Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)
| Author | : | |
| Rating | : | 4.92 (732 Votes) |
| Asin | : | 1558609326 |
| Format Type | : | paperback |
| Number of Pages | : | 381 Pages |
| Publish Date | : | 2013-11-09 |
| Language | : | English |
DESCRIPTION:
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 landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. Knowledge representation is at the very core of a radical idea for understanding 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. 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. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented syste
By Dr. Ronald Brachman and Hector Levesque
This textbook provides a lucid and comprehensive introduction to the field. And no researchers are more qualified to provide an in-depth introduction to the area than Brachman and Levesque, who have been at the forefront of KR&R for two decades. Theirs are the most even-handed explanations I have seen."John McCarthy, Stanford"This textbook makes teaching my KR course much easier. Thank you for giving me this opportunity to review and praise a book that has sorely been needed by the KRR community."Bill Rapaport, University at Buffalo"A concise and lucid exposition of the major topics in knowledge representation, from two of the leading authorities in the field. It provides a solid foundation and starting point for further studies. The info
Scott P. Stewart said Don't have to be a math buff to understand. I came across this book looking for a text that would explain the context of First Order Logic, why it is used for so many knowledge representation problems, how it is used to solve them, and its limitations. I must say that this is far and away the best book I've found to answer these questions. If you search around a little at the competition, you will find much of the text quickly turning to mathematical proofs and deductions in their explanations. While this is of course necessary and helpful, it doesn't (for me) really give an idea of how and why these methods are used practically. You can tell that these authors sp. Un francais en angleterre said Ok, but not enlightening. I own an old edition of the classic Russell and Norvig (R&N) which I read 10 years ago and did not feel like going through the huge new "Ok, but not enlightening" according to Un francais en angleterre. I own an old edition of the classic Russell and Norvig (R&N) which I read 10 years ago and did not feel like going through the huge new 2009 edition to learn about current topics, so I went looking for something a bit more recent with a focus on knowledge representation, and came up with this book. I have to say unfortunately that while not a bad book, it does not cover much more than the old R&N (side note on this: R&N is very comprehensive and covers the full AI spectrum. This book seems biased toward one particular school of AI. This may or may not be bad for you: if you're not interested in the additional material in. 009 edition to learn about current topics, so I went looking for something a bit more recent with a focus on knowledge representation, and came up with this book. I have to say unfortunately that while not a bad book, it does not cover much more than the old R&N (side note on this: R&N is very comprehensive and covers the full AI spectrum. This book seems biased toward one particular school of AI. This may or may not be bad for you: if you're not interested in the additional material in. Conrad Barski said This book is an Eye-Opener!. I love this book- It is a comprehensive introduction into knowledge representation, with enough detail to create your own knowledge representation programs.Are you a programmer who wonders what it really means when an object *IS* another object, in the form of inheritance found in object-oriented systems? Ever confused by the nuances of multiple inheritance? Ever wonder what XML or OOP or Relational Databases have to do with each other? Ever wonder if all those A.I. programmers in the 70s actually created anything useful? Ever wonder how type systems work? Ever wonder how to store complicated and vague data into a databa