Principles of Artificial Intelligence
Morgan Kaufmann, Jun 28, 2014 - Computers - 476 pages
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: : CHAPTER 2: CHAPTER 3: Some Applications of Artificial Intelligence 2 Overview 9 Bibliographical and Historical Remarks 10 PRODUCTION SYSTEMS AND AI 17 Production Systems 17 Specialized Production Systems 35 Comments on the ...
CHAPTER 4: THE PREDICATE CALCULUS IN AI 131 4.1. Informal Introduction to the Predicate Calculus 131 4.2. Resolution 145 4.3. The Use of the Predicate Calculus in AI 152 4.4. Bibliographical and Historical Remarks 156 Exercises 156 ...
CHAPTER 8: ADVANCED PLAN-GENERATING SYSTEMS 321 | | CHAPTER 9: : ! : PROSPECTUS : RSTRIPS 321 DCOMP 333 Amending Plans 342 Hierarchical Planning 349 Bibliographical and Historical Remarks 357 Exercises 358 STRUCTURED OBJECT ...
A one-quarter course would be somewhat hurried unless some material (perhaps parts of chapter 6 and chapter 8) is omitted. The exercises at the end of each chapter are designed to be thoughtprovoking. Some expand on subjects briefly ...
OVERVIEW The book is divided into nine chapters and a prospectus. In chapter 1, we introduce a generalized production system and emphasize its importance as a basic building block of AI systems. Several distinctions among production ...
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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