Description Formalisms in Agent Models
Fabrice Bouquet
(1)
,
David Sheeren
(2)
,
Nicolas Becu
(3)
,
Benoit Gaudou
(4, 5)
,
Christophe Lang
(1)
,
Nicolas Marilleau
(6)
,
Claude Monteil
(2)
1
FEMTO-ST -
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
2 DYNAFOR - Dynamiques Forestières dans l'Espace Rural
3 LIENSs - LIttoral ENvironnement et Sociétés
4 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
5 UT Capitole - Université Toulouse Capitole
6 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
2 DYNAFOR - Dynamiques Forestières dans l'Espace Rural
3 LIENSs - LIttoral ENvironnement et Sociétés
4 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
5 UT Capitole - Université Toulouse Capitole
6 UMMISCO - Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
Fabrice Bouquet
- Fonction : Auteur
- PersonId : 179690
- IdHAL : fabrice-bouquet
David Sheeren
- Fonction : Auteur
- PersonId : 1322450
- IdHAL : david-sheeren
- ORCID : 0000-0001-8016-5355
- IdRef : 092130062
Nicolas Becu
- Fonction : Auteur
- PersonId : 2990
- IdHAL : nicolas-becu
- ORCID : 0000-0002-7463-2719
- IdRef : 116015667
Benoit Gaudou
- Fonction : Auteur
- PersonId : 184851
- IdHAL : benoit-gaudou
- ORCID : 0000-0002-9005-3004
- IdRef : 131428438
Claude Monteil
- Fonction : Auteur
- PersonId : 765207
- ORCID : 0000-0002-2521-0472
Résumé
This chapter will aim to present good practice in, and the benefits of, formalization in modeling multiagent systems (MAS). To achieve this, the authors will first reiterate the usefulness of modeling systems, while placing the paradigms associated with a multiagent approach in context. Then, they will argue that the use of graphic modeling languages enhances the exchanges between the parties involved in the design of an MAS. Following this, two types of graphic models based on the same semantic base are presented: Unified Modeling Language (UML) and Agent Modeling Language (AML). The first graphic model is intended for general use and facilitates its users to analyze the ontology and dynamics of the modeled system. The second graphic model uses paradigms specific to agents and facilitates its users to create a design which is closer to the MAS which will be produced. After having discussed the relative merits of each of these graphic model types and presented some possible extensions, the chapter discusses the utility of, and a method for, documenting a multiagent model. In order to do this, the Overview, Design concepts, Details (ODD) protocol, which guides the modeler in the creation of a documentation of the objectives, constitutive elements and specific properties of the model, is presented.
Domaines
Sciences de l'Homme et SociétéFormat du dépôt | Notice |
---|---|
Type de dépôt | Chapitre d'ouvrage |
Titre |
en
Description Formalisms in Agent Models
|
Résumé |
en
This chapter will aim to present good practice in, and the benefits of, formalization in modeling multiagent systems (MAS). To achieve this, the authors will first reiterate the usefulness of modeling systems, while placing the paradigms associated with a multiagent approach in context. Then, they will argue that the use of graphic modeling languages enhances the exchanges between the parties involved in the design of an MAS. Following this, two types of graphic models based on the same semantic base are presented: Unified Modeling Language (UML) and Agent Modeling Language (AML). The first graphic model is intended for general use and facilitates its users to analyze the ontology and dynamics of the modeled system. The second graphic model uses paradigms specific to agents and facilitates its users to create a design which is closer to the MAS which will be produced. After having discussed the relative merits of each of these graphic model types and presented some possible extensions, the chapter discusses the utility of, and a method for, documenting a multiagent model. In order to do this, the Overview, Design concepts, Details (ODD) protocol, which guides the modeler in the creation of a documentation of the objectives, constitutive elements and specific properties of the model, is presented.
|
Auteur(s) |
Fabrice Bouquet
1
, David Sheeren
2
, Nicolas Becu
3
, Benoit Gaudou
4, 5
, Christophe Lang
1
, Nicolas Marilleau
6
, Claude Monteil
2
1
FEMTO-ST -
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
( 866 )
- 32 avenue de l'Observatoire 25044 BESANCON CEDEX
- France
2
DYNAFOR -
Dynamiques Forestières dans l'Espace Rural
( 37920 )
- 24 Chemin de Borde-Rouge Auzeville CS 52627
31326 Castanet Tolosan Cedex
- France
3
LIENSs -
LIttoral ENvironnement et Sociétés
( 154635 )
- Bâtiment Marie Curie Avenue Michel Crépeau 17 042 La Rochelle cx1 - Bâtiment ILE 2, rue Olympe de Gouges 17 000 La Rochelle
- France
4
IRIT-SMAC -
Systèmes Multi-Agents Coopératifs
( 396069 )
- IRIT
118 Route de Narbonne
31062 Toulouse Cedex 9
- France
5
UT Capitole -
Université Toulouse Capitole
( 81148 )
- 2 rue du Doyen-Gabriel-Marty - 31042 Toulouse Cedex 9
- France
6
UMMISCO -
Unité de modélisation mathématique et informatique des systèmes complexes [Bondy]
( 100405 )
- IRD France Nord - 32 avenue Henri Varagnat - 93143 Bondy cedex
- France
|
Page/Identifiant |
29-73
|
Langue du document |
Anglais
|
Titre de l'ouvrage |
Agent-based Spatial Simulation with Netlogo - Volume 1
|
ISBN |
9781785480553
|
Vulgarisation |
Non
|
Audience |
Internationale
|
Date de publication |
2015
|
Domaine(s) |
|
Mots-clés |
en
agent-based modelling, NetLogo
|
DOI | 10.1016/B978-1-78548-055-3.50002-2 |
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