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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Suppose we wanted to determine whether or not the following string of symbols is a sentence in the language: The president of the new company approves the sale To set up this problem, we specify the following: The global database shall ...
When a problem has intuitively clear states and goals and when we choose to employ descriptions of these states as the global database of a production system, we say that the system is a forward production system.
Imagine that this production system has a global database, rules that can modify it, and a graph-search control strategy that generates a search tree of global databases. Now consider another production system whose global database is ...
Employing this conversion results in a more complex global database and rule set and in a simpler sort of control regime (irrevocable). This change in representation simply shifts the system description to a lower level. 1.2.2.
global database is a “molecule” consisting of individual “atoms” bound together in some way. If the applicability conditions of the rules involve tests on individual atoms only, and if the effects of the rules are to substitute a ...
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CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS
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