A reverse engineering form for Multi Agent Systems
Type de document :
Communication dans un congrès avec actes
Titre :
A reverse engineering form for Multi Agent Systems
Auteur(s) :
Gaillard, François [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Kubera, Yoann [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Mathieu, Philippe [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Picault, Sebastien [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Systèmes Multi-Agents et Comportements [SMAC]
Kubera, Yoann [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Mathieu, Philippe [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Picault, Sebastien [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Éditeur(s) ou directeur(s) scientifique(s) :
Artikis
Alexander and Picard
Gauthier and Vercouter
Laurent
Alexander and Picard
Gauthier and Vercouter
Laurent
Titre de la manifestation scientifique :
9th International Workshop Engineering Societies in the Agents World (ESAW'2008)
Ville :
Saint-Etienne
Pays :
France
Date de début de la manifestation scientifique :
2008-09-24
Titre de l’ouvrage :
Proceedings of the 9th International Workshop Engineering Societies in the Agents World (ESAW'2008). Revised Selected Papers
Titre de la revue :
Engineering Societies in the Agents World IX: 9th International Workshop, ESAW 2008
Éditeur :
Springer
Date de publication :
2009
Discipline(s) HAL :
Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Ingénierie, finance et science [cs.CE]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Ingénierie, finance et science [cs.CE]
Informatique [cs]/Intelligence artificielle [cs.AI]
Résumé en anglais : [en]
The usual way to design a simulation of a given phenomenon is to first build a model and then to implement it. The study of the simulation and its outcomes tells if the model is adequate and can explain the phenomenon. In ...
Lire la suite >The usual way to design a simulation of a given phenomenon is to first build a model and then to implement it. The study of the simulation and its outcomes tells if the model is adequate and can explain the phenomenon. In this paper, we reverse this process by building a browser in simulations space: we study an automatically built simulation to understand its underlying model and explain the phenomenon we obtain. This paper deals with automated construction of models and their implementations from an ontology, consisting of generic interactions that can be assigned to families of agents. Thanks to the measurement tools that we define, we can automatically qualify characteristics of our simulations and their underlying models. Finally, we offer tools for processing and simplifying found or existing models: these allow an iterative construction of new models by involving the user in their assessment. This simulation space browser is called LEIA for "LEIA lets you Explore In- teractions for your Agents".Lire moins >
Lire la suite >The usual way to design a simulation of a given phenomenon is to first build a model and then to implement it. The study of the simulation and its outcomes tells if the model is adequate and can explain the phenomenon. In this paper, we reverse this process by building a browser in simulations space: we study an automatically built simulation to understand its underlying model and explain the phenomenon we obtain. This paper deals with automated construction of models and their implementations from an ontology, consisting of generic interactions that can be assigned to families of agents. Thanks to the measurement tools that we define, we can automatically qualify characteristics of our simulations and their underlying models. Finally, we offer tools for processing and simplifying found or existing models: these allow an iterative construction of new models by involving the user in their assessment. This simulation space browser is called LEIA for "LEIA lets you Explore In- teractions for your Agents".Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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