Principles of Artificial Intelligence
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.
Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
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Bibliographical and Historical Remarks 267 Exercises 270 CHAPTER 7: BASIC PLAN-GENERATING SYSTEMS 275 Robot Problem Solving 275 A Forward Production System ...
... namely, natural language processing, automatic programming, robotics, ... book contains many additional topics such as rule-based systems, robot problem ...
ROBOTICS The problem of controlling the physical actions of a mobile robot might not seem to require much intelligence. Even small children are able to ...
It has been found that it is often much more efficient to produce an inexpensive, errorful solution to a programming or robot control problem and then ...
... then testing these hypotheses seems to offer an approach to this problem. ... For example, when a robot enters a room through a doorway, it activates a ...
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CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS