AI in China: A survey

Publication Type:
Journal Article
Citation:
IEEE Intelligent Systems, 2008, 23 (6), pp. 26 - 32
Issue Date:
2008-11-01
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Chinese researchers have made contributions to many key AI (artificial intelligence) areas. Chinese researchers have extended mechanized methods for differential-difference (DD) equations, which are of practical importance. Researchers have developed the zero decomposition algorithms for DD equations, which can help solve the perfect ideal-membership problems in DD polynomial systems and prove theorems that can be represented by DD equations. Researchers have used Stewart platform in the development of key components of integrated circuit equipment. Y. Liu and colleagues have proposed a spatial-relation model for internal cardinal directions. S. Li and M. Ying have proposed GRCC (generalized RCC), a formalism for topological information that generalizes the RCC theory and accommodates both continuous and discrete spatial models. Chinese AI researchers have applied multiobjective genetic algorithm (GAs) to improve GPS signal acquisition. Research has also been conducted on an object-orientation based design framework for software agents and the operational semantics of MAS components.
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