Advancements in Autonomous Agents and Multi-Agent Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 1626
Special Issue Editors
Interests: machine learning; game theory; multi-agent systems; adaptive and autonomous systems
Special Issue Information
Dear Colleagues,
In the realm of intelligent system engineering, the integration of diverse artificial intelligence technologies while maintaining conceptual integrity presents a significant challenge. The most widely recognized approach to overcoming this challenge is through the deployment of Autonomous Agents and Multi-Agent Systems (MAS). These systems are capable of embedding both data-driven solutions to enhance their intelligent capabilities and complex automated reasoning and planning solutions to support autonomous decision-making.
Autonomous Agents and MAS have been extensively utilized across various disciplines, for example, autonomous driving, e-commerce, smart grid, laws, and so on. The versatility and adaptability of these systems make them ideal for addressing complex problems in a multitude of domains. For this Special Issue, we are particularly interested in submissions that focus on the development of new adaptive strategies for single agents or cooperative approaches within Multi-Agent Systems. We are keen to explore innovative methodologies and empirical studies that push the boundaries of current knowledge in this field.
Areas of interest include (but are not limited to) the following:
- Adaptive strategies for single autonomous agents;
- Cooperative strategies for MAS;
- Data-driven solutions for enhancing intelligent capabilities;
- Automated reasoning and planning for autonomous decision-making;
- Integration of AI technologies in MAS;
- Applications of Autonomous Agents and MAS in diverse domains.
Dr. Siqi Chen
Prof. Dr. Gerhard Weiss
Guest Editors
Manuscript Submission Information
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Keywords
- autonomous agents
- multi-agent systems
- machine learning
- multi-agent reinforcement learning
- agreement technologies
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