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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... structures used, the types of operations performed on these data structures, and the properties of control strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and ...
... structure” from one brain to another under circumstances in which each brain possesses large, highly similar, surrounding mental structures that serve as a common context. Furthermore, part of these similar, contextual mental structures ...
... structures for representing contextual knowledge and certain techniques for making inferences from that knowledge. Although we do not treat the language-processing problem as such in this book, we do describe some important methods for ...
... structures for complex organic chemicals, and even provide advice about how to use other computer systems. A key problem in the development of expert consulting systems is how to represent and use the knowledge that human experts in ...
... researchers have suggested that this knowledge be organized in special structures called frames or schemas. For example, when a 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