Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning
Seiten
2023
McGraw-Hill Education (Verlag)
978-1-260-46778-9 (ISBN)
McGraw-Hill Education (Verlag)
978-1-260-46778-9 (ISBN)
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
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
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.
| Erscheinungsdatum | 13.02.2023 |
|---|---|
| Zusatzinfo | 70 Illustrations |
| Verlagsort | OH |
| Sprache | englisch |
| Maße | 191 x 241 mm |
| Gewicht | 708 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-260-46778-3 / 1260467783 |
| ISBN-13 | 978-1-260-46778-9 / 9781260467789 |
| Zustand | Neuware |
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