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E-book
Author Kopec, Danny

Title Artificial intelligence problems and their solutions / Danny Kopec, Shweta Shetty, Christopher Pileggi
Published Dulles, Va. : Mercury Learning and Information, ©2014

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Description 1 online resource
Contents HalfTitle; Title; Copyright; Contents; Preface; List of Figures and Tables; Chapter 1: Introduction; 1.1 Goals and Purpose of This Book; 1.2 Background and Previous Work; 1.3 Contributions of This Book; 1.4 References; Chapter 2: Problem Solving; 2.1 Polya's Five Steps for Problem Solving; 2.2 Problem-Solving Techniques; 2.2.1 Heuristics; 2.2.2 Additional Heuristics for Problem Solving; 2.3 The Human Window; 2.4 Human Window Criteria and Ranking of Solutions; 2.5 Classification; 2.6 References; Chapter 3: The Missionaries and Cannibals Problem; 3.1 Background
3.2 Choosing an Appropriate Representation3.3 Solution; 3.4 Human Problem Solving; 3.5 Human Window Analysis of Solutions; 3.5.1 The Most Human Window-Compatible Solution; 3.5.2 The Least Human Window-Compatible Solution; 3.6 Best Machine Solution; 3.7 Playable Program; 3.8 References; Chapter 4: The 12 Coins Problem; 4.1 Background; 4.2 Solving a Smaller Problem; 4.3 Solution; 4.4 Human Problem Solving; 4.5 Human Window Analysis of Solutions; 4.5.1 The Most Human Window-Compatible Solution; 4.5.2 The Least Human Window-Compatible Solution; 4.6 Best Machine Solution; 4.7 Playable Program
4.8 ReferencesChapter 5: Cryptarithms; 5.1 Background; 5.2 Problem-Solving Techniques; 5.3 Solution; 5.4 Human Problem Solving; 5.5 Human Window Analysis of Solutions; 5.5.1 The Most Human Window-Compatible Solution; 5.5.2 The Least Human Window-Compatible Solution; 5.6 Best Machine Solution; 5.7 Playable Program; 5.8 References; Chapter 6: The Red Donkey Puzzle; 6.1 Background; 6.2 Solution; 6.2.1 Bidirectional Search; 6.3 Human Problem Solving; 6.4 Human Window Analysis of Solutions; 6.4.1 The Most Human Window-Compatble Solution; 6.4.2 The Least Human Window-Compatible Solution
6.5 Best Machine Solution6.6 Playable Program; 6.7 References; Chapter 7: The 15 Puzzle; 7.1 Background; 7.2 Problem-Solving Techniques; 7.3 Solution; 7.3.1 Solving the First Row; 7.3.2 The Corner Technique; 7.3.3 Solving the Second Row; 7.3.4 Solving the Third Row; 7.3.5 Solving the Fourth Row; 7.4 Human Window Analysis of Solutions; 7.4.1 The Most Human Window-Compatible Solution; 7.4.2 The Least Human Window-Compatible Solution; 7.5 Best Machine Solution; 7.6 Playable Program; 7.7 References; Chapter 8: The Knight's Tour Problem; 8.1 Background; 8.2 Problem-Solving Techniques; 8.3 Solution
8.4 Human Problem Solving8.5 Human Window Analysis of Solutions; 8.5.1 The Most Human Window-Compatible Solution; 8.5.2 The Least Human Window-Compatible Solution; 8.6 Best Machine Solution; 8.7 Playable Program; 8.8 References; Chapter 9: Mastermind; 9.1 Background; 9.2 Problem-Solving Techniques; 9.3 Solution; 9.3.1 Example 1; 9.3.2 Example 2; 9.3.3 Example 3; 9.3.4 Example 4; 9.4 Human Problem Solving; 9.5 Human Window Analysis of Solutions; 9.6 Best Machine Solution; 9.7 Playable Program; 9.8 References; Chapter 10: The Monty Hall Problem; 10.1 Background; 10.2 Problem-Solving Techniques
Summary 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. The book also addresses popular AI problems from different perspectives and covers classic AI problems such as Twelve Coins, Red Donkey, Cryptarithms, Rubik's Cube, Missionaries/Cannibals, Knight's Tour, Monty Hall, and more
Notes Title from title screen
Bibliography Includes bibliographical references
Subject Artificial intelligence.
Artificial intelligence -- Mathematical models
Artificial intelligence -- Data processing.
artificial intelligence.
COMPUTERS / Intelligence (AI) & Semantics.
Artificial intelligence
Artificial intelligence -- Data processing
Artificial intelligence -- Mathematical models
Form Electronic book
Author Shetty, Shweta, 1979-
Pileggi, Christopher.
ISBN 1938549325
9781938549328