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Artificial Intelligence in the 21st Century Second Edition, by Stephen Lucci, Danny Kopec
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This new edition provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book[Companion files available from publisher with Amazon order number by writing to info@merclearning.com]. Numerous instructors’ resources are available upon adoption.
Features
+Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP
+Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations
+Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest
+Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications
+Features over 300 figures and color images with worked problems
detailing AI methods and solutions to selected exercises
+Includes DVD with resources, simulations, and figures from the book[Companion files available from publisher with Amazon order number by writing to info@merclearning.com].
+Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.
Brief Table of Contents
1: Overview of Artificial Intelligence. 2: Uninformed Search. 3: Informed Search. 4 : Search Using Games. 5: Logic in Artificial Intelligence. 6: Knowledge Representation. 7: Production Systems. 8: Uncertainty in AI. 9: Expert Systems. 10: Machine Learning: Inductive Learning. 11: Machine Learning: Neural Networks. 12: Search Inspired by Mother Nature. 13: Natural Language Processing. 14: Automated Planning. 15: Robotics. 16: Advanced Computer Games. 17: Reprise. Appendices. Index.
On the DVD[Companion files available from publisher with Amazon order number by writing to info@merclearning.com].
+Applications (expert systems, robotics, fuzzy logic, and more)
+All images from the text (including 4-color originals)
+Solutions to selected exercises
About the Authors
+Stephen Lucci holds a PhD from the CUNY Graduate School and currently teaches computer science at The City College of New York. Dr. Lucci has published in the areas of high performance computing and has been co-PI on education grants from NASA MU-SPIN.
+Danny Kopec holds a PhD from the University of Edinburgh and teaches at Brooklyn College and the CUNY Graduate Center. He has authored several books, conference and journal articles, and is an International Chess Master.
- Sales Rank: #993195 in eBooks
- Published on: 2015-12-14
- Released on: 2015-12-14
- Format: Kindle eBook
About the Author
Stephen Lucci holds a Ph.D. from the CUNY Graduate School and currently teaches computer science at The City College of New York. Dr. Lucci has published in the areas of high performance computing and has been co-PI on education grants from NASA MU-SPIN.
Danny Kopec taught at Brooklyn College and the CUNY Graduate Center. He authored several books, conference and journal articles, and was an International Chess Master.
Most helpful customer reviews
20 of 24 people found the following review helpful.
Fail.
By A. Smith
Some background: I'm a prof teaching AI, and I wanted something a little more approachable for undergrads than Russell & Norvig. I adopted Lucci & Kopec mostly due to its conversational writing style, that I felt would encourage students to read on their own, and to understand the material. I should have read more than the intro before making my decision--it was a lousy choice.
The examples are poorly concocted, and the figures are unclear. For example, they introduce Dijkstra's Algorithm, but call it by another name (the "greedy algorithm", ignoring that there's a whole *class* of algorithms considered greedy), and proceed to work through it without adequately explaining reasoning or motivation at each step. Tree figures demonstrating minimax are unholy messes that look like they were whipped out in PowerPoint, with extraneous junk and poor or no use of color/shading to clarify. Errors abound, and yet I can find no errata online. The minimax tree for randomized-nim is inconsistent, leading to an erroneous decision, which propagates all the way back to the text. Figures for chess problems (e.g. n-queens) use letters for pieces rather than the accepted, standard icons--making them quite difficult to read. They can't even be bothered to use the proper wedge symbols for logical "and" and "or", instead using combinations of slashes ("/\" and "\/"). Typesetting is a *must* in any professional book, and Lucci & Kopec lacks it. How can you be a CS prof without knowing LaTeX?! These examples go on and on.
I'm now looking forward to a semester fighting my textbook, rather than using it as a valuable tool. This is a pity...the *style* of the book is strong, and is good for students. But they didn't spend enough effort editing the *substance*, and that makes this book nearly worthless. It should have been better.
6 of 6 people found the following review helpful.
Best Since Norvig and Russell
By N-Smith
The variety of areas covered in this AI textbook makes it one of the most comprehensive and best book on Artificial Intelligence since Norvig and Russell's modern Approach. I loved the coverage on Informed Searches and Logic. It is the new must have in AI textbooks. The examples are new, relevant and much easier to understand than previous texts. This is one of the few books that I kept from my studies.
1 of 1 people found the following review helpful.
A fantastic overview of the field
By JARED R CLEMENCE
The book is a great overview of the science. It covers many topics, but goes into none of them in depth. I enjoy the frequent addition of side-bar biographies of key people. After reading this book, you should have a good understanding of the layout of the field of Artificial Intelligence as it stands today, and have an idea of where you would like to start searching next for deeper understanding. While the book does have you 'get your feet wet' with several questions and programming challenges at the end of each chapter, you should not expect to be an expert in any one of the fields of AI when you finish reading this overview.
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