Advanced Searches, Knowledge Representation and Reasoning (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New

Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
US$ 14.68
Quantity: 1 available
Add to basketItem description from seller
Paperback. Advanced Searches, Knowledge Representation and Reasoning - Volume 2 explores the techniques that allow Artificial Intelligence systems to search for solutions, represent knowledge, and reason from available information.The book covers advanced search techniques, constraint satisfaction, game playing, minimax, alpha-beta pruning, propositional logic, first-order logic, inference rules, unification, resolution, forward chaining, backward chaining, and knowledge-based systems. It also introduces probabilistic reasoning and Bayes' theorem, helping readers understand how AI systems handle uncertainty and incomplete information.Written in a clear and beginner-friendly style, the book uses examples, step-by-step explanations, algorithms, and intuitive illustrations to make complex AI concepts accessible to students and self-learners.This volume is suitable for engineering and computer science students, AI learners, educators, and anyone seeking a structured introduction to search, knowledge representation, logical reasoning, and probabilistic reasoning in Artificial Intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …
Seller Inventory # 9798175015240
- Title
- Advanced Searches, Knowledge Representation and Reasoning (Paperback)
- Author
- Lakshmi E.S.
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798175015240
- Series
- Book 1 of 1: Artificial Intelligence Series
Advanced Searches, Knowledge Representation and Reasoning – Volume 2 explores the techniques that allow Artificial Intelligence systems to search for solutions, represent knowledge, and reason from available information.
The book covers advanced search techniques, constraint satisfaction, game playing, minimax, alpha-beta pruning, propositional logic, first-order logic, inference rules, unification, resolution, forward chaining, backward chaining, and knowledge-based systems. It also introduces probabilistic reasoning and Bayes' theorem, helping readers understand how AI systems handle uncertainty and incomplete information.
Written in a clear and beginner-friendly style, the book uses examples, step-by-step explanations, algorithms, and intuitive illustrations to make complex AI concepts accessible to students and self-learners.
This volume is suitable for engineering and computer science students, AI learners, educators, and anyone seeking a structured introduction to search, knowledge representation, logical reasoning, and probabilistic reasoning in Artificial Intelligence.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
Shipping rates within U.S.A.
| Item | 6 to 14 business days | 6 to 16 business days |
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| First item | US$ 0.00 | US$ 0.00 |
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APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE U.S.A. 19805
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