Knowledge Representation and Reasoning

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Morgan Kaufmann, 2004 - Computers - 381 pages
3 Reviews
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 behavior 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 and 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. 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 practitioner needs.

*Authors are well-recognized experts in the field who have applied the techniques to real-world problems
* Presents the core ideas of KR&R in a simple straight forward approach, independent of the quirks of research systems
*Offers the first true synthesis of the field in over a decade

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Review: Knowledge Representation and Reasoning

User Review  - Dewi Wardani - Goodreads

it's close to a general logic in artificial intelligent. good point it's all I needed..but i like it also more elaborate some use cases ... ;) Read full review

Review: Knowledge Representation and Reasoning

User Review  - Paul - Goodreads

One thing to note when reading is that they use the horseshoe "" symbol instead of the directed arrow "" to represent implication. I guess this is syntactically valid, but confused me for a while. Read full review


Chapter 2 The Language of FirstOrder Logic
Chapter 3 Expressing Knowledge
Chapter 4 Resolution
Chapter 5 Reasoning with Horn Clauses
Chapter 6 Procedural Control of Reasoning
Chapter 7 Rules in Production Systems
Chapter 8 ObjectOriented Representation
Chapter 9 Structured Descriptions
Chapter 11 Defaults
Chapter 12 Vagueness Uncertainty and Degrees of Belief
Chapter 13 Explanation and Diagnosis
Chapter 14 Actions
Chapter 15 Planning
Chapter 16 The Tradeoff between Expressiveness and Tractability

Chapter 10 Inheritance

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