Abstract
Knowledge representation (KR) systems are an important component of many artificial intelligence applications, such as planners, robots, natural language processors, and game-playing systems. The KR system stores the underlying model of the domain that is employed by the application. In contrast to database systems, KR systems need to represent more complex and possibly incomplete domain models. KR systems use reasoning techniques to answer queries about the knowledge. Knowledge representation is the branch of artificial intelligence that studies the design and expressive power of KR languages, the computational properties of their associated reasoning problems, and effective implementation of KR systems.
Published Version
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