Computer-Based Instruction in Military Environments
Computer-Based Instruction in Military Environments

Author: Robert J. Seidel

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 348

ISBN-13: 1461309158

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This collection of papers is the result of a symposium sponsored by NATO's Defense Research Group Panel VIII in the Spring of 1985. The symposium came into being when it became obvious to the NATO countries that research, development and utilization of advanced technologies for training was the best means of increasing both training effectiveness and efficiency. This symposium was the second in a series of three devoted to training. The series was structured to cover all aspects of training. The first series addressed the value of training, the second one dealt with the application of training technologies and the third and last of the series focused on academic issues concerned with the effect of prior learning on subsequent learning. The fact that a major American publisher has determined that computer based instruction is the technology of greatest interest to the NATO community is not surprising. Advances in microprocessor technology have revolutionized both how and where we train. During this symposium there were a limited number of carefully chosen exhibits to demonstrate the various applications of computer based training techniques. In the following papers you will find both a practical and scientific basis for the way current and future training and training systems should be designed, applied and utilized. We know that training must be done faster and more effectively.

Fuzzy Expert Systems
Fuzzy Expert Systems

Author: Abraham Kandel

Publisher: CRC Press

Published: 1991-11-12

Total Pages: 344

ISBN-13: 9780849342974

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Until recently, fuzzy logic was the intellectual plaything of a handful of researchers. Now it is being used to enhance the power of intelligent systems, as well as improve the performance and reduce the cost of intelligent and "smart" products appearing in the commercial market. Fuzzy Expert Systems focuses primarily on the theory of fuzzy expert systems and their applications in science and engineering. In doing so, it provides the first comprehensive study of "soft" expert systems and applications for those systems. Topics covered include general purpose fuzzy expert systems, processing imperfect information using structured frameworks, the fuzzy linguistic inference network generator, fuzzy associative memories, the role of approximate reasoning in medical expert systems, MILORD (a fuzzy expert systems shell), and COMAX (an autonomous fuzzy expert system for tactical communications networks. Fuzzy Expert Systems provides an invaluable reference resource for researchers and students in artificial intelligence (AI) and approximate reasoning (AR), as well as for other researchers looking for methods to apply similar tools in their own designs of intelligent systems.

Artificial Intelligence & Expert Systems Sourcebook
Artificial Intelligence & Expert Systems Sourcebook

Author: V. Daniel Hunt

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 359

ISBN-13: 1461322618

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Artificial Intelligence and expert systems research, development, and demonstration have rapidly expanded over the past several years; as a result, new terminology is appearing at a phenomenal rate. This sourcebook provides an introduction to artificial intelligence and expert systems, it provides brief definitions, it includes brief descriptions of software products, and vendors, and notes leaders in the field. Extensive support material is provided by delineating points of contact for receiving additional information, acronyms, a detailed bibliography, and other reference data. The terminology includes artificial intelligence and expert system elements for: • Artificial Intelligence • Expert Systems • Natural language Processing • Smart Robots • Machine Vision • Speech Synthesis The Artificial Intelligence and Expert System Sourcebook is compiled from informa tion acquired from numerous books, journals, and authorities in the field of artificial intelligence and expert systems. I hope this compilation of information will help clarify the terminology for artificial intelligence and expert systems' activities. Your comments, revisions, or questions are welcome. V. Daniel Hunt Springfield, Virginia May, 1986 ix Acknowledgments The information in Artificial Intelligence and Expert Systems Sourcebook has been compiled from a wide variety of authorities who are specialists in their respective fields. The following publications were used as the basic technical resources for this book. Portions of these publications may have been used in the book. Those definitions or artwork used have been reproduced with the permission to reprint of the respective publisher.

Instructional Design Theory
Instructional Design Theory

Author: M. David Merrill

Publisher: Educational Technology

Published: 1994

Total Pages: 488

ISBN-13: 9780877782759

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This pack contains two guides to Microsoft Windows 98. Windows 98 User Manual teaches how to use Windows and Windows 98 Hints and Hacks provides advanced information for the user already familiar with Windows.

Expert Systems and Related Topics
Expert Systems and Related Topics

Author: Marlene A. Palmer

Publisher: IGI Global

Published: 1990-01-01

Total Pages: 170

ISBN-13: 9781878289032

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This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.

Expert Systems
Expert Systems

Author: Cornelius T. Leondes

Publisher: Elsevier

Published: 2001-09-26

Total Pages: 2125

ISBN-13: 0080531458

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This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis