Artificial Intelligence Problems and Their Solutions / / Danny Kopec, Shweta Shetty, Christopher Pileggi.

• VerfasserIn: Kopec, Danny,; Pileggi, Christopher,; Shetty, Shweta,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2014]; ©2014
• Year of Publication: 2014
• Language: English
• Physical Description: 1 online resource (300 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: 9781683922544
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Danny Kopec, Shweta Shetty, Christopher Pileggi.

This book lends insight into solving some well-known AI problems using the most efficient 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: 1) a precise description of a well-known AI problem coupled with an effective graphical representation; 2) discussion of possible approaches to solving each problem; 3) identifying and presenting the best known human solution to each problem; 4) evaluation and discussion of the Human Window aspects for the best solution; 5) a playability site where students can exercise the process of developing their solutions, as well as “experiencing” the best solution; 6) code or pseudo-code implementing the solution algorithm, and 7) academic references for each problem. Features: Addresses AI problems well known to computer science and mathematics students from a number of perspectives Covers classic AI problems such as Twelve Coins, Red Donkey, Cryptarithms, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more Includes a companion CD-ROM with source code, solutions, figures, and more Includes playability sites where students can exercise the process of developing their solutions Describes problem-solving methods which may be applied to many problem situations