2010-12-16</date><date type="end">2010-12-17</date><settlement>Paris</settlement><country key="FR">France</country></meeting><respStmt><resp>conferenceOrganizer</resp><name>Paris Descartes University</name></respStmt><imprint><date type="datePub">2010-12-17</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-ma">Computer Science [cs]/Multiagent Systems [cs.MA]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Finding adequate descriptions of multi-agent systems is a central issue for modelling collective dynamics. This article proposes a mathematical description of multi-agent systems as discrete dynamical systems. The ground of our proposition is the influence-reaction method of Ferber and M¨uller. The key idea is that agents should never act directly on other components of the system (agents or environment) but release influences which are then combined to update the state of the system. We propose a method which decomposes the definition of multi-agent system into six parts: (1) the basic sets, (2) the perception of the agents, (3) the influences, (4) the updating of the agents' internal state, (5) the updating of the environment, (6) the updating of the position and observable states of the agents. We illustrate our method on the multi- turmite model, also known as the multiple Langton's ants model. We then briefly discuss the relevance of this modelling method for the study of multi-agent systems.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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