Deepak Khemani

Search Methods in Artificial Intelligence

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 550
• Erscheinungstermin: 31. Oktober 2024
• Englisch
• ISBN-13: 9781009284325
• ISBN-10: 1009284320
• Artikelnr.: 70769039

Autorenporträt

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.

Inhaltsangabe

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.