Artificial Intelligence and Problem Solving / / 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...
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2016] ©2016 |
Year of Publication: | 2016 |
Language: | English |
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Physical Description: | 1 online resource (350 p.) |
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Kopec, Danny, author. aut http://id.loc.gov/vocabulary/relators/aut Artificial Intelligence and Problem Solving / Danny Kopec, Christopher Pileggi, David Ungar, Shweta Shetty. Dulles, VA : Mercury Learning and Information, [2016] ©2016 1 online resource (350 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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 restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 info@merclearning.com. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) Artificial intelligence. Problem solving. Artificial Intelligence. COMPUTERS / Expert Systems. bisacsh Pileggi, Christopher, author. aut http://id.loc.gov/vocabulary/relators/aut Ungar, David, author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter MLI AI COLLECTION 9783111573533 EPUB 9781944534684 print 9781944534585 https://doi.org/10.1515/9781683922414 https://www.degruyter.com/isbn/9781683922414 Cover https://www.degruyter.com/document/cover/isbn/9781683922414/original |
language |
English |
format |
eBook |
author |
Kopec, Danny, Kopec, Danny, Pileggi, Christopher, Ungar, David, |
spellingShingle |
Kopec, Danny, Kopec, Danny, Pileggi, Christopher, Ungar, David, Artificial Intelligence and Problem Solving / 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 |
author_facet |
Kopec, Danny, Kopec, Danny, Pileggi, Christopher, Ungar, David, Pileggi, Christopher, Pileggi, Christopher, Ungar, David, Ungar, David, |
author_variant |
d k dk d k dk c p cp d u du |
author_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author2 |
Pileggi, Christopher, Pileggi, Christopher, Ungar, David, Ungar, David, |
author2_variant |
c p cp d u du |
author2_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author_sort |
Kopec, Danny, |
title |
Artificial Intelligence and Problem Solving / |
title_full |
Artificial Intelligence and Problem Solving / Danny Kopec, Christopher Pileggi, David Ungar, Shweta Shetty. |
title_fullStr |
Artificial Intelligence and Problem Solving / Danny Kopec, Christopher Pileggi, David Ungar, Shweta Shetty. |
title_full_unstemmed |
Artificial Intelligence and Problem Solving / Danny Kopec, Christopher Pileggi, David Ungar, Shweta Shetty. |
title_auth |
Artificial Intelligence and Problem Solving / |
title_alt |
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 |
title_new |
Artificial Intelligence and Problem Solving / |
title_sort |
artificial intelligence and problem solving / |
publisher |
Mercury Learning and Information, |
publishDate |
2016 |
physical |
1 online resource (350 p.) Issued also in print. |
contents |
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 |
isbn |
9781683922414 9783111573533 9781944534684 9781944534585 |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q335 |
callnumber-sort |
Q 3335 K67 42017 |
url |
https://doi.org/10.1515/9781683922414 https://www.degruyter.com/isbn/9781683922414 https://www.degruyter.com/document/cover/isbn/9781683922414/original |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
004 - Data processing & computer science |
dewey-full |
004.1 |
dewey-sort |
14.1 |
dewey-raw |
004.1 |
dewey-search |
004.1 |
doi_str_mv |
10.1515/9781683922414 |
oclc_num |
1394872780 |
work_keys_str_mv |
AT kopecdanny artificialintelligenceandproblemsolving AT pileggichristopher artificialintelligenceandproblemsolving AT ungardavid artificialintelligenceandproblemsolving |
status_str |
n |
ids_txt_mv |
(DE-B1597)653990 (OCoLC)1394872780 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter MLI AI COLLECTION |
is_hierarchy_title |
Artificial Intelligence and Problem Solving / |
container_title |
Title is part of eBook package: De Gruyter MLI AI COLLECTION |
author2_original_writing_str_mv |
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