Artificial Intelligence and Problem Solving
Kopec, Danny
Sold by One Planet Books, Columbia, MO, U.S.A.
AbeBooks Seller since November 10, 2017
Used - Soft cover
Condition: Used - Good
Ships within U.S.A.
Quantity: 4 available
Add to basketSold by One Planet Books, Columbia, MO, U.S.A.
AbeBooks Seller since November 10, 2017
Condition: Used - Good
Quantity: 4 available
Add to basketShips in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Seller Inventory # 002283606U
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.
Kopec Danny :
Danny Kopec (Late) taught at Brooklyn College. He authored several books and journal articles and was an International Chess Master.
Pileggi Christopher :
Christopher Pileggi holds a degree in Computer Information Science and is employed by the Center for Economic Workforce & Development.
Ungar David :
David Ungar holds a degree in Computer Information Science.
Shetty Shweta :
Shweta Shetty is an SAP PI Consultant.
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