The Chinese Journal of Artificial Intelligence is an international journal promoting a comprehensive view of the field of artificial intelligence development to solve real-life problems. Artificial intelligence (AI) is a new technical science that studies and develops theory, methods and application systems used to simulate and extend human intelligence. The research in this field includes computational intelligence, language recognition, image recognition, natural language processing, and expert systems. The rapidly published science journal focuses on the development of artificial intelligence methods in the world. Submitted papers should report some new aspects of the field of AI and also are validated using some public data sets for easy replicability of the research results.
Focal points of the journal include, but are not limited to these aspects:
Algorithms in artificial intelligence
AI applications in medicine, law, and other disciplines
Computing and the mind
Pervasive computing and ambient intelligence
Artificial intelligence and philosophy
Automated reasoning and inference
Cognitive aspects of AI
High-level computer vision
Natural language processing
Planning and theories of action
Reasoning under uncertainty or imprecision
Dunwei Gong China University of Mining and Technology Xuzhou (China)
Dunwei Gong (M’14) received the B.Sc. degree in mathematics from China University of Mining and Technology, Xuzhou, China, in 1992, the M.Sc. degree in control theory and applications from Beihang University, Beijing, China, in 1995, and the Ph.D. degree in control theory and control engineering from China University of Mining and Technology, Xuzhou, China, in 1999, respectively. He has published over 180 publications. He obtained two awards issued by Ministry of Education and Jiangsu Province, China, respectively, in recent three years. His interests include computation intelligence in multi-objective optimization, dynamic and uncertain optimization, as well as applications in software engineering, scheduling, path planning, big data processing and parsing.