AustralieFrV1, Main, Exploration, bibRecord, 006532

Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire

Identifieur interne : 006532 ( Main/Exploration ); précédent : 006531; suivant : 006533

Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire

Auteurs : Carole Adam [France] ; Benoit Gaudou [France] ; Sarah Hickmott [Australie] ; David Scerri [Australie]

Source :

Revue d'intelligence artificielle [ 0992-499X ] ; 2011.

RBID : Pascal:11-0343874

Descripteurs français

Pascal (Inist)
- Système multiagent, Intelligence artificielle, Complexité calcul, Cognition, Psychologie sociale, Sociologie, Modèle BDI, Modélisation, Simulation ordinateur.
Wicri :
- topic : Intelligence artificielle, Sociologie.

English descriptors

KwdEn :
- Artificial intelligence, Belief desire intention model, Cognition, Computational complexity, Computer simulation, Modeling, Multiagent system, Social psychology, Sociology.

Abstract

Modeling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the increasing complexity of models resulting from this new approach, the trend has been to oversimplify the models. Some more descriptive models have still been developed for various phenomenons, but the cognition of agents is too often neglected, despite its great importance in some fields, such as Social and Human Sciences. The solution that we put forward in this paper is to use BDI agents. We will show that this is an expressive, realistic yet simple paradigm that thus offers numerous benefits to agent-based simulation.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 001A75
to stream PascalFrancis, to step Curation: 004469
to stream PascalFrancis, to step Checkpoint: 001458
to stream Main, to step Merge: 006909
to stream Main, to step Curation: 006532

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="fr" level="a">Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire</title>
<author><name sortKey="Adam, Carole" sort="Adam, Carole" uniqKey="Adam C" first="Carole" last="Adam">Carole Adam</name>
<affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Laboratoire d'Informatique de Grenoble Université Joseph Fourier</s1>
<s2>Grenoble</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Auvergne-Rhône-Alpes</region>
<region type="old region">Rhône-Alpes</region>
<settlement type="city">Grenoble</settlement>
<settlement type="city">Grenoble</settlement>
</placeName>
<orgName type="university">Université Joseph Fourier</orgName>
</affiliation>
</author>
<author><name sortKey="Gaudou, Benoit" sort="Gaudou, Benoit" uniqKey="Gaudou B" first="Benoit" last="Gaudou">Benoit Gaudou</name>
<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Université de Toulouse, IRIT, UMR 5505</s1>
<s2>Toulouse</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Occitanie (région administrative)</region>
<region type="old region">Midi-Pyrénées</region>
<settlement type="city">Toulouse</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Hickmott, Sarah" sort="Hickmott, Sarah" uniqKey="Hickmott S" first="Sarah" last="Hickmott">Sarah Hickmott</name>
<affiliation wicri:level="3"><inist:fA14 i1="03"><s1>RMIT University, School of CS & IT</s1>
<s2>Melbourne</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
<placeName><settlement type="city">Melbourne</settlement>
<region type="état">Victoria (État)</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Scerri, David" sort="Scerri, David" uniqKey="Scerri D" first="David" last="Scerri">David Scerri</name>
<affiliation wicri:level="3"><inist:fA14 i1="03"><s1>RMIT University, School of CS & IT</s1>
<s2>Melbourne</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
<placeName><settlement type="city">Melbourne</settlement>
<region type="état">Victoria (État)</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">11-0343874</idno>
<date when="2011">2011</date>
<idno type="stanalyst">PASCAL 11-0343874 INIST</idno>
<idno type="RBID">Pascal:11-0343874</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">001A75</idno>
<idno type="wicri:Area/PascalFrancis/Curation">004469</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">001458</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">001458</idno>
<idno type="wicri:doubleKey">0992-499X:2011:Adam C:agents:bdi:et</idno>
<idno type="wicri:Area/Main/Merge">006909</idno>
<idno type="wicri:Area/Main/Curation">006532</idno>
<idno type="wicri:Area/Main/Exploration">006532</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="fr" level="a">Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire</title>
<author><name sortKey="Adam, Carole" sort="Adam, Carole" uniqKey="Adam C" first="Carole" last="Adam">Carole Adam</name>
<affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Laboratoire d'Informatique de Grenoble Université Joseph Fourier</s1>
<s2>Grenoble</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Auvergne-Rhône-Alpes</region>
<region type="old region">Rhône-Alpes</region>
<settlement type="city">Grenoble</settlement>
<settlement type="city">Grenoble</settlement>
</placeName>
<orgName type="university">Université Joseph Fourier</orgName>
</affiliation>
</author>
<author><name sortKey="Gaudou, Benoit" sort="Gaudou, Benoit" uniqKey="Gaudou B" first="Benoit" last="Gaudou">Benoit Gaudou</name>
<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Université de Toulouse, IRIT, UMR 5505</s1>
<s2>Toulouse</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Occitanie (région administrative)</region>
<region type="old region">Midi-Pyrénées</region>
<settlement type="city">Toulouse</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Hickmott, Sarah" sort="Hickmott, Sarah" uniqKey="Hickmott S" first="Sarah" last="Hickmott">Sarah Hickmott</name>
<affiliation wicri:level="3"><inist:fA14 i1="03"><s1>RMIT University, School of CS & IT</s1>
<s2>Melbourne</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
<placeName><settlement type="city">Melbourne</settlement>
<region type="état">Victoria (État)</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Scerri, David" sort="Scerri, David" uniqKey="Scerri D" first="David" last="Scerri">David Scerri</name>
<affiliation wicri:level="3"><inist:fA14 i1="03"><s1>RMIT University, School of CS & IT</s1>
<s2>Melbourne</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>Australie</country>
<placeName><settlement type="city">Melbourne</settlement>
<region type="état">Victoria (État)</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Revue d'intelligence artificielle</title>
<title level="j" type="abbreviated">Rev. intell. artif.</title>
<idno type="ISSN">0992-499X</idno>
<imprint><date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Revue d'intelligence artificielle</title>
<title level="j" type="abbreviated">Rev. intell. artif.</title>
<idno type="ISSN">0992-499X</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Artificial intelligence</term>
<term>Belief desire intention model</term>
<term>Cognition</term>
<term>Computational complexity</term>
<term>Computer simulation</term>
<term>Modeling</term>
<term>Multiagent system</term>
<term>Social psychology</term>
<term>Sociology</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Système multiagent</term>
<term>Intelligence artificielle</term>
<term>Complexité calcul</term>
<term>Cognition</term>
<term>Psychologie sociale</term>
<term>Sociologie</term>
<term>Modèle BDI</term>
<term>Modélisation</term>
<term>Simulation ordinateur</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Intelligence artificielle</term>
<term>Sociologie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Modeling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the increasing complexity of models resulting from this new approach, the trend has been to oversimplify the models. Some more descriptive models have still been developed for various phenomenons, but the cognition of agents is too often neglected, despite its great importance in some fields, such as Social and Human Sciences. The solution that we put forward in this paper is to use BDI agents. We will show that this is an expressive, realistic yet simple paradigm that thus offers numerous benefits to agent-based simulation.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
<region><li>Auvergne-Rhône-Alpes</li>
<li>Midi-Pyrénées</li>
<li>Occitanie (région administrative)</li>
<li>Rhône-Alpes</li>
<li>Victoria (État)</li>
</region>
<settlement><li>Grenoble</li>
<li>Melbourne</li>
<li>Toulouse</li>
</settlement>
<orgName><li>Université Joseph Fourier</li>
</orgName>
</list>
<tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Adam, Carole" sort="Adam, Carole" uniqKey="Adam C" first="Carole" last="Adam">Carole Adam</name>
</region>
<name sortKey="Gaudou, Benoit" sort="Gaudou, Benoit" uniqKey="Gaudou B" first="Benoit" last="Gaudou">Benoit Gaudou</name>
</country>
<country name="Australie"><region name="Victoria (État)"><name sortKey="Hickmott, Sarah" sort="Hickmott, Sarah" uniqKey="Hickmott S" first="Sarah" last="Hickmott">Sarah Hickmott</name>
</region>
<name sortKey="Scerri, David" sort="Scerri, David" uniqKey="Scerri D" first="David" last="Scerri">David Scerri</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 006532 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 006532 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Pascal:11-0343874
   |texte=   Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire
}}

This area was generated with Dilib version V0.6.33.
Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024

	Serveur d'exploration sur les relations entre la France et l'Australie
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les relations entre la France et l'Australie

Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire

Agents BDI et simulations sociales: Unis pour le meilleur et pour le pire

Source :

Descripteurs français

English descriptors

Abstract

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

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri