Get Free Ebook Thinking as Computation: A First Course (The MIT Press), by Hector J. Levesque
Get Free Ebook Thinking as Computation: A First Course (The MIT Press), by Hector J. Levesque
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Thinking as Computation: A First Course (The MIT Press), by Hector J. Levesque
Get Free Ebook Thinking as Computation: A First Course (The MIT Press), by Hector J. Levesque
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Review
A valuable resource for faculty in search of interesting course content for first-year undergraduates.―Choice
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About the Author
Hector J. Levesque is Professor Emeritus in the Department of Computer Science at the University of Toronto. He is the author of Common Sense, the Turing Test, and the Quest for Real AI, coauthor (with Gerhard Lakemeyer) of The Logic of Knowledge Bases, and coeditor (with Ronald J. Brachman) of Knowledge Representation and Reasoning, all three published by the MIT Press.
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Product details
Series: The MIT Press
Paperback: 322 pages
Publisher: The MIT Press; Reprint edition (August 11, 2017)
Language: English
ISBN-10: 0262534746
ISBN-13: 978-0262534741
Product Dimensions:
7 x 0.6 x 9 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
Average Customer Review:
4.8 out of 5 stars
4 customer reviews
Amazon Best Sellers Rank:
#1,146,492 in Books (See Top 100 in Books)
This book is a life-saver for anybody taking a Knowledge-Base and Prolog related course for the first time. In this book, the author assumes we are a dummy, without assuming we are stupid. He starts with a procedure for thinking in chapter two that prepares you for Prolog and knowledge base before really introducing it. Through sentence examples he proceeds to illustrate conceptually what a knowledge base is, and he does it in a way that anyone can understand. And he doesn't blow it - he pulls it off!He then goes on to Prolog, but you aren't just learning Prolog, you are learning it in context to solving programs. If you are taking any class involving knowledge bases, first-order logic, or prolog, I highly recommend this book. I am using it as a supplement to the higher-level knowledge representation textbook he coauthored. In that book it is strap on your seatbelt and have Google handy to translate the topics you should already know. Not so with this book. After reading chapters one and two, I felt like I had a conceptual underpinning to his harder textbook. Yeah, I still had to go search out supplemental first-order logic symbolic tutorials to understand his text...but those resources were for the formal symbolic stuff. This book is for the concepts behind it. It's a great book. The author being able to make such a complex topic seem so easy is commendable. Five Stars for this book - it's a life saver. If you want to truly understand the underpinnings of AI and Knowledge...buy this book. It makes the hard stuff easier, as you can only struggle with the hard stuff and not the concepts behind the hard stuff.
What a great book! I am an IT professional with 20 years of experience. I do not get to write code at work anymore so I code as a hobby. I like to write programs to solve puzzles such as Einstein riddle. I remember sweating for a few weeks writing a solution in Java. In prolog it is just a few lines and the book actually uses it as an example. I have read this book cover to cover and did most of the exercises. I am now preparing to apply what I have learned at work.
This book is an elementary undergraduate introduction to the basics of artificial intelligence. It does not require background in formal logic, mathematics or programming that more advanced books. It moves slowly through the material trying to insure that the reader has mastered one concept before moving onto the next. While I would opt, at times, for an alternative Prolog format, I assume that the authors pedagogical experience formed their choices.This is a textbook at succeeds in teaching what it set out to teach - not exciting but effective.
Perfect book to know the power of AI without delving much into complexity
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