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Author: Danny Kopec
Publisher: Mercury Learning and Information
ISBN: 1944534687
Category : Computers
Languages : en
Pages : 343
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Book Description
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].
Author: Danny Kopec
Publisher: Mercury Learning and Information
ISBN: 1944534687
Category : Computers
Languages : en
Pages : 343
Get Book Here
Book Description
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].
Author: Vlahavas, Ioannis
Publisher: IGI Global
ISBN: 1599047071
Category : Education
Languages : en
Pages : 388
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Book Description
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.
Author: Peter A. Frensch
Publisher: Psychology Press
ISBN: 1317781392
Category : Psychology
Languages : en
Pages : 364
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Book Description
This volume presents a state-of-the-science review of the most promising current European research -- and its historic roots of research -- on complex problem solving (CPS) in Europe. It is an attempt to close the knowledge gap among American scholars regarding the European approach to understanding CPS. Although most of the American researchers are well aware of the fact that CPS has been a very active research area in Europe for quite some time, they do not know any specifics about even the most important research. Part of the reason for this lack of knowledge is undoubtedly the fact that European researchers -- for the most part -- have been rather reluctant to publish their work in English-language journals. The book concentrates on European research because the basic approach European scholars have taken to studying CPS is very different from one taken by North American researchers. Traditionally, American scholars have been studying CPS in "natural" domains -- physics, reading, writing, and chess playing -- concentrating primarily on exploring novice-expert differences and the acquisition of a complex skill. European scholars, in contrast, have been primarily concerned with problem solving behavior in artificially generated, mostly computerized, complex systems. While the American approach has the advantage of high external validity, the European approach has the advantage of system variables that can be systematically manipulated to reveal the effects of system parameters on CPS behavior. The two approaches are thus best viewed as complementing each other. This volume contains contributions from four European countries -- Sweden, Switzerland, Great Britain, and Germany. As such, it accurately represents the bulk of empirical research on CPS which has been conducted in Europe. An international cooperation started two years ago with the goal of bringing the European research on complex problem solving to the awareness of American scholars. A direct result of that effort, the contributions to this book are both informative and comprehensive.
Author: Robert J. Sternberg
Publisher: Elsevier
ISBN: 9780126672602
Category : Education
Languages : en
Pages : 488
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Book Description
Thinking and Problem-Solving presents a comprehensive and up-to-date review of literature on cognition, reasoning, intelligence, and other formative areas specific to this field. Written for advanced undergraduates, researchers, and academics, this volume is a necessary reference for beginning and established investigators in cognitive and educational psychology. Thinking and Problem-Solving provides insight into questions such as: how do people solve complex problems in mathematics and everyday life? How do we generate new ideas? How do we piece together clues to solve a mystery, categorize novel events, and teach others to do the same? Provides a comprehensive literature review Covers both historical and contemporary approaches Organized for ease of use and reference Chapters authored by leading scholars
Author: Rolf K. Baltzersen
Publisher: Cambridge University Press
ISBN: 1108833748
Category : Education
Languages : en
Pages : 467
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Book Description
This book shows how collective intelligence combined with new technologies can help us solve the world's biggest problems.
Author: David C. Brown
Publisher: Morgan Kaufmann
ISBN: 1483258882
Category : Computers
Languages : en
Pages : 208
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Book Description
Design Problem Solving: Knowledge Structures and Control Strategies describes the application of the generic task methodology to the problem of routine design. This book discusses the generic task methodology and what constitutes the essence of the Al approach to problem solving, including the analysis of design as an information processing activity. The basic design problem solving framework, DSPL language, and AIR-CYL Air cylinder design system are also elaborated. Other topics include the high level languages based on generic tasks, structure of a Class 3 design problem solver, and failure handling in routine design. The conceptual structure for the air cylinder and improvements to DSPL system support are likewise covered in this text. This publication is beneficial to students and specialists concerned with solving design problems.
Author: Kulkarni, Siddhivinayak
Publisher: IGI Global
ISBN: 1466618345
Category : Computers
Languages : en
Pages : 464
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Book Description
Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.
Author: Robert Thompson
Publisher: Springer Science & Business Media
ISBN: 1475795483
Category : Medical
Languages : en
Pages : 223
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Book Description
This book is the outcome of a decade of research on the neu roanatomical mechanisms of learning in the young laboratory rat. It is essentially a discourse on the functional organization of the brain in relation to problem-solving ability and intelli gence. During the period between 1980 and 1989, well over 1000 weanling albino rats were subjected to localized brain damage (or sham operations in the case of the controls) under deep anesthesia and aseptic surgical conditions, were allowed tore cover, and subsequently were tested on a wide variety of prob lems designed to measure general learning ability. Since vir tually every part of the brain rostral to the medulla has been explored with lesions, it has become possible not only to map a number of "putative" brain systems underlying the acquisition of distinctive problem-solving tasks, but to isolate several neu roanatomical mechanisms that appear to be selectively in volved in the acquisition of particular kinds of goal-directed learned activities. Of particular interest was the discovery of a "nonspecific mechanism" (previously referred to in our re search reports as the "general learning system") inhabiting the interior parts of the brain. One objective of this volume was to make these maps available in a single source. Another was to provide a descrip tion of learning syndromes arising from local lesions to differ ent parts of the brain.
Author: Donald E. Brown
Publisher: Springer Science & Business Media
ISBN: 9400922035
Category : Business & Economics
Languages : en
Pages : 503
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Book Description
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.
Author: Garth Sundem
Publisher: Crown
ISBN: 0770435971
Category : Self-Help
Languages : en
Pages : 242
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Book Description
Forget the IQ tests and tweak those parts of intelligence that matter most to real world success. Sure, having a high IQ is great. But surprisingly, science shows that mental abilities not captured in IQ tests can have the most impact in the real world—attributes like creativity, willpower, emotional intelligence, and intuition. And yes—you can train those skills. In these pages, journalist Garth Sundem draws on interviews with psychology’s top experts and the latest research to show you how. Beyond IQ is a new kind of braintraining guide, one packed with useful, engaging exercises scientifically shown to help you make the most of the brain you've got in the arena that matters most—life!" BEYOND IQ is filled with simple pen-and-paper exercises that will help you: --teach your mind to hear that "eureka" moment of insight --improve your problem-solving skills --use divergent thinking to boost your creativity --retrain your intuition to become more trustworthy --avoid the cognitive "blinkering" that too often comes with expertise --expand your working memory --practice your performance under pressure --improve your pattern-recognition skills --sharpen your emotional intelligence --strengthen your willpower And more!
