Principles of Artificial Intelligence

Nils J. Nilsson (Autor)

Buch | Softcover

XVI, 476 Seiten

2014 | 1. Softcover reprint of the original 1st ed. 1982
Springer Berlin (Verlag)
978-3-662-09440-2 (ISBN)

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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.

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.

Erscheint lt. Verlag	23.8.2014
Reihe/Serie	Artificial Intelligence
Reihe/Serie	Symbolic Computation
Zusatzinfo	XVI, 476 p.
Verlagsort	Berlin
Sprache	englisch
Maße	170 x 244 mm
Gewicht	846 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika
	Mathematik / Informatik ► Mathematik ► Logik / Mengenlehre
Schlagworte	Intelligence • Künstliche Intelligenz
ISBN-10	3-662-09440-1 / 3662094401
ISBN-13	978-3-662-09440-2 / 9783662094402
Zustand	Neuware