Search Methods in Artificial Intelligence - Hardcover

Khemani, Deepak

Hardcover

ISBN 10: 1009284320 ISBN 13: 9781009284325

Publisher: Cambridge University Press, 2024

Synopsis

This book is designed to provide in-depth knowledge on how search plays a fundamental role in problem solving. Meant for undergraduate and graduate students pursuing courses in computer science and artificial intelligence, it covers a wide spectrum of search methods. Readers will be able to begin with simple approaches and gradually progress to more complex algorithms applied to a variety of problems. It demonstrates that search is all pervasive in artificial intelligence and equips the reader with the relevant skills. The text starts with an introduction to intelligent agents and search spaces. Basic search algorithms like depth first search and breadth first search are the starting points. Then, it proceeds to discuss heuristic search algorithms, stochastic local search, algorithm A*, and problem decomposition. It also examines how search is used in playing board games, deduction in logic and automated planning. The book concludes with a coverage on constraint satisfaction.

About this title

About the Author

Deepak Khemani is a professor at IIT Madras. He has been working in AI for four decades, with a focus on knowledge representation and problem-solving. He is the author of the textbook, A First Course in Artificial Intelligence (2008), and has three popular online courses on Swayam.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2024
• Language: English
• ISBN 10: 1009284320
• ISBN 13: 9781009284325
• Binding: Hardcover
• Edition number: 1
• Number of pages: 550