Artificial Intelligence: A Modern Approach: United States Edition

Artificial Intelligence という抽象的ですが、ほとんどの現在のソフトウェアの基本になっているのです。 本書は現在までの主要AI分野をほぼ網羅しており、教科書に使われております。リファレンスもかなりしっかりしているため、初学者の手ほどきに最良書と考えます。 しかし、蛸壺の世界に入る方よりも、アプライドサイエンスとして、様々な産業で実践している多くの方にも、この本は必読と思われます。

This book (now on it's third edition) is, in my opinion, an absolutely essential book for all computer scientists, and any developer working on algorithms. It is one of my top five computer science books of all time. The structure, referencing, context and content, are perfectly presented, concise, and understandable. The book also includes exercises for students or lecturers if this is seen as important. Not only does the book cover an introduction to search algorithms efficiently in the 25% of the book, it also provides the best introduction to first order logic I have read. About 65% of the huge volume covers AI, striking a perfect balance for logical minds, without oversimplifying or avoiding mathematics - as is often found, and without any of the pitfalls found in pure maths texts. (which can sometimes for me feel like they lack either structure or clear concise semantics). Running through the book is an insight into agent-based AI (as and when appropriate for a chapter) building on an introduction to agents in the first part of the book.

An author of this book is said to have commented that its writing has made him a millionaire. It is used in over 1000 universities for a simple reason, it is good. The book uses the concept of an agent to unify the formerly fragmented field of AI and to link together concepts as diverse as logic programming and ethics. It is very easy to read and touches every area of modern research interest I can think of. The problems have a nice variety of difficulties (although there are no worked-out solutions in the book) and provide a mix between theory and practice, introducing the careful student to concepts and papers not developed in the main text of the chapter. The bibliography is well laid-out and provides useful depth (one of my current research interests was sparked by reading one of the referenced papers in the 2nd chapter). My only complaint so far (not having finished the entire book) is that some of the definitions in chapter 17's whirlwind introduction to game theory were a little vague. But, a quick look at some other sources clarified things immensely. It is rare to find a textbook as interesting and clear as this one. If a professor is requiring that you read it, consider yourself fortunate. If you are thinking of reading it yourself, you also are blessed. Look forward to many pleasant evenings.

This book is a reference on the study of the artificial intelligence. Is one of the books all the people interested on the artificial intelligence, would have to read.

good