New Technologies and Applications of Agent-Based Hybrid Intelligence

Dear Colleagues,

Benefiting from advances in distributed artificial intelligence, intelligent agent-based technology has been applied in robots, unmanned systems, and the internet of things. In such systems, agents are modelled as independent decision modules that can communicate, cooperate, or serve with some others. Driven by the emerging technology of machine learning such as deep learning, reinforcement learning, large language model, and knowledge graphic learning, agent design can be based on human rules, semantic knowledge, machine learning, and human–computer hybrid intelligence. Most importantly, new progress in hybrid learning promotes an interesting phenomenon in which agents become smarter with human-assisted learning compared with learning solely with the machine itself. Based on the latest achievements in hybrid intelligence and agent-based decision technology, this Special Issue will focus on providing an overview of the recent advances covering a wide range of advanced technologies in agent-based hybrid intelligence. This Special Issue welcomes original papers on the theoretical advancements and practical applications of agent-based hybrid intelligence. Review papers or tutorial papers on this topic are also encouraged.

The topics of interests include, but are not limited to, the following:

• Agent-based hybrid intelligence theory and technology;
• Agent-based hybrid intelligence for command and control (C2);
• Agent-based hybrid intelligence for swarm robots/unmanned systems;
• Agent-based hybrid intelligence for the internet of things;
• Agent-based hybrid intelligence for smart home and city;
• Hybrid information processing and coordination between human and agents;
• Human-assisted learning and intelligence for robots;
• Multi-agent-based hybrid intelligence;
• Adjust autonomy for human robot intelligence;
• Communications and networking technology of agent-based hybrid intelligence;
• Modelling and simulation technology of agent-based hybrid intelligence;
• Other related theories, methods, and techniques for agent-based hybrid intelligence.

Prof. Dr. Yang Xu
Dr. Xiaobin Tan
Prof. Dr. Yupin Yang
Guest Editors

Manuscript Submission Information

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• agent-based hybrid intelligence
• multi-agent-based hybrid intelligence
• human robot intelligence