Artificial Intelligence and Expert Systems
Affirmative and Critical Approaches in the Humanities
1st Edition
Published on 20. April 2020
412 pages
978-1-68392-505-7 (ISBN)
Description
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 separatechapter on Prolog to introduce basic programming techniques in AI
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More details
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
File size
7,66 MB
ISBN-13
978-1-68392-505-7 (9781683925057)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
I. Gupta | G. Nagpal
Artificial Intelligence and Expert Systems
Book
04/2020
1st Edition
Mercury Learning & Information
€54.95
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I. Gupta | G. Nagpal
Artificial Intelligence and Expert Systems
E-Book
04/2020
1st Edition
Mercury Learning and Information
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Persons
Gupta I. :
I. Gupta teaches courses in Artificial Intelligence and specializes in expert system research.
Nagpal G. :
G. Nagpal teaches courses in Artificial Intelligence and specializes in expert system research.
Content
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
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
