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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CHAPTER 1 PRODUCTION SYSTEMS AND AI Most AI systems display a more
or less rigid separation between the standard computational components of data,
operations, and control. That is, if these systems are described at an appropriate
Although there is no formal difference between a production system that works on
a problem in a forward direction and one that works in a backward direction, it is
often convenient to make this distinction explicit. When a problem has intuitively ...
R1 R.3 Commutative production systems are an important subclass enjoying
special properties. For example, an irrevocable control regime can always be
used in a commutative system because the application of a rule never needs to
corresponding to the global database, the rules, and the control subdivisions of
production systems. ... In an intelligent information retrieval system, for example,
the declarative knowledge would include the main database of specific facts.
CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS In this
chapter we examine some control strategies for ... Other subsidiary but important
tasks of the control system include checking rule applicability conditions, testing
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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