Artificial Intelligence and Expert Systems

Paperback
April 2020
9781683925071
More details
  • Publisher
    Mercury Learning & Information
  • Published
    14th April
  • ISBN 9781683925071
  • Language English
  • Pages 412 pp.
  • Size 7" x 9"
$49.95
Lib E-Book

Library E-Books

We have signed up with three aggregators who resell networkable e-book editions of our titles to academic libraries. These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a “patron-driven demand” model.

These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus, but only from the following aggregators:

  • Ebook Library, a service of Ebooks Corporation Ltd. of Australia
  • ebrary, based in Palo Alto, a subsidiary of ProQuest
  • EBSCO / netLibrary, Alabama

as well as through the following wholesalers: The Yankee Book Peddler subsidiary of Baker & Taylor, Inc.

April 2020
9781683925057
More details
  • Publisher
    Mercury Learning & Information
  • Published
    6th April
  • ISBN 9781683925057
  • Language English
  • Pages 412 pp.
  • Size 7" x 9"
$149.95
E-Book (ePub)
April 2020
9781683925064
More details
  • Publisher
    Mercury Learning & Information
  • Published
    6th April
  • ISBN 9781683925064
  • Language English
  • Pages 412 pp.
  • Size 7" x 9"
$41.95

This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. It provides a general introduction to the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems: problems and state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog.

Features:

  • Introduces the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc.
  • Includes a separate chapter on Prolog to introduce basic programming techniques in AI

1. Introduction to Artificial Intelligence
2. Applications of Artificial Intelligence
3. Introduction to the State Space Search
4. Heuristic Search Strategies
5. Expert Systems
6. The Expert System Development Life Cycle
7. Knowledge Acquisition
8. Knowledge Representation
9. Neural Networks
10. The Learning Process
11. Fuzzy Logic
12. Fuzzy Systems
13. Fuzzy Expert Systems
14. Programming in Logic
15. Advanced Prolog

I. Gupta

I. Gupta teaches courses in Artificial Intelligence and specializes in expert system research.

G. Nagpal

G. Nagpal teaches courses in Artificial Intelligence and specializes in expert system research.