Knowledge Based Systems
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Intelligent Knowledge Based Systems
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Author : Cornelius T. Leondes
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-04-28
Intelligent Knowledge Based Systems written by Cornelius T. Leondes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-28 with Computers categories.
For most of our history the wealth of a nation was limited by the size and stamina of the work force. Today, national wealth is measured in intellectual capital. Nations possessing skillful people in such diverse areas as science, medicine, business, and engineering produce innovations that drive the nation to a higher quality of life. To better utilize these valuable resources, intelligent, knowledge-based systems technology has evolved at a rapid and significantly expanding rate. Reflecting the most fascinating AI-based research and its broad practical applications, intelligent, knowledge-based systems technology is being utilized by nations to improve their medical care, advance their engineering technology, and increase their manufacturing productivity, as well as play a significant role in a very wide variety of other areas of activity of substantive significance. Today, in the beginning of the 21st century, it is difficult to imagine the development of the modern world without extensive use of the AI information technology that is rapidly transforming the global, knowledge- based economy as well as entire societies. The breadth of the major application areas of intelligent, knowledge-based systems technology is very impressive. These include, among other areas: Agriculture, Business, Chemistry, Communications, Computer Systems, Education, Electronics, Engineering, Environment, Geology, Image Processing, Information Management, Law, Manufacturing, Mathematics, Medicine, Meteorology, Military, Mining, Power Systems, Science, Space Technology, and Transportation. The great breadth and expanding significance of this field on the international scene require a multi-volume, major reference work for an adequately substantive treatment of the subject, "Intelligent Knowledge-Based Systems: Business and Technology in The New Millennium." This work consists of the following distinctly titled and well integrated volumes. Volume I. Knowledge-Based Systems; Volume II. Information Technology; Volume III.Expert and Agent Systems; Volume IV.Intelligent Systems; Volume V.Neural Networks. This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The Volumes: Volume 1, Knowledge-Based Systems, addresses the basic question of how accumulated data and staff expertise from business operations can be abstracted into useful knowledge, and how such knowledge can be applied to ongoing operations. The wide range of areas represented includes product innovation and design, intelligent database exploitation, and business model analysis. (Eleven chapters) Volume 2, Information Technology, addresses the important question of how data should be stored and used to maximize its overall value. Case studies examine a wide variety of application areas including product development, manufacturing, product management, and product pricing. (Ten chapters) Volume 3, Expert and Agent Systems, considers such application areas as image databases, business process monitoring, e-commerce, and production planning and scheduling, offering a wide range of perspectives and business-function concentrations to stimulate readers' innovative thought. (Ten chapters) Volume 4, Intelligent Systems, discusses applications in such areas as mission-critical functions, business forecasting, medical patient care, and product design and development. (Nine chapters) Volume 5, Neural Networks, Fuzzy Theory, and Genetic Algorithm Techniques, explores applications in such areas as bioinformatics, product life-cycle cost estimating, product development, computer-aided design, product assembly, and facility location. (Ten chapters) The discussions in these volumes provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.
Knowledge Based Systems
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Author : Rajendra Akerkar
language : en
Publisher: Jones & Bartlett Publishers
Release Date : 2009-08-25
Knowledge Based Systems written by Rajendra Akerkar and has been published by Jones & Bartlett Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-25 with Computers categories.
A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.
Current Trends On Knowledge Based Systems
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Author : Giner Alor-Hernández
language : en
Publisher: Springer
Release Date : 2017-03-13
Current Trends On Knowledge Based Systems written by Giner Alor-Hernández and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-13 with Technology & Engineering categories.
This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.
Knowledge Based Systems Four Volume Set
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Author : Cornelius T. Leondes
language : en
Publisher: Elsevier
Release Date : 2000-07-11
Knowledge Based Systems Four Volume Set written by Cornelius T. Leondes and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-11 with Computers categories.
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.
Program Design For Knowledge Based Systems
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Author : Graham Winstanley
language : en
Publisher: SIGMA Press
Release Date : 1987
Program Design For Knowledge Based Systems written by Graham Winstanley and has been published by SIGMA Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Logical Foundations For Rule Based Systems
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Author : Antoni Ligeza
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-10
Logical Foundations For Rule Based Systems written by Antoni Ligeza and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-10 with Computers categories.
The book presents logical foundations for rule-based systems. An attempt has been made to provide an in-depth discussion of logical and other aspects of such systems, including languages for knowledge representation, inference mechanisms, inference control, design and verification. The ultimate goal was to provide a deeper theoretical insight into the nature of rule-based systems and put together the most complete presentation including details so frequently skipped in typical textbooks. The book may be useful to potentially wide audience, but it is aimed at providing specific knowledge for graduate, post-graduate and Ph.D. students, as well as knowledge engineers and research workers involved in the domain of AI. It also constitutes a summary of the Author’s research and experience gathered through several years of his research work.
Decision Systems
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Author : Pallavi Vijay Chavan
language : en
Publisher: Morgan Kaufmann
Release Date : 2026-01-01
Decision Systems written by Pallavi Vijay Chavan and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks provides readers with a comprehensive understanding of the principal techniques used to build effective decision-making systems. This book covers the fundamental principles and concepts of machine learning, fuzzy logic, and artificial neural networks, and explains how these techniques can be used to build intelligent decision-making systems that can learn from data, reason, and make accurate predictions. The book also presents a wide range of applications of machine learning, fuzzy logic, and artificial neural networks in various domains, such as engineering, medicine, finance, and robotics. The book also provides practical guidance on how to design and implement effective decision-making systems using these techniques and discusses the potential challenges and limitations of machine learning, fuzzy logic, and artificial neural networks, and how to overcome them. The book provides a stepwise approach to provide readers with the knowledge and tools they need to build intelligent decision-making systems, including a robust introduction to the mathematical concepts and principles necessary to understand the concepts and applications of Decision Systems and Machine Learning algorithms. Next, the book provides readers with an in-depth explanation and demonstration of two of the major machine learning techniques – Fuzzy Logic/Fuzzy Set Theory and Artificial Neural Networks – followed by an in-depth look at more advanced topics that play essential roles in making machine learning algorithms more useful in practice, including creating full-fledged Recurrent Networks and their mathematical foundations, Associative Memories, and Deep Learning networks such as Convolutional Neural Networks, Generative Adversarial Networks, Radial Basis Function Networks, Multilayer Perceptrons, and Self-Organizing Maps. The lynchpin of the book provides readers with an understanding of how the various types of techniques can be integrated to create dynamic Decision Systems. The book wraps up with coverage of challenges and opportunities in Decision Systems along with real-world applications of Decision Systems with case studies in healthcare, finance, education, social media, and agriculture. - Covers foundational concepts, advanced theories, and real-world applications, ensuring readers gain a thorough understanding of Decision Systems - Presents the foundational mathematics behind the various techniques covered, including stepwise mathematical formula development, R and Python code syntax listings for the worked examples, and stepwise methods and procedures for application algorithms - Illustrates how fuzzy logic and neural networks can be integrated with other disciplines like machine learning, optimization, and data science to create powerful hybrid solutions
On Knowledge Base Management Systems
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Author : Michael L. Brodie
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
On Knowledge Base Management Systems written by Michael L. Brodie and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.
Artificial Intelligence In Real Time Control
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Author : M. G. Rodd
language : en
Publisher: Elsevier
Release Date : 2014-05-23
Artificial Intelligence In Real Time Control written by M. G. Rodd and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
Artificial Intelligence in Real-Time Control documents the proceedings of the IFAC Workshop held in Clyne Castle, Swansea, UK, 21-23 September 1988. It includes two keynote addresses that discussed architectural issues for expert systems in real-time control; the problem of representing knowledge and reasoning; and the problems encountered in obtaining such information. Other papers contained in these proceedings are representative of the major research bodies active throughout the world in the application of AI techniques in real-time control, although it was inevitable that a Europe-based conference would highlight the work of the European groups. While AI is clearly still in the process of establishing itself, it is undoubtedly a major new area of engineering endeavor. Practical experience is still relatively limited, and many of the results discussed at this event were obtained through simulation or, in a few cases, from reduced practical experience. The importance, though, lies in the fact that many countries are pouring extensive resources into the attempt to control difficult processes by using AI techniques. The wide cross section of interest was demonstrated by the fact that many diverse industries were represented at the workshop—ranging from power-systems control to telecommunications, and into the steel industry.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1994
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Aeronautics categories.