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Artificial Intelligence and Problem Solving

2016-06-09 Computers
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Release : 2016-06-09
Genre : Computers
Kind : eBook
Book Rating : 687/5 ( reviews)

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Book Synopsis Artificial Intelligence and Problem Solving by : Danny Kopec

Download or read book Artificial Intelligence and Problem Solving written by Danny Kopec. This book was released on 2016-06-09. Available in PDF, EPUB and Kindle. Book excerpt: 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 [email protected].

Artificial Intelligence for Advanced Problem Solving Techniques

2008-01-31 Education
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Release : 2008-01-31
Genre : Education
Kind : eBook
Book Rating : 071/5 ( reviews)

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Book Synopsis Artificial Intelligence for Advanced Problem Solving Techniques by : Vlahavas, Ioannis

Download or read book Artificial Intelligence for Advanced Problem Solving Techniques written by Vlahavas, Ioannis. This book was released on 2008-01-31. Available in PDF, EPUB and Kindle. Book excerpt: One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.

Artificial Intelligence Problems and Their Solutions

2014-04-15 Computers
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Release : 2014-04-15
Genre : Computers
Kind : eBook
Book Rating : 325/5 ( reviews)

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Book Synopsis Artificial Intelligence Problems and Their Solutions by : Danny Kopec

Download or read book Artificial Intelligence Problems and Their Solutions written by Danny Kopec. This book was released on 2014-04-15. Available in PDF, EPUB and Kindle. Book excerpt: 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

Human and Machine Problem Solving

2012-12-06 Psychology
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Release : 2012-12-06
Genre : Psychology
Kind : eBook
Book Rating : 154/5 ( reviews)

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Book Synopsis Human and Machine Problem Solving by : K.J. Gilhooly

Download or read book Human and Machine Problem Solving written by K.J. Gilhooly. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.

Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 035/5 ( reviews)

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Book Synopsis Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies by : Donald E. Brown

Download or read book Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies written by Donald E. Brown. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.

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