Data-Driven and Agent-Based Modelling for Complex Systems
A special issue of Modelling (ISSN 2673-3951).
Deadline for manuscript submissions: 30 June 2026 | Viewed by 88
Special Issue Editors
Interests: virtual humans and environments, personalities; HCI; information visualization; gaming; agent-based modeling; swarm intelligence; bio-inspired computation
Interests: neural-network-based modeling; compression techniques for artificial neural networks; novel methods for knowledge representation and model optimization; efficient algorithms and models for massively parallel computation using GPUs
Special Issue Information
Dear Colleagues,
In recent years, modelling has become essential to engineering and computation. It allows researchers to build and test representations of complex systems, check designs, and find ways to improve performance. Data-driven and agent-based approaches are beneficial for the field, since they help reveal how engineered systems react to change. With these tools, we can closely investigate interaction, adaptability, and patterns in computational and engineering settings.
This Special Issue invites papers on modelling that advances computation, simulation, and engineering. Topics may include data-driven simulation, agent-based models for engineered systems, optimization, computational intelligence, and work that blends machine learning with established simulation methods. We are also interested in applications across robotics, energy, manufacturing, logistics, and networked systems, as well as other engineering settings where scale and complexity remain difficult to manage.
This Special Issue aims to bring together new approaches that push the limits of computational modelling and simulation. Drawing on work at the crossroads of engineering and computer science, it seeks to show how data-driven and agent-based methods can strengthen complex systems' design, study, and management.
Dr. Khaldoon Dhou
Dr. Dariusz Puchala
Prof. Dr. Alexis Drogoul
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 250 words) can be sent to the Editorial Office for assessment.
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. Modelling 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 1200 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
- agent-based modeling
- bio-inspired computing
- optimization
- information systems modeling
- data driven simulations
- computational intelligence
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