The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.
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Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.
The tremendous accumulation of skills, expertise, and scientific knowledge by a great diversity of institutions brings the challenge of organizing and archiving these data for use in the most efficient manner. This four-volume set is the most comprehensive reference on the engineering and technological tools needed for efficient knowledge management. Among the topics that this unique and essential reference work addresses are the infrastructure, communications, and database designs required to achieve efficient and cost-effective systems. Knowledge-based systems techniques will be one of the key technologies sustaining the economy of the new millennium.
The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine, they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision making.
With volumes focusing on implementation, optimization, computer techniques, and systems and applications, Knowledge-Based Systems: Techniques and Applications constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.|The tremendous accumulation of skills, expertise, and scientific knowledge by a great diversity of institutions brings the challenge of organizing and archiving these data for use in the most efficient manner. This four-volume set is the most comprehensive reference on the engineering and technological tools needed for efficient knowledge management. Among the topics that this unique and essential reference work addresses are the infrastructure, communications, and database designs required to achieve efficient and cost-effective systems. Knowledge-based systems techniques will be one of the key technologies sustaining the economy of the new millennium.
The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine, they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision making.
With volumes focusing on implementation, optimization, computer techniques, and systems and applications,Knowledge-Based Systems: Techniques and Applications constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.
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