AI Applications of Multi-Agent Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 1389
Special Issue Editors
Interests: artificial intelligence; multi-agent systems; reinforcement learning; large-language model-driven decision making
Interests: multiagent systems; AI for education
Special Issue Information
Dear Colleagues,
With the rapid development of information technology and robotics, multiagent systems (MAS), due to their strong fault tolerance, robustness, and scalability, have become an effective method that can model, analyze, and compute autonomous multi-subject systems, now widely used in traffic light signal control, unmanned driving, smart warehousing and logistics, UAV collaboration, and emerging large language model planning and collaboration. The aim of the Special Issue is to bring together researchers and practitioners in all areas of agent technology and to provide a single, high-profile, internationally renowned forum for research in the theory and practice of autonomous agents and multiagent systems.
We welcome the submission of technical papers describing significant and original research on all aspects of the theory and practice of autonomous agents and multiagent systems. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Coordination, organizations, institutions, norms, and ethics;
- Engineering multiagent systems;
- Humans and AI/human–agent interaction;
- Innovative applications, in particular addressing the sustainable development goals;
- Knowledge representation, reasoning, and planning;
- Learning and adaptation;
- Markets, auctions, and non-cooperative game theory;
- Modeling and simulation of societies;
- (Multiagent) Reinforcement learning;
- Robotics;
- Large language model agents.
We look forward to receiving your contributions.
Dr. Wanyuan Wang
Dr. Yifeng Zhou
Dr. Vincent Chau
Guest Editors
Manuscript Submission Information
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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. Electronics 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 2400 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
- multiagent systems
- large language model agents
- reinforcement learning
- planning
- machine Learning
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