Introduction to Artificial Intelligence: Second, Enlarged Edition (Dover Books on Mathematics) Second Edition, Enlarged

Writing from a graduate student in pure mathematics point of view. Moreover, I am most interested in analysis with quite a bit interest in computability theory, logic, and finite state machine type stuff.This book is a pretty casual read and is probably not for anyone wanting to ready themselves for AI research (as others have said). However, it is a really interested casual read that (thankfully) does get pretty mathematical. I find the exposition on the heavier math sides to be quite interesting. And, even though the book is definitely outdated, I would assume a lot of the theoretical ideas about AI still hold true for today. Regardless of whether or not uses statistics for AI now, there are a lot of really good ideas in this book I would assume are still important.In short, I would probably recommend this book to anyone interested in ideas rather than applications in terms of AI. If you are a master at computability type stuff, this book's math exposition might be a little light, but the historical aspects and point of views written in this book probably make it worth it.

A great introduction to Turing Machines and basics to other computational theories. Other books, speaking about Turing Machines, are either delves nothing about the technical details or is too mathematical at the start, which makes for bad substitutes for Turing's original writings. Granted there are not much on the German Enigma machines and their encoding and deciphering of messages. This being said about what may enhance the field of artificial intelligence since intelligence may be highly employed in the code breaking of Enigma, it is part of lost history and I doubt that anyone has any files on this aspect to describe something with some originality such as Alan Turing. Nevertheless, this book is both excellently approachable even if one has basic Biology or how computers' working parts represent non-human intelligence can be simulated. I was able to understand most the material in the first couple of chapters upon first reading, but upon second reading, I was able to find this book very interesting because there were material that I thought that I knew upon first reading, the second time around reveals to me that I don't know them that well to have depth in learning from this highly deserved classic.

I'm looking to do a lot of learning on state-of-the-art Artificial Intelligence, and this book was listed as one of those "others purchased this + this" type deals with another book I was looking at, and it was so cheap, I thought, "Sure, why not?" It's my fault as I didn't realize the publish date on this book, being from the 80s. I'm still going to read it, as it probably still provides a good theoretical/mathematical foundation on the topic, but it's pretty dated, as the examples it gives in the beginning talk about some things, like voice recognition, not being very practical yet (when of course, it's been practical for the better part of a decade now).

This book is very old but covers the foundations of GOFAI rather thoroughly. The great thing about this book is that it gives you perspective on how far we have come since the first baby steps of AI. Ultimately reading this book led me to the Soar project so I have to say it was worth every cent. This is an excellent book but consider it a history book, it is way too out of date to be of immediate use in learning practical techniques. ..Having said that, if you are learning AI, you should read this first.

As a Computer Programmer Analyst and a Computer Science graduate I believed this book is a good and intelligent book in the field of computer science and automata theory.I recommend student or anyone in the field to buy this book to place in the bookshelf for review.

~ Great Book! Many interesting & practically applicable games, concepts, theorems, & formulas. Just needs a Robotics Laws update, it only shows 3, when now there are now more laws, look it up in Wikipedia: Laws of Robotics. Be aware the latest publication copyright of this book is 1985 & has only been updated slightly as it mentions in description.

Great read. Scary to think that every prediction about the future will become true. Thought provoking. Very relevant for today

The book did a great job of elucidating the general types of problems encountered in AI. It predicted many of the problems we face today. Great starting off point for learning about the space.A bunch of the proofs went over my head, but were still explained well enough to grasp the concept.

I bought this book because it was recommended by many. The content is big but it deals with alot of History of AI. It is not recommended for people who wants to learn about how to implement AI in a very basic way.

Ein ausgezeichnetes Buch - v.a. in Hinblick auf Vorgehensweisen wie Alpha-Beta-Pruning, Minimax und dergleichen. Sehr verständlich geschrieben, scheut aber nicht das Detail. Mag ich sogar mehr als das Norvig-Buch (was auch sehr nett ist).

super

AI技術の基礎をなす様々な側面を、かなり詳しく丁寧に説明していて、優れた入門書である。ただし、本書が発行された時期との関係もあり、第3次AIブームと呼ばれる現在の状況との関連という点では、多少の物足りなさを禁じ得なかった。しかし、最新のAI技術に接する（関連本を読んだりする）際に、折に触れ本書を参照するというのも、有益なのではと感じた。

Not too bad for a second-hand book.