Principles of Artificial Intelligence

Nils J. Nilsson

• Editorial: Morgan Kaufmann
• Año: 2014
• ISBN:
  9781483295862
• Categoría: Ciencia de la computación
• Categoría: Tratamiento de datos

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 Intelligence evolved 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.

Índice

• Front Cover
• Principles of Artificial Intelligence
• Copyright Page
• Table of Contents
• PREFACE
• ACKNOWLEDGEMENTS
• CREDITS
• PROLOGUE
• CHAPTER 1. PRODUCTION SYSTEMS AND AI
• 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. RULE-BASED DEDUCTION SYSTEMS
• CHAPTER 7. BASIC PLAN-GENERATING SYSTEMS
• CHAPTER 8. ADVANCED PLAN-GENERATING SYSTEMS
• CHAPTER 9. STRUCTURED OBJECT REPRESENTATIONS
• PROSPECTUS
• BIBLIOGRAPHY
• AUTHOR INDEX
• SUBJECT INDEX