Introduction to expert systems / (Record no. 2569)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 080326s1999 enk b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 98050592
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0201876868
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780201876864
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u358
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 006.3/3
Edition number 21
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jackson, Peter,
Dates associated with a name 1948-
9 (RLIN) 806
245 10 - TITLE STATEMENT
Title Introduction to expert systems /
Statement of responsibility, etc. Peter Jackson.
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Harlow, England ;
-- Reading, Mass. :
Name of publisher, distributor, etc. Addison-Wesley,
Date of publication, distribution, etc. c1999.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 542 p. ;
Dimensions 24 cm.
490 0# - SERIES STATEMENT
Series statement International computer science series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. [514]-531) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. What Are Expert Systems? -- 2. An Overview of Artificial Intelligence -- 3. Knowledge Representation -- 4. Symbolic Computation -- 5. Rule-Based Systems -- 6. Structured Objects -- 7. Object-Oriented Programming -- 8. Logic Programming -- 9. Representing Uncertainty -- 10. Knowledge Acquisition -- 11. Heuristic Classification -- 12. Heuristic Classification (II) -- 13. Hierarchical Hypothesise and Test -- 14. Constructive Problem Solving (I) -- 15. Constructive Problem Solving (II) -- 16. Designing for Explanation -- 17. Tools for Building Expert Systems -- 18. Blackboard Systems -- 19. Truth Maintenance Systems -- 20. Machine Learning -- 21. Belief Networks -- 22. Case Based Reasoning -- 23. Hybrid Systems -- 24. Summary and Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc. In May 1997, IBM's Deeper Blue defeated the world chess champion Gary Kasparov, showing that an artificial intelligence system can outplay even the most skilled of human experts. Since the first expert systems appeared in the late sixties, we have seen three decades of research and development engineer human knowledge to more practical ends, in a pioneering effort that has integrated diverse areas of cognitive and computer science. Today, expert systems exist in many forms, from medical diagnosis to investment analysis and from counseling to production control. This third edition of Peter Jackson's best-selling book updates the technological base of expert systems research and embeds those developments in a wide variety of application areas. The earlier chapters have been refocused to take a more practical approach to the basic topics, while the later chapters introduce new topic areas such as case-based reasoning,
520 ## - SUMMARY, ETC.
Summary, etc. connectionist systems and hybrid systems. Results in related areas, such as machine learning and reasoning with uncertainty, are also accorded a thorough treatment. The new edition contains many new examples and exercises, most of which are in CLIPS, a language that combines production rules with object-oriented programming. LISP, PROLOG and C++ are also featured where appropriate. Interesting problems are posed throughout, and are solved in exercises involving the analysis, design and implementation of CLIPS programs. This book will prove useful to a wide readership including general readers, students and teachers, software engineers and researchers. Its modular structure enables readers to follow a pathway most suited to their needs, providing them with an up-to-date account of expert systems technology. Peter Jackson is Director of Research at West Group, a division of The Thomson Corporation and the leading provider of information to the US legal market. Peter drives the application of natural language and information retrieval technologies to the information needs of law and business. Previous appointments include Principal Scientist at the McDonnell Douglas Research Laboratories in Saint Louis, Missouri, and Lecturer in the Department of Artificial Intelligence at the University of Edinburgh, Scotland.
596 ## -
-- 1
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title CIT.
9 (RLIN) 14
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Expert systems (Computer science)
9 (RLIN) 952
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 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 AUC-P 1 006.33 / JA.I 1999 000409 11/22/2025 10/13/2025 1 11/24/2019 Books