Artificial Intelligence for Advanced Problem Solving Techniques

Artificial Intelligence for Advanced Problem Solving Techniques

Author: Vlahavas, Ioannis

Publisher: IGI Global

Published: 2008-01-31

Total Pages: 388

ISBN-13: 1599047071

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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.


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 and published by IGI Global. This book was released on 2008-01-31 with total page 388 pages. 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

Artificial Intelligence

Author: George F. Luger

Publisher: Pearson Education

Published: 2005

Total Pages: 940

ISBN-13: 9780321263186

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This edition of 'Artificial Intelligence' includes increased coverage of the stochastic approaches to AI and stochastic methodology. Various sections have also been extended to recognize the importance of agent-based problem solving and embodiment in AI technology.


Book Synopsis Artificial Intelligence by : George F. Luger

Download or read book Artificial Intelligence written by George F. Luger and published by Pearson Education. This book was released on 2005 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition of 'Artificial Intelligence' includes increased coverage of the stochastic approaches to AI and stochastic methodology. Various sections have also been extended to recognize the importance of agent-based problem solving and embodiment in AI technology.


Problem Solving Methods in Artificial Intelligence

Problem Solving Methods in Artificial Intelligence

Author: N. J. Nilsson

Publisher:

Published: 1977

Total Pages:

ISBN-13:

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Book Synopsis Problem Solving Methods in Artificial Intelligence by : N. J. Nilsson

Download or read book Problem Solving Methods in Artificial Intelligence written by N. J. Nilsson and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Building Problem Solvers

Building Problem Solvers

Author: Kenneth D. Forbus

Publisher: MIT Press

Published: 1993

Total Pages: 726

ISBN-13: 9780262061575

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After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.


Book Synopsis Building Problem Solvers by : Kenneth D. Forbus

Download or read book Building Problem Solvers written by Kenneth D. Forbus and published by MIT Press. This book was released on 1993 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.


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

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

Author: Donald E. Brown

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 503

ISBN-13: 9400922035

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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.


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 and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 503 pages. 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.


Problem-solving Methods in Artificial Intelligence

Problem-solving Methods in Artificial Intelligence

Author: Nils J. Nilsson

Publisher:

Published: 1971

Total Pages: 300

ISBN-13:

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State-space representations. State-space methods. Problem-representations. Problem-reduction search methods. Theorem-proving in the predicate calculus. Applications of the predicate calculus in problem solving. Predicate-calculus proof-finding methods. Index.


Book Synopsis Problem-solving Methods in Artificial Intelligence by : Nils J. Nilsson

Download or read book Problem-solving Methods in Artificial Intelligence written by Nils J. Nilsson and published by . This book was released on 1971 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-space representations. State-space methods. Problem-representations. Problem-reduction search methods. Theorem-proving in the predicate calculus. Applications of the predicate calculus in problem solving. Predicate-calculus proof-finding methods. Index.


Artificial Intelligence Problems and Their Solutions

Artificial Intelligence Problems and Their Solutions

Author: Danny Kopec

Publisher: Mercury Learning and Information

Published: 2014-04-15

Total Pages: 300

ISBN-13: 1938549325

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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


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 and published by Mercury Learning and Information. This book was released on 2014-04-15 with total page 300 pages. 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


Instructor's Manual for Artificial Intelligence

Instructor's Manual for Artificial Intelligence

Author: George F. Luger

Publisher:

Published: 1993

Total Pages: 274

ISBN-13: 9780805347814

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Book Synopsis Instructor's Manual for Artificial Intelligence by : George F. Luger

Download or read book Instructor's Manual for Artificial Intelligence written by George F. Luger and published by . This book was released on 1993 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Artificial Intelligence

Artificial Intelligence

Author: George F. Luger

Publisher:

Published: 1993

Total Pages: 772

ISBN-13: 9780805347852

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Book Synopsis Artificial Intelligence by : George F. Luger

Download or read book Artificial Intelligence written by George F. Luger and published by . This book was released on 1993 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Artificial Intelligence

Artificial Intelligence

Author: George F. Luger

Publisher: Pearson Higher Ed

Published: 2011-11-21

Total Pages: 779

ISBN-13: 0133001733

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.


Book Synopsis Artificial Intelligence by : George F. Luger

Download or read book Artificial Intelligence written by George F. Luger and published by Pearson Higher Ed. This book was released on 2011-11-21 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.