Theme and Scope

The rapid advancement of generative artificial intelligence, large language models (LLMs), multimodal foundation models, and autonomous agent technologies has accelerated the emergence of Generative AI Agents capable of reasoning, planning, memory management, tool utilization, and autonomous task execution. Recent developments in agentic AI frameworks have demonstrated transformative potential across numerous domains, including intelligent education, enterprise automation, healthcare, digital commerce, smart manufacturing, robotics, cybersecurity, software engineering, and scientific discovery. Generative AI agents are increasingly capable of conducting multi-step reasoning, coordinating collaborative workflows, integrating multimodal information, and continuously learning from dynamic environments.

Despite these advances, several critical challenges remain unresolved, including hallucination mitigation, trustworthy reasoning, explainability, memory consistency, multi-agent coordination, security vulnerabilities, ethical governance, privacy preservation, computational efficiency, and scalable deployment in real-world applications. This special issue aims to provide an interdisciplinary platform for researchers, engineers, and practitioners to present the latest theories, methodologies, architectures, systems, and applications related to Generative AI Agents. Original and high-quality research contributions are solicited in areas including, but not limited to, the following topics. 

• Architectures for Generative AI Agents
• Autonomous and Goal-Oriented AI Systems
• LLM-based Agent Frameworks and Orchestration
• Generative AI Agents for Intelligent Tutoring Systems
• Personalized Learning Companions and Virtual Mentors
• AI Agents for Learning Analytics and Adaptive Education
• AI for Medicine and Healthcare Research
• AI Agents for Enterprise Automation
• Intelligent Customer Service and Conversational Commerce
• AI-driven Business Analytics and Decision Support
• Benchmarking and Evaluation Methodologies
• Real-world Deployments and Industrial Case Studies
• Future Trends and Challenges in Generative AI Agents

Instructions for Manuscripts

• Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Submissions must be directly sent via email to Leading Guest Editor, Prof. Yao-Chung Chang: ycc@nttu.edu.tw
• All submitted papers must conform to the layout and format guidelines of JIT. Best Papers submitted to the 4th International Conference on Intelligent Science and Sustainable Development (ISASD 2026) may also be considered to this special issue after significantly modified with at least 70% difference.

Important Dates

• Manuscript submission Due: Nov. 30, 2026
• Notification of Acceptance/Rejection/Revision: Feb. 28, 2027
• Tentative Publication: The 3rd quarter, 2028

Guest Editors

• Prof. Yao-Chung Chang (Leading Guest Editor)
• Professor, Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan
• Email: ycc@nttu.edu.tw

• Prof. Chin-Feng Lai
• Professor, Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan
• Email: cinfonlai@ieee.org

• Prof. Chenglong Shao
• Associate Professor, Electronics and Information Communication Engineering, Kyushu Institute of Technology, Japan
• Email: shao@csn.kyutech.ac.jp