[PDF.69sb] Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)

Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)

[PDF.yq53] Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)

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 | #1124434 in Books |  Morgan Kaufmann |  2004-06-02 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.50 x1.11 x7.70l,2.28 | File type: PDF | 381 pages

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||27 of 28 people found the following review helpful.| Ok, but not enlightening|By 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 unfortuna| |"This book clearly and concisely distills decades of work in AI on representing information in an efficient and general manner. The information is valuable not only for AI researchers, but also for people working on logical databases, XML, and the semantic we

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.

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You easily download any file type for your device.Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)   |  Ronald Brachman, Hector Levesque. Just read it with an open mind because none of us really know.

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