Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning
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

1141999321
Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning
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

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Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning

Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning

by Miroslav Kubat
Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning

Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning

by Miroslav Kubat

Hardcover

$75.00 
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Overview

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


Product Details

ISBN-13: 9781260467789
Publisher: McGraw Hill LLC
Publication date: 02/10/2023
Pages: 320
Product dimensions: 7.50(w) x 9.50(h) x 1.00(d)

About the 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.
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