Principles of Artificial Intelligence

Nils J. Nilsson

ISBN 10: 3540113401 / ISBN 13: 9783540113409

Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 1982

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Neuware - 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, intelligent data retrieval systems, etc. The major difficulty with this approach is that these application areas are now so extensive, that each could, at best, be only superficially treated in a book of this length. Instead, I have attempted here to describe fundamental AI ideas that underlie many of these applications. My organization of these ideas is not, then, based on the subject matter of their application, but is, instead, based on general computational concepts involving the kinds of data structures used, the types of operations performed on these data struc tures, and the properties of con'trol strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and the predicate calculus. The notes on which the book is based evolved in courses and seminars at Stanford University and at the University of Massachusetts at Amherst. Although certain topics treated in my previous book, Problem solving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.

Codice articolo 9783540113409

Dati bibliografici

• Titolo: Principles of Artificial Intelligence
• Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Data di pubblicazione: 1982
• Lingua: Inglese
• ISBN 10: 3540113401
• ISBN 13: 9783540113409
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 261 L x 182 A x 31 P (millimetri) 261 millimetri di larghezza per 182 millimetri di altezza per 31 millimetri di profondità
• Peso: 1010 grammi

Descrizione articolo

Riassunto

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, intelligent data retrieval systems, etc. The major difficulty with this approach is that these application areas are now so extensive, that each could, at best, be only superficially treated in a book of this length. Instead, I have attempted here to describe fundamental AI ideas that underlie many of these applications. My organization of these ideas is not, then, based on the subject matter of their application, but is, instead, based on general computational concepts involving the kinds of data structures used, the types of operations performed on these data struc­ tures, and the properties of con'trol strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and the predicate calculus. The notes on which the book is based evolved in courses and seminars at Stanford University and at the University of Massachusetts at Amherst. Although certain topics treated in my previous book, Problem­ solving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.

Contenuti

Prologue.- 1: Production Systems and AI.- 2: Search Strategies for AI Production Systems.- 3: Search Strategies for Decomposable Production Systems.- 4: The Predicate Calculus in AI.- 5: Resolution Refutation Systems.- 6: Rule-Based Deduction Systems.- 7: Basic Plan-Generating Systems.- 8: Advanced Plan-Generating Systems.- 9: Structured Object Representations.- Prospectus.- Author Index.