Moonfish | Outils de modélisation pour la gestion durable des ressources halieutiques en Corse
Communication et Valorisation  |
Publications scientifiques
Articles dans des journaux avec actes et comité de lecture
Fuzz-iDEVS: An approach to model imprecisions in Discrete Event Simulation
Paul-Antoine Bisgambiglia, Eric Innocenti and Paul Bisgambiglia
In this work, we present a discrete event model that incorporates the lack of precision of variables. The make use of Fuzzy Set Theory to generate the model and apply it on fire propagation study case. Our aim is to propose a generalization to the discrete event system specification formalism (DEVS) which be able to deal with imprecision in all of its elements (events, transition functions, state). Our approach is based on mathematical definitions of the Fuzzy Set Theory to represent and use imprecise information in the DEVS formalism.
  • Journal of Intelligent & Fuzzy Systems, vol. 34, no. 4, pp. 2143-2157, 2018
  • DOI:10.3233/JIFS-171020
  • IOS Press
multiPDEVS: A Parallel Multicomponent System Specification Formalism
Damien Foures, Romain Franceschini, Paul-Antoine Bisgambiglia and Bernard P. Zeigler
Based on multiDEVS formalism, we introduce multi- PDEVS, a parallel and non-modular formalism for dis- crete event system specification. This formalism pro- vides combined advantages of PDEVS and multiDEVS approaches, such as excellent simulation capabilities for simultaneously scheduled events, and components able to influence at each other using exclusively their state transitions. We next show the soundness of the formalism by giving a construction showing that any multiPDEVS model is equivalent to a PDEVS atomic model. We then present the simulation procedure as- sociated, usually called abstract simulator. As a well- adapted formalism to express cellular automata, we fi- nally propose to compare an implementation of mul- tiPDEVS formalism with a more classical Cell-DEVS implementation through a fire spread application.
  • Complexity
  • Volume 2018 (2018), Article ID 3751917, 19 pages

JDF 2018 - Les Journées DEVS Francophones - Applications de la théorie de la Modélisation et de la Simulation

Ouvrage collaboratif sous la direction de Paul-Antoine Bisgambiglia

Rubrique : Données – informatique – I.A. – IHM
Référence : 1637
I.S.B.N. : 9782364936379
Année de parution : 2018

url :


Communications et conférences internationales


Romain Franceschini, Paul-Antoine Bisgambiglia and David R.C. Hill

Proceedings of The Summer Simulation Multi-Conference 2018 (SummerSim’18)

SCS 9-12 juillet 2018 Bordeaux (France)


An overview of the Quartz modelling and simulation framework

Romain Franceschini, Paul-Antoine Bisgambiglia, Paul Bisgambiglia and David R.C. Hill

Proceedings of SIMULTECH 2018, 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH)

29-31 juillet 2018 PORTO (Portugal)

Paul-H. Martelloni, Gautier Quesnel, Eric Innocenti, Paul-A. Bisgambiglia, Pierre R Gonsolin, Paul Bisgambiglia,
Abstract :
This work deals with the simulation of spatial complex systems resolved with cellular models. We compare two component-based modeling implementations, based on DSDE and Multicomponent formalisms, using a Virtual Laboratory Environment framework (VLE) that is based on the DSDE formalism.
  • SpringSim-TMS/DEVS, 2018 April 15-18, Baltimore, Maryland, USA;
  • Society for Modeling & Simulation International (SCS)
  • Proceedings of the 2018 Spring Simulation Multi-conference (SpringSim’18)
A new way to use fuzzy inference systems in activity-based cellular modeling simulations
Paul-Antoine Bisgambiglia, Eric Innocenti and Pierre-Regis Gonsolin
Over the last few years, both the study and the design of IT implementations of Cellular Automata Models (CAM) have gained a renewed interest. The success of these models in the Theory of Modelling and Simulation (TMS) relies on the structural phenomenon of emergence which makes it possible to run realistic simulations, despite lacking a modeling process for real systems. Cellular Automata Models (CAMs)do not describe real systems with complex equations, they allow the complexity of real systems to emerge from simple interactions described locally from their cellular elements. In order to optimize simulations whatever the spatial dimension considered, the concept of activity is used. In this work, we introduce disturbances in propagation rules and we improve simulation rendering. We express a doubt in the expression of the cell's activity, i.e. we express the activity rule by means of an Fuzzy Inference System (FIS). We present a new way to use Fuzzy Inference System (FIS), in an activity-based cellular modeling approach for fire spreading simulations.
  • Published in: Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on
  • link:
  • Date of Conference: 9-12 July 2017
  • Date Added to IEEE Xplore: 24 August 2017
  • Electronic ISSN: 1558-4739
  • INSPEC Accession Number: 17137762
  • DOI: 10.1109/FUZZ-IEEE.2017.8015504
  • Publisher: IEEE
  • Conference Location: Naples, Italy
Communications et conférences nationales
Approche formelle pour la modélisation et la simulation de systèmes multi-agents
Romain Franceschini, Paul-Antoine Bisgambiglia, Paul Bisgambiglia
Résumé :
Dans cet article, nous proposons d’inte?grer une approche formelle pour la spe?cification de mode?les de simulation oriente?s agent, dans le but de rendre les mode?les interope?rables et de rendre les re?sultats de simulation plus facile- ment reproductibles.
  • Actes des 25es Journées Francophones sur les Systèmes Multi-Agents
  • Lien :
  • Conférence : Plate-forme Intelligence Artificielle, Caen 2017
  • Date : du 3 au 7 juillet 2017 à Caen
Page mise à jour le 28/09/2018 par PAUL-ANTOINE BISGAMBIGLIA