Artificial Intelligence and Problem Solving / / Danny Kopec, Christopher Pileggi, David Ungar, Shweta Shetty.

• Superior document: Title is part of eBook package: De Gruyter MLI AI COLLECTION
• VerfasserIn: Kopec, Danny,; Pileggi, Christopher,; Ungar, David,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2016]; ©2016
• Year of Publication: 2016
• Language: English
• Physical Description: 1 online resource (350 p.)
• Other title: Frontmatter --; Contents --; Preface --; List of Figures and Tables --; Chapter 1: Introduction --; Part I: Problem Solving and Traditional Artificial Intelligence Problems --; Chapter 2: Problem Solving --; Chapter 3: The Missionaries and Cannibals Problem --; Chapter 4: The 12 Coins Problem --; Chapter 5: Cryptarithms --; Chapter 6: The Red Donkey Puzzle --; Chapter 7: The 15 Puzzle --; Chapter 8: The Knight’s Tour Problem --; Chapter 9: Mastermind --; Chapter 10: The Monty Hall Problem --; Chapter 11: Rubik’s Cube --; Chapter 12: The Prisoner’s Dilemma --; Part II: Problems Requiring Computer Solutions --; Chapter 13: Sudoku --; Chapter 14: Map Coloring and the Chromatic Number --; Chapter 15: Cryptography --; Chapter 16: Random Walks on Graphs and Monte Carlo Methods --; Part III: Miscellaneous Smaller Problems and Towards a Theory --; Chapter 17: Miscellaneous Problems --; Chapter 18: Conclusion: Toward a Theory for Problem Solving --; On the Companion Disc --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683922414; 9783111573533
• DOI: 10.1515/9781683922414
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Danny Kopec, Christopher Pileggi, David Ungar, Shweta Shetty.

This book lends insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI–type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve. Features:•Addresses AI and problem-solving from different perspectives•Covers classic AI problems such as Sudoku, Map Coloring, Twelve Coins, Red Donkey, Cryptarithms, Monte Carlo Methods, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more•Includes a companion disc with source code, solutions, figures, and more•Offers playability sites where students can exercise the process of developing their solutions•Describes problem-solving methods that might be applied to a variety of situations eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [e-mail].