Fundamentals of artificial intelligence
- New Delhi Springer 2020
- xxx, 716 p.
Table of content: Front Matter Pages i-xxx Download chapter PDF Introducing Artificial Intelligence K. R. Chowdhary Pages 1-23 Logic and Reasoning Patterns K. R. Chowdhary Pages 25-50 First Order Predicate Logic K. R. Chowdhary Pages 51-88 Rule Based Reasoning K. R. Chowdhary Pages 89-109 Logic Programming and Prolog K. R. Chowdhary Pages 111-141 Real-World Knowledge Representation and Reasoning K. R. Chowdhary Pages 143-177 Networks-Based Representation K. R. Chowdhary Pages 179-215 State Space Search K. R. Chowdhary Pages 217-237 Heuristic Search K. R. Chowdhary Pages 239-272 Constraint Satisfaction Problems K. R. Chowdhary Pages 273-302 Adversarial Search and Game Theory K. R. Chowdhary Pages 303-335 Reasoning in Uncertain Environments K. R. Chowdhary Pages 337-373 Machine Learning K. R. Chowdhary Pages 375-413 Statistical Learning Theory K. R. Chowdhary Pages 415-443 Automated Planning K. R. Chowdhary Pages 445-470 Intelligent Agents K. R. Chowdhary Pages 471-505 Data Mining K. R. Chowdhary Pages 507-555 Information Retrieval K. R. Chowdhary Pages 557-602 Natural Language Processing K. R. Chowdhary Pages 603-649 [https://link.springer.com/book/10.1007/978-81-322-3972-7]
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.