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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... 9 Bibliographical and Historical Remarks 10 PRODUCTION SYSTEMS AND AI 17 ... AND/OR Graphs 99 AO*: A Heuristic Search Procedure for AND/OR Graphs 103 ...
A rule is selected, and if it doesn't lead to a solution, the intervening ... Formally, the backtracking strategy can be used regardless of how much or ...
Suppose we decide to use a graph-search control regime in solving the ... We can keep track of the various rules applied and the databases produced by ...
... system because the application of a rule never needs to be taken back or undone. ... rules that can modify it, and a graph-search control strategy that ...
Structures called AND/OR graphs are useful for depicting the activity of production systems under this control regime. We show an example AND/OR tree for ...
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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