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Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning

BuchGebunden
320 Seiten
Englisch
McGraw-Hillerschienen am06.03.2023
A hands-on introduction to the principles and practices of modern artificial intelligenceThis comprehensive textbook focuses on the core techniques and processes underlying today´s artificial intelligence, including algorithms, data structures, logic, automated reasoning, and problem solving. The book contains information about planning and about expert systems.Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning is written in a concise format with a view to optimizing learning. Each chapter contains a brief historical overview, control questions to reinforce important concepts, plus computer assignments and ideas for independent thought. The book includes many visuals to illustrate the essential ideas and many examples to show how to use these ideas in practical implementations.Presented in a concise format to optimize learningIncludes historical overviews, summaries, exercises, thought experiments, and computer assignmentsWritten by a recognized artificial intelligence expert and experienced authormehr

Produkt

KlappentextA hands-on introduction to the principles and practices of modern artificial intelligenceThis comprehensive textbook focuses on the core techniques and processes underlying today´s artificial intelligence, including algorithms, data structures, logic, automated reasoning, and problem solving. The book contains information about planning and about expert systems.Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning is written in a concise format with a view to optimizing learning. Each chapter contains a brief historical overview, control questions to reinforce important concepts, plus computer assignments and ideas for independent thought. The book includes many visuals to illustrate the essential ideas and many examples to show how to use these ideas in practical implementations.Presented in a concise format to optimize learningIncludes historical overviews, summaries, exercises, thought experiments, and computer assignmentsWritten by a recognized artificial intelligence expert and experienced author
Details
ISBN/GTIN978-1-260-46778-9
ProduktartBuch
EinbandartGebunden
FormatGenäht
Erscheinungsjahr2023
Erscheinungsdatum06.03.2023
Seiten320 Seiten
SpracheEnglisch
MasseBreite 186 mm, Höhe 238 mm, Dicke 24 mm
Gewicht998 g
Artikel-Nr.59253816

Autor

Miroslav Kubat is an associate professor emeritus of Electrical and Computer Engineering at the University of Miami. He taught artificial intelligence and related courses for more than a quarter century. He has published more than a hundred peer-reviewed papers and is the author of the commercially successful textbook An Introduction to Machine Learning.