Artificial intelligence : (Record no. 2419)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100206s2005 nyua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2004051817
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0321204662
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780321204660
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u3418
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNU
Transcribing agency EG-CaNU
Modifying agency EG-CaNU
042 ## - AUTHENTICATION CODE
Authentication code ncode
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.33
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Negnevitsky, Michael.
9 (RLIN) 6751
245 10 - TITLE STATEMENT
Title Artificial intelligence :
Remainder of title a guide to intelligent systems /
Statement of responsibility, etc. Michael Negnevitsky.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Harlow, England ;
-- New York :
Name of publisher, distributor, etc. Addison-Wesley,
Date of publication, distribution, etc. 2005.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 415 p. :
Other physical details ill. ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction To Knowledge-Based Intelligent Systems -- 2 Rule-Based Expert Systems -- 3 Uncertainty Management In Rule-Based Expert Systems -- 4 Fuzzy Expert Systems -- 5 Frame-Based Expert Systems -- 6 Artificial Neural Networks -- 7 Evolutionary Computation -- 8 Hybrid Intelligent Systems -- 9 Knowledge Engineering And Data Mining.
520 ## - SUMMARY, ETC.
Summary, etc. Artificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses. Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses will be described and program examples will be given in Java. The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contempory coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Expert systems (Computer science)
9 (RLIN) 952
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 1994
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main library Main library General Stacks 01/26/2020 GIFT 1 1 006.33 / NE.A 2005 005985 05/11/2022 02/20/2022 1 11/24/2019 Books