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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... 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 Exercises 317 CHAPTER 8: ADVANCED PLAN-GENERATING SYSTEMS 321 ...
... REPRESENTATIONS 361 From Predicate Calculus to Units 362 A Graphical Representation: Semantic Networks 370 Matching 378 Deductive Operations on Structured Objects 387 Defaults and Contradictory Information 408 Bibliographical and ...
... representations. One of the goals of this book is to fill a gap between theory and practice. AI theoreticians have little difficulty in communicating with each other; this book is not intended to contribute to that communication ...
... representation and processing that do find application in language-processing systems. 0.1.2. INTELLIGENT RETRIEVAL FROM DATABASES Database systems are computer systems that store a large body of facts about some subject in such a way ...
... representation depend on the goals of the perceiving system. If colors are important, they must be noticed; if ... representations of a scene to develop hypotheses about the components of a description. These hypotheses are then tested ...
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