Ronald. an. Hector. ue. Knowledge. Representation and. Reasoning. A. T&T. Labs. –. Research. Florham. Park,. New. Jersey. USA. This landmark text takes the central concepts of knowledge representation Brachman and Levesque have been at the forefront of KR&R for two decades. Ronald J. Brachman and Hector J. Levesque. Expressiveness and tractability in knowledge representation and reasoning. Computational Intelligence,

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Knowledge Representation and Reasoning

Book Description Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent an from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed.


This landmark text takes the central concepts of knowledge representation developed over the last 50 years representatin illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature.

Knowledge Representation and Reasoning [Book]

The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence.

This book provides the foundation in knowledge representation and reasoning that every AI knowledeg needs. The Language of First-Order Logic 2.

Reasoning with Horn Clauses 5.

Procedural Control of Reasoning 6. Rules in Production Systems 7.

Vagueness, Uncertainty, and Degrees of Belief Explanation and Diagnosis The Tradeoff between Expressiveness and Tractability