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The intelligent CAI system for chemistry based on automated reasoning

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Abstract

A new type of intelligent CAI system for chemistry is developed in this paper based on automated reasoning with chemistry knowledge. The system has shown its ability to solve chemistry problems, to assist students and teachers in studies and instruction with the automated reasoning functions. Its open mode of the knowledge base and its unique style of the interface between the system and human provide more opportunities for the users to acquire living knowledge through active participation. The automated reasoning based on basic chemistry knowledge also opened a new approach to the information storage and management of the ICAI system for sciences.

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WANG Xiaojing was born in 1953. He is an Associate Professor at Chengdu Institute of Computer Application, Chinese Academy of Sciences His current research interests include symbolic computation and its applications to information security, automated reasoning based on knowledge and its applications to intelligent systems.

ZHANG Jingzhong was born in 1936. Currently he is an Academician of Chinese Academy of Sciences, a Professor at Chengdu Institute of Computer Application, Chinese Academy of Sciences, and a Professor at Guangzhou Normal University, China. His research interests include discrete dynamic systems, mechanized theorem proving, theory and methods of automated reasoning and their applications to intelligent system. He and his group received the top academic rewards from Chinese Academy of Sciences in 1995 and National Association of Science and Technology (China) in 1997 respectively for their contributions to automated geometry theorem proving.

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Wang, X., Zhang, J. The intelligent CAI system for chemistry based on automated reasoning. J. Comput. Sci. & Technol. 14, 495–509 (1999). https://doi.org/10.1007/BF02948791

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