Fundamentals of Artificial Intelligence /
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 Retri...
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| Format: | eBook |
| Language: | English |
| Published: |
New Delhi :
Springer India : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 and 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. |
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| Physical Description: | 1 online resource (XXX, 716 pages 225 illustrations, 1 illustrations in color.) |
| ISBN: | 9788132239727 |
| DOI: | 10.1007/978-81-322-3972-7 |