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.
Results 1-5 of 39
... Robot Problem Solving 275 A Forward Production System 281 A Representation for Plans 282 A Backward Production System 287 STRIPS 298 Using Deduction Systems to Generate Robot Plans 307 7.7. Bibliographical and Historical Remarks 315 ...
... robotics, machine vision, automatic theorem proving, intelligent data retrieval systems, etc. The major difficulty ... robot problem-solving systems, and structured-object representations. One of the goals of this book is to fill a gap ...
... problems. For these reasons, theorem proving is an extremely important topic in the study of AI methods. 0.1.5. ROBOTICS The problem of controlling the physical actions of a mobile robot might not seem to require much intelligence. Even ...
... robot control problem and then modify it (to make it work correctly), than to insist on a first solution completely free of defects. 0.1.7. COMBINATORIAL AND SCHEDULING ... problems (including the traveling salesman problem) are 6 PROLOGUE.
... problem. Systems have been constructed that process suitable representations of a scene to develop hypotheses about ... robot enters a room through a doorway, it activates a room schema, which loads into working 8 PROLOGUE.
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