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Authors: Thomas Huraux 1 ; Nicolas Sabouret 2 and Yvon Haradji 3

Affiliations: 1 EDF R&D and LIP6 - Pierre and Marie Curie University, France ; 2 University of Paris-Sud, France ; 3 EDF R&D, France

Keyword(s): Multi-level Modeling, Multi-agent Systems, Simulation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: In this paper, we consider the problem of modeling complex systems at several levels of abstraction. We design SIMLAB, a multi-level model for multi-agent based simulation. Our approach is based on the coexistence of different levels during simulation to enhance the model with complementary experts’ opinion. We present how a same concept can be defined independently of its granularity using the notion of modeling axis. We consider recursive agents with interactions and influences which captures the inter-level dynamics. We also propose observations to detect and to reify macroscopic entities.


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Paper citation in several formats:
Huraux, T.; Sabouret, N. and Haradji, Y. (2014). A Multi-level Model for Multi-agent based Simulation. In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-016-1; ISSN 2184-433X, SciTePress, pages 139-146. DOI: 10.5220/0004814501390146

author={Thomas Huraux. and Nicolas Sabouret. and Yvon Haradji.},
title={A Multi-level Model for Multi-agent based Simulation},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},


JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A Multi-level Model for Multi-agent based Simulation
SN - 978-989-758-016-1
IS - 2184-433X
AU - Huraux, T.
AU - Sabouret, N.
AU - Haradji, Y.
PY - 2014
SP - 139
EP - 146
DO - 10.5220/0004814501390146
PB - SciTePress