Artificial Intelligence Models and Cognitive Computing: Innovations from Algorithms to Intelligent Systems

Special Issue Editors


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Guest Editor
College of Information Science and Engineering, Hohai University, Changzhou, China
Interests: artificial intelligence; intelligent systems
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Guest Editor
School of Information Science and Engineering, Shandong University, Qingdao, China
Interests: big data/artificial intelligence-based wireless communication; smart communication

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) and cognitive computing are evolving rapidly with the emergence of large-scale foundation models that integrate perception, reasoning, and decision-making. This Special Issue focuses on advancing theoretical foundations, model architectures, and intelligent system design for next-generation cognitive AI. Its scope includes large AI models, multimodal learning, neuro-symbolic reasoning, reinforcement learning, generative models, and cognitive architectures that enable adaptive, explainable, and human-centered intelligence.

The purpose of this Special Issue is to bridge the current gap between data-driven AI models and cognitive theory. It aims to supplement and extend existing research, which often treats algorithmic optimization and cognitive mechanisms as separate domains, by integrating insights from cognitive science, neuroscience, and machine learning to create interpretable and scalable AI systems. Furthermore, it seeks to highlight cross-domain applications of cognitive AI in fields such as healthcare, robotics, and smart cities, fostering interdisciplinary perspectives that push beyond traditional AI paradigms.

Through this initiative, we hope to inspire research that connects human-like cognition with artificial intelligence, contributing to a more transparent, generalizable, and trustworthy AI ecosystem.

Prof. Dr. Xin Su
Prof. Dr. Zhiquan Bai
Guest Editors

Manuscript Submission Information

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Keywords

  • artificial intelligence (AI)
  • cognitive computing
  • large models/foundation models
  • multimodal learning
  • neuro-symbolic reasoning
  • reinforcement learning
  • generative artificial intelligence (Generative AI)
  • edge and cloud intelligence
  • explainable artificial intelligence (XAI)
  • trustworthy and human-centered AI

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Published Papers

This special issue is now open for submission.
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