Artificial Intelligence and Problem Solving

Artificial Intelligence and Problem Solving

Author: Danny Kopec

Publisher: Mercury Learning and Information

Published: 2016-06-09

Total Pages: 343

ISBN-13: 1944534687

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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

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.


Thinking and Problem Solving

Thinking and Problem Solving

Author: Robert J. Sternberg

Publisher: Elsevier

Published: 1998-05-13

Total Pages: 488

ISBN-13: 9780126672602

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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


Complex Problem Solving

Complex Problem Solving

Author: Peter A. Frensch

Publisher: Psychology Press

Published: 2014-04-04

Total Pages: 364

ISBN-13: 1317781392

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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.


Children Solving Problems

Children Solving Problems

Author: Stephanie THORNTON

Publisher: Harvard University Press

Published: 2009-06-30

Total Pages: 154

ISBN-13: 0674044347

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A one-year-old attempting to build a tower of blocks may bring the pile crashing down, yet her five-year-old sister accomplishes this task with ease. Why do young children have difficulty with problems that present no real challenge to older children? How do problem-solving skills develop? In Children Solving Problems, Stephanie Thornton surveys recent research from a broad range of perspectives in order to explore this important question. What Thornton finds may come as a surprise: successful problem-solving depends less on how smart we are--or, as the pioneering psychologist Jean Piaget claimed, how advanced our skill in logical reasoning is--and more on the factual knowledge we acquire as we learn and interpret cues from the world around us. Problem-solving skills evolve through experience and dynamic interaction with a problem. But equally important--as the Russian psychologist L. S. Vygotsky proposed--is social interaction. Successful problem-solving is a social process. Sharing problem-solving tasks--with skilled adults and with other children--is vital to a child's growth in expertise and confidence. In problem-solving, confidence can be more important than skill. In a real sense, problem-solving lies at the heart of what we mean by intelligence. The ability to identify a goal, to work out how to achieve it, and to carry out that plan is the essence of every intelligent activity. Could it be, Thornton suggests, that problem-solving processes provide the fundamental machinery for cognitive development? In Children Solving Problems she synthesizes the dramatic insights and findings of post-Piagetian research and sets the agenda for the next stage in understanding the varied phenomena of children's problem-solving.


Design Problem Solving

Design Problem Solving

Author: David C. Brown

Publisher: Morgan Kaufmann

Published: 2014-07-10

Total Pages: 208

ISBN-13: 1483258882

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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.


Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Author: Kulkarni, Siddhivinayak

Publisher: IGI Global

Published: 2012-06-30

Total Pages: 464

ISBN-13: 1466618345

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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.