Artificial Intelligence and Expert Systems

Paperback
April 2020
9781683925071
More details
  • Publisher
    Mercury Learning and Information
  • Published
    14th April 2020
  • ISBN 9781683925071
  • Language English
  • Pages 412 pp.
  • Size 7" x 9"
$49.95
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April 2020
9781683925057
More details
  • Publisher
    Mercury Learning and Information
  • Published
    6th April 2020
  • ISBN 9781683925057
  • Language English
  • Pages 412 pp.
  • Size 7" x 9"
$149.95
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April 2020
9781683925064
More details
  • Publisher
    Mercury Learning and Information
  • Published
    6th April 2020
  • ISBN 9781683925064
  • Language English
  • Pages 412 pp.
  • Size 7" x 9"
$49.95

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

"Artificial Intelligence and Expert Systems covers the latest applications and techniques of AI in problem-solving environments, surveying logic, neural networks, fuzzy logic, and more, comparing them to conventional computer systems and approaches. There are numerous branches to AI and this covers their various incarnations and uses, providing programmers with an overview of different programming approaches for each. From math formulas to exercises, this provides an outstanding overview programmers new to AI will especially appreciate."

- Midwest Book Review

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.

state space search; heuristic search strategies; expert system development life cycle; knowledge engineering; advanced prolog; fuzzy logic; fuzzy systems; fuzzy expert systems; problem solving; neural networks; formal logic