An Introduction To Systems Science
An Introduction To Systems Science

Author: John N Warfield

Publisher: World Scientific

Published: 2006-04-19

Total Pages: 430

ISBN-13: 9814478407

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This is the first book that renders a thorough discussion of systems science. It draws on material from an extensive collection of external sources, including several other books and a special library collection complete with videotape empirical evidence of applicability of the theory to a wide variety of circumstances. This is essential because systems science must be responsive to diverse human situations of the widest difficulty, and it must fill the void that the specific sciences cannot fill, because these sciences are insensitive to the necessities of reconciling disparate views of multiple observers, and incorporating local conditions in hypotheses that precede inductive explorations.

Concurrent Engineering
Concurrent Engineering

Author: Hamid R. Parsaei

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 501

ISBN-13: 1461530628

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In the area of computer-integrated manufacturing, concurrent engineering is recognized as the manufacturing philosophy for the next decade.

An Introduction to Neural Networks
An Introduction to Neural Networks

Author: Kevin Gurney

Publisher: CRC Press

Published: 2018-10-08

Total Pages: 148

ISBN-13: 1482286998

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Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

The Psychology of Expertise
The Psychology of Expertise

Author: Robert R. Hoffman

Publisher: Psychology Press

Published: 2014-02-25

Total Pages: 622

ISBN-13: 1317779533

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This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.

Machines that Walk
Machines that Walk

Author: Shin-Min Song

Publisher: MIT Press

Published: 1989

Total Pages: 342

ISBN-13: 9780262192743

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What is 16 feet long, 10 feet high, weighs 6,000 pounds, has six legs, and can sprint at 8 mph and step over a 4 foot wall? The Adaptive Suspension Vehicle (ASV) described in this book. Machines That Walk provides the first in depth treatment of the "statically stable walking machine" theory employed in the design of the ASV, the most sophisticated, self contained, and practical walking machine being developed today. Under construction at Ohio State University, the automatically terrain adaptive ASV has one human operator, can carry a 500 pound payload and is expected to have better fuel economy and mobility than that of conventional wheeled and tracked vehicles in rough terrain. The development of the ASV is a milestone in robotics research, and Machines That Walk provides a wealth of research results in mobility, gait, static stability, leg design, and vertical geometry design. The authors' treatment of statically stable gait theory and actuator coordination is by far the most complete available. Shin Min Song is an Assistant Professor in the Department of Mechanical Engineering at the University of Illinois at Chicago. Kenneth J. Waldron is Nordholt Professor in the Department of Mechanical Engineering at Ohio State University.

Robot Motion Planning
Robot Motion Planning

Author: Jean-Claude Latombe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 668

ISBN-13: 1461540224

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One of the ultimate goals in Robotics is to create autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants done rather than how to do it. The robots will be any kind of versatile mechanical device equipped with actuators and sensors under the control of a computing system. Making progress toward autonomous robots is of major practical inter est in a wide variety of application domains including manufacturing, construction, waste management, space exploration, undersea work, as sistance for the disabled, and medical surgery. It is also of great technical interest, especially for Computer Science, because it raises challenging and rich computational issues from which new concepts of broad useful ness are likely to emerge. Developing the technologies necessary for autonomous robots is a formidable undertaking with deep interweaved ramifications in auto mated reasoning, perception and control. It raises many important prob lems. One of them - motion planning - is the central theme of this book. It can be loosely stated as follows: How can a robot decide what motions to perform in order to achieve goal arrangements of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its x Preface own motions.

Pattern Recognition by Self-organizing Neural Networks
Pattern Recognition by Self-organizing Neural Networks

Author: Gail A. Carpenter

Publisher: MIT Press

Published: 1991

Total Pages: 724

ISBN-13: 9780262031769

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Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Robotics and Factories of the Future ’87
Robotics and Factories of the Future ’87

Author: R. Radharamanan

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 868

ISBN-13: 3642738907

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The papers presented at the Second International Conference on Robotics and Factories of the Future held in San Diego, California, USA during July 28-31, 1987 are compiled in this volume. Over two hundred participants attended the conference, made technical presentations and discussed about various aspects of manufacturing, robotics and factories of the future. The number of papers published in this volume and the number of unpublished presentations at the conference indicates the evidance of growing interest in the areas of CAD/CAM, robotics and their role in future factories. The conference consisted of five plenary sessions, twenty three technical sessions, workshops, and exhibits from local industries and educational institutions. I wish to acknowledge with many thanks the contributions of all the authors who presented their work at the conference and submitted the manuscripts for publication. It is also my pleasure to acknowledge the role of keynote, banquet, and plenary sessions speakers whose contributions added greatly to the success of the conference. My sincere thanks to all session chairmen. I wish that the series of the International Conferences on Robotics and Factories of the Future which was initiated in 1984 in Charlotte, North Carolina will have a major impact on the use of robots and computers in the automated factories of the future.