Khemani D. Search Methods in Artificial Intelligence

Cambridge: Cambridge University Press, 2024 - 447 p. - ISBN: 9781009284349 (online ed.).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, and 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 of constraint satisfaction.Key Features.Detailed explanation of different search algorithms with examples.
Dedicated coverage of search in machine learning.
Appendix on pseudocode conventions.
Chapter-end exercises for sharpening problem-solving skills.Note: Paperback edition will be available in 2025 (C.U.P.).True PDF