Search Methods in Artificial Intelligence by Khemani, Deepak | Hardcover | Computers

About this book Search Methods in Artificial Intelligence by Khemani, Deepak published by Cambridge Univ Pr. Key highlights - This comprehensive book is aimed at undergraduate and graduate students pursuing courses in computer science and artificial intelligence. It comprises detailed descriptions of a variety of search methods with examples and illustrations. It begins with simple approaches and progresses to more complex algorithms applied to problems. - Deepak Khemani is Professor at Plaksha University. In the past, he has been associated with Department of Computer Science and Engineering at IIT Madras Chennai. He has been actively working in the field of artificial intelligence for four decades. He is the author of A First Course in Artificial Intelligence. He has three online courses running on SWAYAM (Study Webs of Active-Learning for Young Aspiring Minds), a Massive Open Online Course (MOOCs) programme initiated by the Government of India. - This book is a complete guide to search methods in artificial intelligence, for students pursuing courses in computer science. - Preface; Chapter 1: Introduction; Chapter 2: Search Spaces; Chapter 3: Blind Search; Chapter 4: Heuristic Search; Chapter 5 - Stochastic Local Search; Chapter 6: Algorithm A* and Variations; Chapter 7: Problem Decomposition; Chapter 8: Chess and Other Games; Chapter 9: Automated Planning; Chapter 10: Deduction as Search; Chapter 11: Search in Machine Learning; Chapter 12: Constraint Satisfaction; References; Appendix; Index Related topics Computers/Artificial Intelligence - Natural Language Processing.