Artificial Intelligence (3rd Edition) 3rd Edition by Winston (PDF)

Description

This book explains how it is possible for computers to reason and perceive, thus introducing the field called artificial intelligence. From the book, you learn why the field is important, both as a branch of engineering and as a science. If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence. The Knowledge You Need This completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth

User’s Reviews

Editorial Reviews: Amazon.com Review This book is one of the oldest and most popular introductions to artificial intelligence. An accomplished artificial intelligence (AI) scientist, Winston heads MIT’s Artificial Intelligence Laboratory, and his hands-on AI research experience lends authority to what he writes. Winston provides detailed pseudo-code for most of the algorithms discussed, so you will be able to implement and test the algorithms immediately. The book contains exercises to test your knowledge of the subject and helpful introductions and summaries to guide you through the material. From the Back Cover This book explains how it is possible for computers to reason and perceive, thus introducing the field called artificial intelligence. From the book, you learn why the field is important, both as a branch of engineering and as a science.If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence.The Knowledge You NeedThis completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth maintenance, planning, and cognitive modeling. Part II is about learning, the sine qua non of intelligence. Some methods involve much reasoning; others just extract regularity from data. The material covered includes near-miss analysis, explanation-based learning, knowledge repair, case recording, version-space convergence, identification-tree construction, neural-net training, perceptron convergence, approximation-net construction, and simulated evolution. Part III is about visual perception and language understanding. You learn not only about perception and language, but also about ideas that have been a major source of inspiration for people working in other subfields of artificial intelligence. The material covered includes object identification, stereo vision, shape from shading, a glimpse of modern linguistic theory, and transition-tree methods for building practical natural-language interfaces.Special Features of this Edition Based on extensive teaching experience Semiformal representation and procedure specifications bring the ideas to within a step or two of implementation and highlight unifying themes. Application examples provide a glimpse of the ideas at work in real-world systems. Powerful ideas and principles are identified and emphasized. 0201533774B04062001 About the Author About Patrick Henry Winston Well-known author Patrick Henry Winston teaches computer science and directs the Artificial Intelligence Laboratory at theMassachusetts Institute of Technology. 0201533774AB04062001 Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This book is great for people who are not formally educated in computer science but would like to know more about the applications of AI.

⭐Timely delivery and book quality as advertised

⭐Some chapters covers great deal of information and it is pretty clear in this book. (R&N information overloads sometimes)Pretty much worth four starts.Example==========================Chapter 21 compared to R&N chapter 18 my opinion is it is better in this book on basic theory.R&N information overloads in most cases it diverts busy reader (working students) getting the basics first.

⭐This book is decent but it is showing its age both in terms of content and style. The theory explored is still relevant and it is a good companion to an AI course.

⭐It’s too bad that MIT OCW doesn’t have a series of video lectures to accompany this textbook. But then again, if the textbook is good enough, it won’t need lectures.

⭐A great intro to the psychology and technology behind AI. Even though the book is 20 some years old, it is a true asset to any mathematician’s or programmer’s library.Jason R.S.

⭐good

⭐New as expected.

⭐good quality.

⭐As expected and fast delivery

⭐Il libro è un ottimo libroIl libro è giunto nei tempi indicati ed anche se usato è in ottime condizioni.

⭐

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