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
Results 6-10 of 87
... proving theorems using resolution are discussed in chapter 5. We indicate how several different kinds of problems can be posed as theorem-proving problems. Chapter 6 examines some of the inadequacies of simple resolution systems and ...
... proving. An introductory book by Jackson (1974) treats these problem-solving ideas and also describes applications to natural language processing and image analysis. The book by Hunt (1975) treats pattern recognition, as well as other ...
... circuits; and Genesereth (1978, 1979), for helping casual users of the MACSYMA mathematical formula manipulation system [Martin and Fateman (1971)]. 0.3.4. THEOREM PROVING Early applications of AI ideas to proving 12 PROLOGUE.
... proving. Resolution theorem proving is thoroughly explained in books by Chang and Lee (1973), Loveland (1978), and Robinson (1979). Bledsoe and his co-workers have developed impressive theorem-proving systems for analysis [Ballantyne ...
... proving techniques. Surveys by Biermann (1976) and by Hammer and Ruth (1979) discuss several approaches to automatic programming. The PSI project of Green (1976) includes several components, one of which is a rule-based system for ...
Contents
1 | |
17 | |
CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS | 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 |