Pearson Artificial Intelligence: A Guide to Intelligent Systems, 3RD EDITION

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Pearson Artificial Intelligence: A Guide to Intelligent Systems, 3RD EDITION [Michael Negnevitsky] on desertcart.com. *FREE* shipping on qualifying offers. Pearson Artificial Intelligence: A Guide to Intelligent Systems, 3RD EDITION Review: Amazing book. Decent quality print, you get what you pay for. - I already had an e-book of this book, and got through the second chapter, so I wanted a physical copy. All of the other printed versions on desertcart were a bit pricy, but this was the cheapest option. Firstly, the contents of the book are fantastic, there's a reason I went out of my way to get a physical copy. It really does what it says on the tin, explain state-of-the-art AI concepts in simple, easy to understand ways without getting too much into math. Thanks to this book, I was able to write my own production rule system from scratch, only with the general knowledge this book gave me as well as some theory from implementations like ACT-R. And it covers production systems in the very second chapter (the first chapter is just a history lesson). I especially love how light it is on the math, because I really don't know much of it and I don't particularly care to learn. All I need is the theory, and I'm more than capable of writing the code to implement the architecture. However, it does say it's for people who know virtually nothing about programming, which I disagree with. I've been developing for over a decade and I don't think I could implement things like a production rule system without my years of experience. It was quite an engineering experiment for me and I had to invent a lot of things that a beginner would never think of. If you're a beginner, and you want to try writing a hybrid connectionist-symbolic cognitive architecture that uses production rule systems, I would put it on hold and instead start writing games from scratch. Writing a game engine will help you learn how to design a modular, fault-tolerant system that has some basic artificial intelligence in it already. Then you should try moving on to writing a cognitive architecture. There's way more published works and theory in writing game engines than AI, so there's a lot more for you to learn in that field, which will help you learn how to make any kind of software architecture, because you definitely need a lot of development theory to make a cognitive architecture. Games are a solved issue, AI is still highly experimental, so if you're still new at programming, I would go with games for now. I'm definitely not saying you shouldn't at least read this book because you will definitely learn interesting AI theory, but just know you'll have a very hard time actually trying to write any software that this book covers. Now, about this specific printed edition. The print isn't awful, but you do get what you pay for. The book is smaller than I expected, but perfectly readable. The pages are a little cheap but not too cheap. The printed text itself is often crooked and some words are faded. Some of the pages have bent corners and the cover had some scuffs. I assume I bought this brand new, but you could mistake it for being gently used. All in all, I'm happy with my purchase, it's more than good enough for me and I got to save a few dozen bucks. The only thing I don't understand is, on the upper left corner of the cover, it says "Circulation of this edition outside the Indian subcontinent is unauthorized." I live in the US, so I'm not sure how they got this over to me. Review: Comprehensive History of AI - Excellent scope of aspects of AI. Text book format with comprehensive summaries at the end of each chapter.