Intelligent knowledge-based systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9781402078279
Total Pages : 484 pages
Book Rating : 4.0/5 (782 download)

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Book Synopsis Intelligent knowledge-based systems by : Cornelius T. Leondes

Download or read book Intelligent knowledge-based systems written by Cornelius T. Leondes and published by Springer Science & Business Media. This book was released on 2005 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, majorreference 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 anddevelopment. (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.

An Introduction to Knowledge Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 1846286670
Total Pages : 294 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis An Introduction to Knowledge Engineering by : Simon Kendal

Download or read book An Introduction to Knowledge Engineering written by Simon Kendal and published by Springer Science & Business Media. This book was released on 2007-08-08 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Knowledge-based Systems and Neural Networks

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Author :
Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Systems and Neural Networks by : Ramesh Sharda

Download or read book Knowledge-based Systems and Neural Networks written by Ramesh Sharda and published by Elsevier Publishing Company. This book was released on 1991 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: With countless applications, knowledge-based systems are undergoing an explosive rate of growth. Thousands of organizations in business, government and military are using these systems. Neural networks, though newer, are experiencing the same kind of growth and are assuredly not lagging far behind. This book presents recent advances in techniques and applications implemented in both knowledge-based systems and neural networks. The book will be of particular interest to researchers and practitioners working on and with artificial intelligence.

Knowledge-Based Systems

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Publisher : Jones & Bartlett Learning
ISBN 13 : 0763776475
Total Pages : 375 pages
Book Rating : 4.7/5 (637 download)

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Book Synopsis Knowledge-Based Systems by : Rajendra Akerkar

Download or read book Knowledge-Based Systems written by Rajendra Akerkar and published by Jones & Bartlett Learning. This book was released on 2010-08-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users 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 are 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 being presented and to stimulate thought and discussion.

Knowledge-Based Systems, Four-Volume Set

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Publisher : Elsevier
ISBN 13 : 0080535283
Total Pages : 1554 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Knowledge-Based Systems, Four-Volume Set by : Cornelius T. Leondes

Download or read book Knowledge-Based Systems, Four-Volume Set written by Cornelius T. Leondes and published by Elsevier. This book was released on 2000-07-11 with total page 1554 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge-Based Image Processing Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540760276
Total Pages : 204 pages
Book Rating : 4.7/5 (62 download)

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Book Synopsis Knowledge-Based Image Processing Systems by : Deryn Graham

Download or read book Knowledge-Based Image Processing Systems written by Deryn Graham and published by Springer Science & Business Media. This book was released on 1997-04-04 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based (or expert systems) and image processing have been applied to many domains but, although both fields frequently address common application areas, they are rarely applied together. Often a combined knowledge-based system and image processing approach can be highly appropriate and this book provides an insight into both areas and show students how a judicious mix of the two can result in a more effective system. The authors include detailed case studies to illustrate the two approaches as well as worked examples and solutions to problems throughout the text. Third and fourth year undergraduates and MSc students with some computer science background will find this book invaluable. Postgraduates and researchers looking for an introduction to either area - or ways to combine the two - will also welcome this clearly written and comprehensive text.

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

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Author :
Publisher : Marcel Alencar
ISBN 13 : 0262112124
Total Pages : 581 pages
Book Rating : 4.2/5 (621 download)

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Book Synopsis Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by : Nikola K. Kasabov

Download or read book Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering written by Nikola K. Kasabov and published by Marcel Alencar. This book was released on 1996 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Current Trends on Knowledge-Based Systems

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Publisher : Springer
ISBN 13 : 9783319519043
Total Pages : 0 pages
Book Rating : 4.5/5 (19 download)

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Book Synopsis Current Trends on Knowledge-Based Systems by : Giner Alor-Hernández

Download or read book Current Trends on Knowledge-Based Systems written by Giner Alor-Hernández and published by Springer. This book was released on 2017-03-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robot Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 1461531845
Total Pages : 247 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Robot Learning by : J. H. Connell

Download or read book Robot Learning written by J. H. Connell and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action. Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration.

Expert Systems

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Publisher : CRC Press
ISBN 13 : 1000064972
Total Pages : 353 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Expert Systems by : Nikolopoulos

Download or read book Expert Systems written by Nikolopoulos and published by CRC Press. This book was released on 1997-01-10 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering an introduction to the field of expert/knowledge based systems, this text covers current and emerging trends as well as future research areas. It considers both the system shell and programming environment approaches to expert system development.

Intelligent Systems for Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 1447106318
Total Pages : 843 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Systems for Engineering by : Ram D. Sriram

Download or read book Intelligent Systems for Engineering written by Ram D. Sriram and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities.

Neural Networks and Knowledge Based Systems

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Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Neural Networks and Knowledge Based Systems by : Matthew K. O. Lee

Download or read book Neural Networks and Knowledge Based Systems written by Matthew K. O. Lee and published by . This book was released on 1988 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge-based Systems for Industrial Control

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Publisher : Institution of Engineering & Technology
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Systems for Industrial Control by : J. McGhee

Download or read book Knowledge-based Systems for Industrial Control written by J. McGhee and published by Institution of Engineering & Technology. This book was released on 1990 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers four main issues: the background of knowledge-based control, artificial intelligence, applications of knowledge expertise, and deductive control.

XPS-99: Knowledge-Based Systems - Survey and Future Directions

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Publisher : Springer
ISBN 13 : 354049149X
Total Pages : 235 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis XPS-99: Knowledge-Based Systems - Survey and Future Directions by : Frank Puppe

Download or read book XPS-99: Knowledge-Based Systems - Survey and Future Directions written by Frank Puppe and published by Springer. This book was released on 2005-11-20 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: A special year like 1999 invites one to draw a balance of what has been achieved in the roughly 30 years of research and development in knowledge based systems (still abbreviated as XPS following the older term “expert systems”) and to take a look at th what the future may hold. For the 5 German conference on knowledge-based systems we therefore asked current and former speakers of the four working groups (FG’s) in the subdivision of knowledge-based systems (FA 1.5) of the German association of Informatics (GI) to present a survey of and future prospects for their respective fields: knowledge engineering, diagnosis, configuration, and case-based reasoning. An additional 14 technical papers deal with current topics in knowledge-based systems with an equal emphasis on methods and applications. They are selected from more than 50 papers accepted in the 4 parallel workshops of XPS-99: a) Knowledge Management, Organizational Memory and Reuse, b) various fields of applications, c) the traditional PuK Workshop (planning and configuration), and d) the GWCBR (German workshop on case-based reasoning). The other papers presented at these workshops are not included in this volume but are available as internal reports of Würzburg university together with the exhibition guide that emphasizing tool support for building knowledge based systems.

Intelligent knowledge based systems in electrical power engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 1461563879
Total Pages : 233 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Intelligent knowledge based systems in electrical power engineering by : J.R. McDonald

Download or read book Intelligent knowledge based systems in electrical power engineering written by J.R. McDonald and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.

Intelligent Knowledge-Based Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1402078293
Total Pages : 2041 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Knowledge-Based Systems by : Cornelius T. Leondes

Download or read book Intelligent Knowledge-Based Systems written by Cornelius T. Leondes and published by Springer Science & Business Media. This book was released on 2010-04-28 with total page 2041 pages. Available in PDF, EPUB and Kindle. Book excerpt: This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The discussions 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 Neurocomputing

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Author :
Publisher : MIT Press
ISBN 13 : 9780262032742
Total Pages : 512 pages
Book Rating : 4.0/5 (327 download)

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Book Synopsis Knowledge-based Neurocomputing by : Ian Cloete

Download or read book Knowledge-based Neurocomputing written by Ian Cloete and published by MIT Press. This book was released on 2000 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.ContributorsC. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada