Artificial Intelligence and Expert Systems
Affirmative and Critical Approaches in the Humanities
1. Auflage
Erschienen am 20. April 2020
412 Seiten
978-1-68392-505-7 (ISBN)
Beschreibung
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
Alle Preise
Weitere Details
Sprache
Englisch
Verlagsort
Herndon, VA
USA
Zielgruppe
Für Beruf und Forschung
US School Grade: College Graduate Student
Dateigröße
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 Klassifikation
Weitere Ausgaben
Personen
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.
Inhalt
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
