Fundamentals of Artificial Intelligence

Beschreibung

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.
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.
Includes logically ordered chapters with dependencies and connectivity with what the students have studied in basic courses Comprises over 100 diagrams and algorithms to give this book a formal approach for implementation Consists of theoretical coverage that is followed with number of solved problems and exercises at the end of each chapter

Autor*in

K.R. Chowdhary

Themen in »Fundamentals of Artificial Intelligence«

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

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“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)

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