The Prentice Hall Essence of Computing Series provides a concise, practical and uniform introduction to the core components of an undergraduate computer science degree. Acknowledging the recent changes within Higher Education, this approach uses a variety of pedagogical tools - case studies, worked examples and self-test questions, to underpin the student's learning.
The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.
Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.
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From the Back Cover
This is a practical, highly-accessible introduction to the state-of-the-art in artificial intelligence.This book demystifies artificial intelligence, making it concrete and transparent. It covers knowledge representation, inference, expert systems, natural language processing, machine learning, neural networks, agents, robots, and more. The book includes extensive self-test questions, case studies, figures, worked examples, sample algorithms and a complete glossary.For anyone interested in artificial intelligence; no prior background is required.
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Most Helpful Customer Reviews
11 of 11 people found the following review helpful:
5.0 out of 5 stars
Wonderfully simple and sweet,
By
This review is from: The Essence of Artificial Intelligence (Paperback)
This is a wonderfully compact introduction to the basic concepts of Artifical Intelligence. You probably aren't going to be able to go and write your own AI after reading this but at least you'll have enough background to read a more detailed text and some of the scientific literature out there. If you've picked up other AI books and felt lost then start here, you won't regret it.
5 of 6 people found the following review helpful:
5.0 out of 5 stars
Very readable introductory text,
By
This review is from: The Essence of Artificial Intelligence (Paperback)
This is a very readable introductory text. Its coverage of topics is surprisingly good for such a slender volume. I especially liked the chapter on searching--the examples are very clear.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
A good overview and introduction to the field of AI,
By Sean (Tampa, Fl United States) - See all my reviews
This review is from: The Essence of Artificial Intelligence (Paperback)
This book a a great starting point for studying Artificial Intelligence. For those with a Computer Science background, the book is a quick read that will show how theories such as data structures and search algorithms apply to the different areas of AI. For those without a background in computers, the book will take longer to read and for deeper understanding of some subjects other texts may need to be consulted. However, it is still one of the easiest-to-understand books on AI as most are extemely lengthy and detailed beyond the scope of what most beginners are able to understand.
The book is well written and explains complicated topics in plain English. Figures are used effectively to explain certain concepts. An extremely helpful feature is that every chapter is summarized and further references on that topic are given with a short description of the strength and weaknesses of each reference. I would definitely recommend this book to those who want to learn about AI. Its a great starting point that can lead you in the right direction if you want to study a particular topic in further detail.
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Inside This Book
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First Sentence:
Artificial intelligence (AI) is a broad field, and means different things to different people. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
practical vision systems, game playing systems, version space learning, inferential adequacy, backward chaining system, chaining systems, simple search techniques, evoking strength, first last year, knowledge representation methods, knowledge representation languages, certainty factors, decision tree induction, simple perceptron, predicate logic, expert system development, best first search, depth first search, expert system shell, initial facts Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Artificial intelligence (AI) is a broad field, and means different things to different people. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
practical vision systems, game playing systems, version space learning, inferential adequacy, backward chaining system, chaining systems, simple search techniques, evoking strength, first last year, knowledge representation methods, knowledge representation languages, certainty factors, decision tree induction, simple perceptron, predicate logic, expert system development, best first search, depth first search, expert system shell, initial facts Key Phrases - Capitalized Phrases (CAPs): (learn more)
British Airways New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 25
books:
See all 25 books this book cites
5
books
cite this book:
- Artificial Intelligence (Macmillan Computer Science Series) by Ian Pratt on page 7, page 166, and Back Matter
- Artificial Intelligence and the Design of Expert Systems (The Benjamin/Cummings series in artificial intelligence) by George F. Luger on page 7, and Back Matter
- Introduction to Robotics (Electronic Systems Engineering Series) by Phillip John McKerrow on page 177, and Back Matter
- Artificial Intelligence by Elaine Rich on page 7, and Back Matter
- Essentials of Artificial Intelligence by Matt Ginsberg on page 7, and Back Matter
See all 25 books this book cites
- Get Get Set for Computer Science (Get Set for University) by Alistair Edwards on page 97, and Back Matter
- Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques by Edmund K. Burke on page 17
- Thinking on the Web: Berners-Lee, Gödel and Turing by H. Peter Alesso in Back Matter
- Spatial Evolutionary Modeling (Spatial Information Systems) by Roman M. Krzanowski on page 58
- Developing Semantic Web Services by H.Peter Alesso on page 420
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