Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning (Hardcover)

Miroslav Kubat

ISBN 10: 1260467783 / ISBN 13: 9781260467789

Verlag: McGraw-Hill Education, OH, 2023

Beschreibung

Hardcover. A hands-on introduction to the principles and practices of modern artificial intelligenceThis comprehensive textbook focuses on the core techniques and processes underlying todays 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781260467789

Bibliografische Details

Titel: Fundamentals of Artificial Intelligence: ...

Verlag: McGraw-Hill Education, OH

Erscheinungsdatum: 2023

Einband: Hardcover

Zustand: new

Über diesen Titel

Inhaltsangabe:

A hands-on introduction to the principles and practices of modern artificial intelligence

This 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 learning
• Includes historical overviews, summaries, exercises, thought experiments, and computer assignments
• Written by a recognized artificial intelligence expert and experienced author

Über die Autorin bzw. den 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.