Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.8
3.1
Journals
Information
Special Issues
Discrete-Event Simulation Modeling
share announcement

Discrete-Event Simulation Modeling

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 11117

Special Issue Editors

Dr. Laurent Capocchi

E-Mail Website
Guest Editor
SPE UMR CNRS 6134 , University of Corsica, Campus Grimaldi, 20250 Corte, France
Interests: modeling and simulation; discrete-event; machine learning; ubiquitous systems; Internet of Things
Dr. Jean-Francois Santucci

E-Mail
Guest Editor
SPE UMR CNRS 6134 , University of Corsica, Campus Grimaldi, 20250 Corte, France
Interests: modeling and simulation; discrete-event; machine learning; ubiquitous systems; Internet of Things; fault simulation

Special Issue Information

Dear Colleagues, 

Discrete-event simulation modeling is a quantitative process which is widely used in research and industry to reproduce the behavior of complex systems for analysis and decision making. From the formal specification of systems to their execution in distributed or parallel environments, discrete-event simulation offers solutions to problems in several areas such as the management of access conflicts in ubiquitous systems, the prediction of health pathways, validation and verification of systems, prediction of the behavior of natural systems, etc. Thus, new concepts and techniques of discrete-event simulation need to be created in order to respond to increasingly large modeling challenges which must often integrate artificial intelligence, for example. 

Therefore, the purpose of this Special Issue is to present the latest developments in discrete-event simulation modeling. Investigators in the field are invited to contribute with their original, unpublished works. Both research and review papers are welcome. 

Topics of interest include but are not limited to:

Theory of discrete-event simulation:

  • Modeling methodology
  • Simulation optimization
  • Distributed simulation
  • Continuous and hybrid simulation
  • Hierarchical model composition
  • Model-building process
  • Model abstraction and simplification
  • Meta-modeling
  • Ontologies in modeling and simulation
  • Model-driven engineering 

Applications of discrete-event simulation:

  • Machine learning
  • Deep learning
  • Cellular automata
  • Multi-agent M&S
  • Healthcare applications
  • Optimization modeling
  • Military applications
  • Power systems
  • Global Warming change modeling
  • IoT systems
  • Electric power systems M&S 
  • Modeling and simulation environments
  • M&S in robotics, engineering and manufacturing

Dr. Laurent Capocchi
Dr. Jean-Francois Santucci
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Discrete-Event
  • Modeling
  • Simulation
  • Complex System

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

13 pages, 756 KiB  
Article
Discrete Event Modeling and Simulation for Reinforcement Learning System Design
by Laurent Capocchi and Jean-François Santucci
Information 2022, 13(3), 121; https://0-doi-org.brum.beds.ac.uk/10.3390/info13030121 - 28 Feb 2022
Cited by 7 | Viewed by 4616
Abstract
Discrete event modeling and simulation and reinforcement learning are two frameworks suited for cyberphysical system design, which, when combined, can give powerful tools for system optimization or decision making process for example. This paper describes how discrete event modeling and simulation could be [...] Read more.
Discrete event modeling and simulation and reinforcement learning are two frameworks suited for cyberphysical system design, which, when combined, can give powerful tools for system optimization or decision making process for example. This paper describes how discrete event modeling and simulation could be integrated into reinforcement learning concepts and tools in order to assist in the realization of reinforcement learning systems, more specially considering the temporal, hierarchical, and multi-agent aspects. An overview of these different improvements are given based on the implementation of the Q-Learning reinforcement learning algorithm in the framework of the Discrete Event system Specification (DEVS) and System Entity Structure (SES) formalisms. Full article
(This article belongs to the Special Issue Discrete-Event Simulation Modeling)
►▼ Show Figures

Figure 1

21 pages, 30951 KiB  
Article
DEVS-Based Building Blocks and Architectural Patterns for Intelligent Hybrid Cyberphysical System Design
by Bernard Zeigler
Information 2021, 12(12), 531; https://0-doi-org.brum.beds.ac.uk/10.3390/info12120531 - 20 Dec 2021
Cited by 6 | Viewed by 3404
Abstract
The DEVS formalism has been recognized to support generic open architectures that allow incorporating multiple engineering domains within integrated simulation models. What is missing for accelerated adoption of DEVS-based methodology for intelligent cyberphysical system design is a set of building blocks and architectural [...] Read more.
The DEVS formalism has been recognized to support generic open architectures that allow incorporating multiple engineering domains within integrated simulation models. What is missing for accelerated adoption of DEVS-based methodology for intelligent cyberphysical system design is a set of building blocks and architectural patterns that can be replicated and reused in system development. As a start in this direction, this paper offers a notional architecture for intelligent hybrid cyberphysical system design and proceeds to focus on the decision layer to consider DEVS models for basic behaviors such as choice of alternatives, perception of temporal event relations, and recognition and generation of finite state languages cast into DEVS time segments. We proceed to describe a methodology to define DEVS-based building blocks and architectural patterns for design of systems employing fast, frugal, and accurate heuristics. We identify some elements of this kind and establish their status as minimal realizations of their defined behaviors. As minimal realizations such designs must ipso facto underlie any implementation of the same cognitive behaviors. We discuss architectures drawn from the cognitive science literature to show that the fundamental elements drawn from the fast, frugal, and accurate paradigm provide insights into intelligent hybrid cyberphysical system design. We close with open questions and research needed to confirm the proposed concepts. Full article
(This article belongs to the Special Issue Discrete-Event Simulation Modeling)
►▼ Show Figures

Figure 1

14 pages, 662 KiB  
Article
Agent-Based Simulation Framework for Epidemic Forecasting during Hajj Seasons in Saudi Arabia
by Sultanah Mohammed Alshammari, Mohammed Hassan Ba-Aoum, Nofe Ateq Alganmi and Arwa AbdulAziz Allinjawi
Information 2021, 12(8), 325; https://0-doi-org.brum.beds.ac.uk/10.3390/info12080325 - 12 Aug 2021
Cited by 2 | Viewed by 2040
Abstract
The religious pilgrimage of Hajj is one of the largest annual gatherings in the world. Every year approximately three million pilgrims travel from all over the world to perform Hajj in Mecca in Saudi Arabia. The high population density of pilgrims in confined [...] Read more.
The religious pilgrimage of Hajj is one of the largest annual gatherings in the world. Every year approximately three million pilgrims travel from all over the world to perform Hajj in Mecca in Saudi Arabia. The high population density of pilgrims in confined settings throughout the Hajj rituals can facilitate infectious disease transmission among the pilgrims and their contacts. Infected pilgrims may enter Mecca without being detected and potentially transmit the disease to other pilgrims. Upon returning home, infected international pilgrims may introduce the disease into their home countries, causing a further spread of the disease. Computational modeling and simulation of social mixing and disease transmission between pilgrims can enhance the prevention of potential epidemics. Computational epidemic models can help public health authorities predict the risk of disease outbreaks and implement necessary intervention measures before or during the Hajj season. In this study, we proposed a conceptual agent-based simulation framework that integrates agent-based modeling to simulate disease transmission during the Hajj season from the arrival of the international pilgrims to their departure. The epidemic forecasting system provides a simulation of the phases and rituals of Hajj following their actual sequence to capture and assess the impact of each stage in the Hajj on the disease dynamics. The proposed framework can also be used to evaluate the effectiveness of the different public health interventions that can be implemented during the Hajj, including size restriction and screening at entry points. Full article
(This article belongs to the Special Issue Discrete-Event Simulation Modeling)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop