Fundamentals of Artificial Intelligence

1. Front Matter

   Pages i-xxx

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2. Introducing Artificial Intelligence

   • K. R. Chowdhary

   Pages 1-23

3. Logic and Reasoning Patterns

   • K. R. Chowdhary

   Pages 25-50

4. First Order Predicate Logic

   • K. R. Chowdhary

   Pages 51-88

5. Rule Based Reasoning

   • K. R. Chowdhary

   Pages 89-109

6. Logic Programming and Prolog

   • K. R. Chowdhary

   Pages 111-141

7. Real-World Knowledge Representation and Reasoning

   • K. R. Chowdhary

   Pages 143-177

8. Networks-Based Representation

   • K. R. Chowdhary

   Pages 179-215

9. State Space Search

   • K. R. Chowdhary

   Pages 217-237

10. Heuristic Search

    • K. R. Chowdhary

    Pages 239-272

11. Constraint Satisfaction Problems

    • K. R. Chowdhary

    Pages 273-302

12. Adversarial Search and Game Theory

    • K. R. Chowdhary

    Pages 303-335

13. Reasoning in Uncertain Environments

    • K. R. Chowdhary

    Pages 337-373

14. Machine Learning

    • K. R. Chowdhary

    Pages 375-413

15. Statistical Learning Theory

    • K. R. Chowdhary

    Pages 415-443

16. Automated Planning

    • K. R. Chowdhary

    Pages 445-470

17. Intelligent Agents

    • K. R. Chowdhary

    Pages 471-505

18. Data Mining

    • K. R. Chowdhary

    Pages 507-555

19. Information Retrieval

    • K. R. Chowdhary

    Pages 557-602

20. Natural Language Processing

    • K. R. Chowdhary

    Pages 603-649

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.

• First-order Predicate Logic
• Knowledge Representation
• Non-monotonic Reasoning
• Prolog
• State-space Search

“The book is a good textbook for C S courses, as well as a helpful resource for people working in academia or industry. It will be beneficial in teaching the fundamental concepts of AI. … Along these lines, for people interested in learning the theory of AI, it is both a good textbook and valuable resource.” (Gulustan Dogan, Computing Reviews, December 30, 2020)

“It is very astonishing that hardly any curricula come back to Norbert Wiener’s cybernetics. His theory of systems will be the safe background for any new system to be developed. I wish the author still much success in this field, you can contribute a lot to the welfare of the human society.” (Christian Posthoff, zbMATH 1442.68001, 2020)

• Department of Computer Science and Engineering, Jodhpur Institute of Engineering and Technology, Jodhpur, India

  K.R. Chowdhary

Prof. K.R. Chowdhary is currently a Professor of Computer Science at JGI, Jodhpur. He is the former Professor and Head, Department of Computer Science & Engineering, M.B.M. Engineering College, Jodhpur, India. He completed his PhD from the same university in 2004. Prof. Chowdhary has over 35 years of teaching and research experience. He also taught at IIT Jodhpur (2010-2017), and also served as Director at JIET Group of Institutions, Jodhpur from 2014 to 2019. He was honored with senior membership award of Association for Computing Machinery in 2008 and Eminent Computer Engineer’s Award from the Institute of Engineers, India in 2011. He has authored several papers published in national and international journals and conference proceedings. His areas of specialization include: Discrete Mathematical Structures, Theory of Computation, AI, Machine Learning, Natural Language and Speech Processing.