A reverse engineering form for Multi Agent Systems
Document type :
Communication dans un congrès avec actes
Title :
A reverse engineering form for Multi Agent Systems
Author(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]
Scientific editor(s) :
Artikis
Alexander and Picard
Gauthier and Vercouter
Laurent
Alexander and Picard
Gauthier and Vercouter
Laurent
Conference title :
9th International Workshop Engineering Societies in the Agents World (ESAW'2008)
City :
Saint-Etienne
Country :
France
Start date of the conference :
2008-09-24
Book title :
Proceedings of the 9th International Workshop Engineering Societies in the Agents World (ESAW'2008). Revised Selected Papers
Journal title :
Engineering Societies in the Agents World IX: 9th International Workshop, ESAW 2008
Publisher :
Springer
Publication date :
2009
HAL domain(s) :
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]
English abstract : [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 ...
Show more >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".Show less >
Show more >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".Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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