Principles of Artificial IntelligenceA 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. |
From inside the book
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... contains many additional topics such as rule - based systems , robot problem - solving systems , and structured - object representations . One of the goals of this book is to fill a gap between theory and practice . Al theoreticians ...
... containing ʼn nodes such that the path visits each of the n nodes precisely once . Many puzzles have this same general character . Another example is the 8 - queens problem , where the problem is to place eight queens on a standard ...
... contain the knowledge that windows typically do not touch the floor . A special detector , applied to the scene , confirms this expectation , thus raising confidence in the window hypothesis . We discuss some of the fun- damental ideas ...
... contains many references . Michie's ( 1974 ) book contains several of his articles on AI . Raphael's ( 1975 ) book and Winston's ( 1977 ) book are easy - to - read and elementary treatments of AI ideas . The latter contains an excellent ...
... contain several important papers . Work in language processing draws on several disciplines besides AI- most ... contains several descriptions of systems for querying databases using simplified natural language . 0.3.3 . EXPERT ...
Contents
| 1 | |
| 17 | |
| 53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |