Principles of artificial intelligence / Nils J. Nilsson.
By: Nilsson, Nils J
.
Material type: 
BookPublisher: Los Altos, Calif. : Morgan Kaufmann, Publishers, [1986] 1980Description: xv, 476 p. : ill. ; 24 cm.ISBN: 0934613109.Subject(s): Artificial intelligenceDDC classification: 006.3
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Store Item | 006.3 (Browse shelf(Opens below)) | 1 | Available | 00021113 |
Enhanced descriptions from Syndetics:
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.
Bibliography: p. 429-465. - Includes indexes.
Table of contents provided by Syndetics
- 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 Sytems
- Chapter 9 Structured Object Representations Prospectus
Author notes provided by Syndetics
Nils John Nilsson was born in Saginaw, Michigan on February 6, 1933. He received a bachelor's degree and a Ph.D. in electrical engineering from Stanford University. He joined the Air Force and served three years at the Rome Air Development Center before joining the Stanford Research Institute in 1961.He helped develop the first general-purpose robot and was a co-inventor of algorithms that made it possible for the machine to move about efficiently and perform simple tasks. He later worked on the "Computer-based Consultant," which focused on natural language understanding. He wrote several books including Learning Machines: Foundations of Trainable Pattern-Classifying Systems and The Quest for Artificial Intelligence: A History of Ideas and Achievements. He died on April 21, 2019 at the age of 86.
(Bowker Author Biography)