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Introduction To Knowledge Base Systems
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Book Synopsis Introduction To Database And Knowledge-base Systems by : S Krishna
Download or read book Introduction To Database And Knowledge-base Systems written by S Krishna and published by World Scientific Publishing Company. This book was released on 1992-03-26 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive yet concise coverage of the concepts and technology of database systems and their evolution into knowledge-bases. The traditional material on database systems at senior undergraduate level is covered. An understanding of concepts is emphasized avoiding extremes in formalism or detail.Rather than be restricted to a single example used over an entire book, a variety of examples are used. These enable the reader to understand the basic abstractions which underlie description of many practical situations.A major portion of the book concerns database system technology with focus on the relational model. Various topics are discussed in detail, preparing the ground for more advanced work.
Book Synopsis Introduction to Knowledge Systems by : Mark Stefik
Download or read book Introduction to Knowledge Systems written by Mark Stefik and published by Morgan Kaufmann. This book was released on 1995 with total page 906 pages. Available in PDF, EPUB and Kindle. Book excerpt: The art of building knowledge systems is multidisciplinary, incorporating computer science theory, programming practice and psychology. This book incorporates these varied fields covering topics ranging from algorithms and representations to techniques for acquiring the task specific knowledge.
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.
Book Synopsis Introduction to Knowledge Base Systems by : Richard A. Frost
Download or read book Introduction to Knowledge Base Systems written by Richard A. Frost and published by Macmillan Publishing Company. This book was released on 1986 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction To Database And Knowledge-base Systems by : S. Krishna
Download or read book Introduction To Database And Knowledge-base Systems written by S. Krishna and published by . This book was released on 1991 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to Expert Systems by : Robert J. Mockler
Download or read book An Introduction to Expert Systems written by Robert J. Mockler and published by MacMillan Publishing Company. This book was released on 1992 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Knowledge Systems by : Mark Stefik
Download or read book Introduction to Knowledge Systems written by Mark Stefik and published by Elsevier. This book was released on 2014-06-28 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on fundamental scientific and engineering issues, this book communicates the principles of building and using knowledge systems from the conceptual standpoint as well as the practical. Previous treatments of knowledge systems have focused on applications within a particular field, or on symbol-level representations, such as the use of frame and rule representations. Introduction to Knowledge Systems presents fundamentals of symbol-level representations including representations for time, space, uncertainty, and vagueness. It also compares the knowledge-level organizations for three common knowledge-intensive tasks: classification, configuration, and diagnosis. The art of building knowledge systems incorporates computer science theory, programming practice, and psychology. The scope of this book is appropriately broad, ranging from the design of hierarchical search algorithms to techniques for acquiring the task-specific knowledge needed for successful applications. Each chapter proceeds from concepts to applications, and closes with a brief tour of current research topics and open issues. Readers will come away with a solid foundation that will enable them to create real-world knowledge systems using whatever tools and programming languages are most current and appropriate.
Book Synopsis Uncertainty and Vagueness in Knowledge Based Systems by : Rudolf Kruse
Download or read book Uncertainty and Vagueness in Knowledge Based Systems written by Rudolf Kruse and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. It puts particular emphasis on a thorough analysis of these phenomena and on the development of sound mathematical modeling approaches. Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems. The fundamental ambition of this book is to show that vagueness and un certainty can be handled adequately by using measure-theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms substantiates the claim that efficiency requirements do not necessar ily require renunciation of an uncompromising mathematical modeling. These results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions. The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems. It is in particular suit able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical background is necessary for reading this book. Essential parts of the material have been the subject of courses given by the first author for students of computer science and mathematics held since 1984 at the University in Braunschweig.
Book Synopsis Knowledge-Based Configuration by : Alexander Felfernig
Download or read book Knowledge-Based Configuration written by Alexander Felfernig and published by Newnes. This book was released on 2014-04-02 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive behavior with the user. This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration. Foundational interdisciplinary material is provided for composing models from increasingly complex products and services. Case studies, the latest research, and graphical knowledge representations that increase understanding of knowledge-based configuration provide a toolkit to continue to push the boundaries of what configurators can do and how they enable companies and customers to thrive. - Includes detailed discussion of state-of-the art configuration knowledge engineering approaches such as automated testing and debugging, redundancy detection, and conflict management - Provides an overview of the application of knowledge-based configuration technologies in the form of real-world case studies from SAP, Siemens, Kapsch, and more - Explores the commercial benefits of knowledge-based configuration technologies to business sectors from services to industrial equipment - Uses concepts that are based on an example personal computer configuration knowledge base that is represented in an UML-based graphical language
Book Synopsis Knowledge-Based System Diagnosis, Supervision, and Control by : S.G. Tzafestas
Download or read book Knowledge-Based System Diagnosis, Supervision, and Control written by S.G. Tzafestas and published by Springer. This book was released on 2013-05-31 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is in the area of Systems Diagnosis. Supervision and Control that Knowledge-Based Techniques have had their most significant impact in recent years. In this volume. Spyros Tzafestas has ably put together the current state of the art of the application of Artificial Intelligence concepts to problems of Systems Diagnosis. All the authors in this edited work are distinguished internationally. recognized experts on various aspects of Artificial Intelligence and its applications. and the coverage of the field that they provide is both readable and authoritative. The sixteen chapters break down in a natural way into three broad categories i.e •• (a) introduction to the applications of Expert Systems in Engineering. (b) Knowledge-based systems architectures. models and techniques for fault diagnosis. supervision and real time control and finally. (c) applications and case studies in three specific 'areas. namely: Manufacturing. Chemical Processes and Communications Networks. The final chapter provides a com prehensive survey of the field with an extensive bibliography. The mix of original scientific articles. tutorial and survey papers makes this col lection a very timely and valuable addition to the literature in this important field. MADAN G. SINGH Professor of Information Engineering at U.M.I.S.T.
Book Synopsis Information Modelling and Knowledge Bases III by : Setsuo Ohsuga
Download or read book Information Modelling and Knowledge Bases III written by Setsuo Ohsuga and published by IOS Press. This book was released on 1992 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.
Author :W. J. Black Publisher :Wokingham, Berkshire, England : Van Nostrand Reinhold (UK) ISBN 13 : Total Pages :180 pages Book Rating :4.3/5 (91 download)
Book Synopsis Intelligent Knowledge Based Systems by : W. J. Black
Download or read book Intelligent Knowledge Based Systems written by W. J. Black and published by Wokingham, Berkshire, England : Van Nostrand Reinhold (UK). This book was released on 1986 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Information and Database Systems by : Ali Selamat
Download or read book Intelligent Information and Database Systems written by Ali Selamat and published by Springer. This book was released on 2013-02-26 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7802 and LNAI 7803 constitutes the refereed proceedings of the 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013, held in Kuala Lumpur, Malaysia in March 2013. The 108 revised papers presented were carefully reviewed and selected from numerous submissions. The papers included are grouped into topical sections on: innovations in intelligent computation and applications; intelligent database systems; intelligent information systems; tools and applications; intelligent recommender systems; multiple modal approach to machine learning; engineering knowledge and semantic systems; computational biology and bioinformatics; computational intelligence; modeling and optimization techniques in information systems, database systems and industrial systems; intelligent supply chains; applied data mining for semantic Web; semantic Web and ontology; integration of information systems; and conceptual modeling in advanced database systems.
Book Synopsis Knowledge-based Expert Systems in Chemistry by : Philip Judson
Download or read book Knowledge-based Expert Systems in Chemistry written by Philip Judson and published by Royal Society of Chemistry. This book was released on 2009 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the development of knowledge-based, and related, expert systems in chemistry and toxicology. It shows how computers can work with qualitative information where precise numerical methods are not satisfactory.
Book Synopsis Introduction to knowledge base systems by : Richard A. Frost
Download or read book Introduction to knowledge base systems written by Richard A. Frost and published by . This book was released on 1987 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
