Expert Systems and Intelligent Computer-aided Instruction

Expert Systems and Intelligent Computer-aided Instruction PDF Author: Educational Technology Magazine Staff
Publisher: Educational Technology
ISBN: 9780877782247
Category : Computers
Languages : en
Pages : 220

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Expert Systems and Intelligent Computer-aided Instruction

Expert Systems and Intelligent Computer-aided Instruction PDF Author: Educational Technology Magazine Staff
Publisher: Educational Technology
ISBN: 9780877782247
Category : Computers
Languages : en
Pages : 220

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Expert Systems in Education and Training

Expert Systems in Education and Training PDF Author: Thomas D. McFarland
Publisher: Educational Technology
ISBN: 9780877782100
Category : Computers
Languages : en
Pages : 280

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Computer-Based Instruction in Military Environments

Computer-Based Instruction in Military Environments PDF Author: Robert J. Seidel
Publisher: Springer Science & Business Media
ISBN: 1461309158
Category : Computers
Languages : en
Pages : 348

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Book Description
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 PDF Author: Abraham Kandel
Publisher: CRC Press
ISBN: 9780849342974
Category : Computers
Languages : en
Pages : 344

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Book Description
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 PDF Author: V. Daniel Hunt
Publisher: Springer Science & Business Media
ISBN: 1461322618
Category : Computers
Languages : en
Pages : 359

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Book Description
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.

Expert Systems

Expert Systems PDF Author: Cornelius T. Leondes
Publisher: Elsevier
ISBN: 0080531458
Category : Computers
Languages : en
Pages : 2125

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Book Description
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

Expert Systems and Related Topics

Expert Systems and Related Topics PDF Author: Marlene A. Palmer
Publisher: IGI Global
ISBN: 9781878289032
Category : Computers
Languages : en
Pages : 170

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Book Description
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.

Machine Learning

Machine Learning PDF Author: R.S. Michalski
Publisher: Springer Science & Business Media
ISBN: 366212405X
Category : Computers
Languages : en
Pages : 564

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Book Description
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.

Machine Learning

Machine Learning PDF Author: Ryszard S. Michalski
Publisher: Elsevier
ISBN: 008051054X
Category : Computers
Languages : en
Pages : 585

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Book Description
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.

Designing and Developing Robust Instructional Apps

Designing and Developing Robust Instructional Apps PDF Author: Kenneth J. Luterbach
Publisher: Routledge
ISBN: 1351399713
Category : Education
Languages : en
Pages : 239

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Book Description
Designing and Developing Robust Instructional Apps advances the state of instructional app development using three learning paradigms for building knowledge foundations, problem-solving, and experimentation. Drawing on research and development lessons gleaned from noted educational technologists, time-tested systematic instructional design processes, and results from user experience design, the book considers the planning and specification of instructional apps that blend media (text, images, sound, and moving pictures) and instructional method. Further, for readers with little to no programming experience, introductory treatments of JavaScript and Python, along with data fundamentals and machine learning techniques, offer a guided journey that produces robust instructional apps and concludes with next steps for advancing the state of instructional app development.