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Artificial Intelligence

Author(s): Saroj Kaushik

ISBN: 9789355730428

2nd Edition

Copyright: 2022

India Release: 2022

₹850

Binding: Paperback

Pages: 712

Trim Size: 241 x 181 mm

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The second edition of the Artificial Intelligence book is a comprehensive guide designed for undergraduate and graduate students, covering AI-related topics such as search and planning, knowledge representation, game playing, expert systems, uncertainty handling, etc. Advanced topics such as machine learning, fuzzy logic, artificial neural networks, evolutionary computing, and natural language processing are also included. The book contains 16 chapters organized into six units, complete with pedagogical features and numerous examples to ensure comprehension of the discussed concepts. The book is suitable for AI courses offered in technical institutions and universities and can also serve as study material for computer professionals wishing to expand their understanding of AI. The book's use of PROLOG (programming in logic) as the declarative language throughout provides an excellent opportunity for users to code programs using AI techniques with a clear understanding of the underlying and natural thought processes of human ways of problem-solving. The book's content contains approximately 40% more material than is required for UG programs in Indian universities, making it useful for advanced AI courses. Overall, the second edition of the Artificial Intelligence book offers a comprehensive guide to AI, making it an excellent textbook for one full-semester course.

  • The approach has been kept simple and student-friendly to ensure that every student can derive maximum possible knowledge from the book.
  • Each chapter incorporates numerous pedagogical features, such as solved examples, detailed illustrations, tables, algorithms, and end-of-chapter exercises that supplement the topics presented.
  • The presence of solved examples and algorithms aids in sharpening students' understanding of the concepts covered.
  • Includes a license key for our digital learning app, CENGAGE Digital App, that provides access to complete topics: Introduction to Intelligent Agents and Advanced Knowledge Representation Techniques

 

1. Artificial Intelligence Fundamentals

UNIT 1: PROBLEM SOLVING

2. State-Space Searches 

3. Problem Reduction and Game Playing

UNIT 2: LOGIC CONCEPTS AND LOGIC PROGRAMMING

4. Logical Reasoning

5. Prolog Programming

UNIT 3: PLANNING, KNOWLEDGE REPRESENTATION AND EXPERT SYSTEM

6. Advanced Problem-Solving Paradigm: Planning 

7. Knowledge Representation 

8. Expert System and Applications 

UNIT 4: HANDLING UNCERTAINTY AND FUZZY KNOWLEDGE

9. Uncertainty Measure: Probability Theory

10. Fuzzy Sets and Fuzzy Logic

UNIT 5: MACHINE LEARNING PARADIGMS

11. Machine Learning

12. Artificial Neural Networks 

13. Evolutionary Computation

UNIT 6: TRADITIONAL AND LATEST PERSPECTIVES OF NATURAL LANGUAGE PROCESSING (NLP)

14. Traditional NLP

15. NLP Application Pipeline

16. Advanced NLP with Deep Neural Networks

Saroj Kaushik

Saroj Kaushik, PhD (Computer Science) from Indian Institute of Technology Delhi is Retired Professor of CSE at Indian Institute of Technology Delhi, India.