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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Nils J. Nilsson. 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 ... PRODUCTION Systems and AI Production Systems.
... production systems . The knowledge about a problem that is represented in the global database is sometimes called declarative knowledge . In an intelligent information ... PRODUCTION SYSTEMS AND AI Bibliographical and Historical Remarks.
Nils J. Nilsson. CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS In this chapter we examine some control strategies for AI production systems . Referring to the basic procedure for production systems given on page 21 , the ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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