Multi-Agent Systems: Applications and Directions
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 45
Special Issue Editors
Interests: multi-agent systems; incentive allocation problem; social influence; reinforcement learning
Special Issue Information
Dear Colleagues,
Multi-agent systems (MASs) have emerged as a powerful paradigm for modeling complex, distributed, and intelligent systems across diverse domains, including robotics, smart grids, transportation, healthcare, social networks, and industrial automation. By enabling autonomous agents to collaborate, compete, or negotiate, MASs offers scalable and adaptive solutions to real-world challenges. Moreover, with the increase in the use of large language models (LLMs), MASs are undergoing a transformative shift. LLMs can now serve as reasoning engines, communication facilitators, and decision-making coordinators for autonomous agents. This Special Issue aims to explore cutting-edge research and applications of multi-agent systems, highlighting innovative methodologies, algorithms, and case studies that demonstrate their transformative potential. We welcome contributions that address theoretical advances, practical implementations, and interdisciplinary applications of MASs, fostering discussions on scalability, robustness, learning, and coordination in dynamic environments.
Topics of interest include, but are not limited to, the following:
- Distributed AI and cooperative/competitive multi-agent learning;
- MASs for autonomous robotics and swarm intelligence;
- Game-theoretic approaches and mechanism design in MASs;
- MASs in smart cities, energy systems, and IoT networks;
- MASs for social sciences;
- Human–agent interaction in MASs;
- Agent-based recommender systems;
- Generative AI in MASs;
- LLM-driven agents.
Dr. Shiqing Wu
Dr. Weihua Li
Guest Editors
Manuscript Submission Information
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Keywords
- multi-agent systems
- agent-based modeling
- distributed systems
- autonomous agent
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