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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AI System Architectures 418 10.2. Knowledge Acquisition 419 10.3. Representational Formalisms 422 BIBLIOGRAPHY 429 AUTHOR INDEX 467 SUBJECT INDEX 471 PREFACE Previous treatments of Artificial Intelligence (AI) divide the subject.
PREFACE Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, ...
I also want to thank all my friends and colleagues in the Artificial Intelligence Center at SRI. One could not find a more dynamic, intellectually stimulating, and constructively critical setting in which to work and write.
We might say that such systems possess some degree of artificial intelligence. Most of the work on building these kinds of systems has taken place in the field called Artificial Intelligence (AI). This work has had largely an empirical ...
SOME APPLICATIONS OF ARTIFICIAL INTELLIGENCE 0.1.1. NATURAL LANGUAGE PROCESSING When humans communicate with each other using language, they employ, almost effortlessly, extremely complex and still little understood processes.
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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