Special Issue "Frontiers in Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems"

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Complex Systems".

Deadline for manuscript submissions: 31 January 2023 | Viewed by 2262

Special Issue Editors

Prof. Dr. Philippe Mathieu
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Guest Editor
Department of Computer Science, Lille University, Cité Scientifique, 59650 Villeneuve-d’Ascq, France
Interests: artificial intelligence; multi-agent systems; individual based simulation; agent based computational economics; game theory
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Juan M. Corchado
E-Mail Website
Guest Editor
BISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, Spain
Interests: artificial Intelligence; machine learning; edge computing; distributed computing; Blockchain; consensus model; smart cities; smart grid
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The relationship between individuality and aggregation is an important topic in complex systems science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities: the existence of boundaries delimiting and interconnecting aggregates. It is therefore crucial to define the properties of complex systems correctly, such as generic agent-based models, with which to simulate communities situated in grid- and scale-free network environments. To do this, complexities may be resolved through simulation, modeling and analysis techniques, which help provide confidence regarding the behavior of such systems, especially of those operating in dynamic environments or under unexpected constraints. Moreover, modeling and simulation help reduce the risks and costs involved in the design and development of validation tests.

Understanding the emergent behaviors of complex systems, and ensuring their correct performance in different environments, will allow for their evolution, as well as that of the methodologies integrated in them.

Although various methodologies are being used for the development of Complex Systems Simulation, one of the most widely adopted approaches is based on the agent paradigm, which may be used to create simulations for dynamic continuous time systems and discrete event systems. Agent-based systems may be applied in all sorts of areas, including home automation, industry, smart cities and automotive sectors.

This Special Issue invites researchers to submit original quality studies regarding the domain of Complex Systems Simulation, and urges them to address its main sub-disciplines, which include, but are not limited to, the following:

  • Complex Systems
  • Simulating Complex Systems
  • Simulation, Modelling and Analysis Techniques
  • Reasoning in Complex Systems
  • Mathematical Modeling
  • Distributed Problem Solving
  • Agent-Based Simulation
  • Multi-Agent Systems (MAS)
  • Virtual Agent Organisations (VAO)
  • IoT and MAS
  • CPS and MAS
  • IoT, Smart Cities, Industry 4.0
  • Digital Twins
  • Ambient Intelligence

The deadline for papers from PAAMS is 28th February 2023.

Prof. Dr. Philippe Mathieu
Prof. Dr. Juan M. Corchado
Dr. Alfonso González-Briones
Dr. Fernando De la Prieta
Guest Editors

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. Systems is an international peer-reviewed open access semimonthly 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 1400 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.

Published Papers (2 papers)

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Research

Article
A Novel Public Opinion Polarization Model Based on BA Network
Systems 2022, 10(2), 46; https://doi.org/10.3390/systems10020046 - 09 Apr 2022
Viewed by 538
Abstract
At present, the polarization of online public opinion is becoming more frequent, and individuals actively participate in attitude interactions more and more frequently. Thus, online views have become the dominant force in current public opinion. However, the rapid fermentation of polarized public opinion [...] Read more.
At present, the polarization of online public opinion is becoming more frequent, and individuals actively participate in attitude interactions more and more frequently. Thus, online views have become the dominant force in current public opinion. However, the rapid fermentation of polarized public opinion makes it very easy for actual topic views to go to extremes. Significantly, negative information seriously affects the healthy development of the social opinion ecology. Therefore, it is beneficial to maintain national credibility, social peace, and stability by exploring the communication structure of online public opinions, analyzing the logical model of extreme public attitudes, and guiding the communication of public opinions in a timely and reasonable manner. Starting from the J–A model and BA network, this paper explores the specific attributes of individuals and opinion network nodes. By incorporating parameters such as individual conformity and the strength of individual online relationships, we established a model of online group attitude polarization, then conducted simulation experiments on the phenomenon of online opinion polarization. Through simulations, we found that individual conformity and the difference in environmental attitude greatly influence the direction of opinion polarization events. In addition, crowd mentality makes individuals spontaneously choose the side of a particular, extreme view, which makes it easier for polarization to form and reach its peak. Full article
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Article
Disinformation in Social Networks and Bots: Simulated Scenarios of Its Spread from System Dynamics
Systems 2022, 10(2), 34; https://doi.org/10.3390/systems10020034 - 10 Mar 2022
Viewed by 728
Abstract
Social networks have become the scenario with the greatest potential for the circulation of disinformation, hence there is a growing interest in understanding how this type of information is spread, especially in relation to the mechanisms used by disinformation agents such as bots [...] Read more.
Social networks have become the scenario with the greatest potential for the circulation of disinformation, hence there is a growing interest in understanding how this type of information is spread, especially in relation to the mechanisms used by disinformation agents such as bots and trolls, among others. In this scenario, the potential of bots to facilitate the spread of disinformation is recognised, however, the analysis of how they do this is still in its initial stages. Taking into consideration what was previously stated, this paper aimed to model and simulate scenarios of disinformation propagation in social networks caused by bots based on the dynamics of this mechanism documented in the literature. For achieving the purpose, System dynamics was used as the main modelling technique. The results present a mathematical model, as far as disinformation by this mechanism is concerned, and the simulations carried out against the increase in the rate of activation and deactivation of bots. Thus, the preponderant role of social networks in controlling disinformation through this mechanism, and the potential of bots to affect citizens, is recognised. Full article
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