Analysis For Knowledge Based Systems

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Knowledge-Based Systems

Author : Rajendra Akerkar
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 Analysis and Design

Author : D. S. W. Tansley
Publisher :
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Systems Analysis and Design by : D. S. W. Tansley

Download or read book Knowledge-based Systems Analysis and Design written by D. S. W. Tansley and published by . This book was released on 1993 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory guide to the use of the KADS method in building Knowledge Based Systems. The book includes: introduction to KADS; explanation of KADS Analysis and Design activities and results with use of examples; and libraries of models and other applications.

Current Trends on Knowledge-Based Systems

Author : Giner Alor-Hernández
Publisher : Springer
ISBN 13 : 3319519050
Total Pages : 302 pages
Book Rating : 4.3/5 (195 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 2017-03-13 with total page 302 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.

Intelligent Knowledge-Based Systems

Author : Cornelius T. Leondes
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 Systems

Author : Rajendra Akerkar
Publisher : Jones & Bartlett Publishers
ISBN 13 : 1449662706
Total Pages : 375 pages
Book Rating : 4.4/5 (496 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 Publishers. This book was released on 2009-08-25 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertainty and Vagueness in Knowledge Based Systems

Author : Rudolf Kruse
Publisher : Springer Science & Business Media
ISBN 13 : 3642767028
Total Pages : 495 pages
Book Rating : 4.6/5 (427 download)

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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.

Knowledge-Based Bioinformatics

Author : Gil Alterovitz
Publisher : John Wiley & Sons
ISBN 13 : 1119995833
Total Pages : 306 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Knowledge-Based Bioinformatics by : Gil Alterovitz

Download or read book Knowledge-Based Bioinformatics written by Gil Alterovitz and published by John Wiley & Sons. This book was released on 2011-04-20 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features: Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology. Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions. Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics. Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.

Handbook of Quantitative Science and Technology Research

Author : Henk F. Moed
Publisher : Springer Science & Business Media
ISBN 13 : 9781402027024
Total Pages : 824 pages
Book Rating : 4.0/5 (27 download)

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Book Synopsis Handbook of Quantitative Science and Technology Research by : Henk F. Moed

Download or read book Handbook of Quantitative Science and Technology Research written by Henk F. Moed and published by Springer Science & Business Media. This book was released on 2004-09-10 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a state-of-the-art overview of quantitative science and technology research. It focuses on the development and application of indicators derived from data on scientific or scholarly publications and patents. It comprises 34 chapters written by leading specialists in the various sub-domains. These chapters deal with theoretical and methodological issues, illustrate applications, and highlight their policy context and relevance. Authors present a survey of the research topics they address, and show their most recent achievements. The 34 chapters are arranged into 5 parts: Disciplinary Approaches; General Methodology; The Science System; The Technology System; and The Science–Technology Interface. The Editor’s Introduction provides a further specification of the handbook’s scope and of the main topics addressed in its chapters. This handbook aims at four distinct groups of readers: – practitioners in the field of science and technology studies; – research students in this field; – scientists, scholars and technicians who are interested in a systematic, thorough analysis of their activities; – policy makers and administrators who wish to be informed about the potentialities and limitations of the various approaches and about their results.

Concepts and Characteristics of Knowledge-based Systems

Author : Mario Tokoro
Publisher : North Holland
ISBN 13 :
Total Pages : 654 pages
Book Rating : 4.:/5 (25 download)

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Book Synopsis Concepts and Characteristics of Knowledge-based Systems by : Mario Tokoro

Download or read book Concepts and Characteristics of Knowledge-based Systems written by Mario Tokoro and published by North Holland. This book was released on 1989 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: A variety of research projects are being conducted at various research institutions throughout the international computer science community concerning the development of Knowledge-Based Systems. Research on such systems originated in association with AI, cognitive science and software sciences. Many of the research projects have involved investigations of computer architectures based on suitable execution models and programming methodologies. This book aims to encourage understanding of what knowledge-based systems are, and of how to design and implement these systems, by bringing together the work of researchers in AI, cognitive science, software sciences and computer architecture.

The Logic of Knowledge Bases

Author : Hector J. Levesque
Publisher : MIT Press
ISBN 13 : 9780262263498
Total Pages : 316 pages
Book Rating : 4.2/5 (634 download)

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Book Synopsis The Logic of Knowledge Bases by : Hector J. Levesque

Download or read book The Logic of Knowledge Bases written by Hector J. Levesque and published by MIT Press. This book was released on 2001-02-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge—a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest. This book is about the logic of such knowledge bases. It describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. Assuming some familiarity with first-order predicate logic, the book offers a new mathematical model of knowledge that is general and expressive yet more workable in practice than previous models. The book presents a style of semantic argument and formal analysis that would be cumbersome or completely impractical with other approaches. It also shows how to treat a knowledge base as an abstract data type, completely specified in an abstract way by the knowledge-level operations defined over it.

Introduction to Knowledge Systems

Author : Mark Stefik
Publisher : Morgan Kaufmann
ISBN 13 :
Total Pages : 906 pages
Book Rating : 4.3/5 (91 download)

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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.

Knowledge Engineering and Management

Author : Guus Schreiber
Publisher : MIT Press
ISBN 13 : 9780262193009
Total Pages : 476 pages
Book Rating : 4.1/5 (93 download)

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Book Synopsis Knowledge Engineering and Management by : Guus Schreiber

Download or read book Knowledge Engineering and Management written by Guus Schreiber and published by MIT Press. This book was released on 2000 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges.

Knowledge-based Expert Systems in Chemistry

Author : Philip Judson
Publisher : Royal Society of Chemistry
ISBN 13 : 0854041605
Total Pages : 223 pages
Book Rating : 4.8/5 (54 download)

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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.

Information Modelling and Knowledge Bases III

Author : Setsuo Ohsuga
Publisher : IOS Press
ISBN 13 : 9789051990737
Total Pages : 726 pages
Book Rating : 4.9/5 (97 download)

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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.

Prediction and Analysis for Knowledge Representation and Machine Learning

Author : Avadhesh Kumar
Publisher : CRC Press
ISBN 13 : 1000484211
Total Pages : 232 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Prediction and Analysis for Knowledge Representation and Machine Learning by : Avadhesh Kumar

Download or read book Prediction and Analysis for Knowledge Representation and Machine Learning written by Avadhesh Kumar and published by CRC Press. This book was released on 2022-01-31 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system’s perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems. Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book’s website. Features: Examines the representational adequacy of needed knowledge representation Manipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original information Improves inferential and acquisition efficiency by applying automatic methods to acquire new knowledge Covers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technology Describes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarter This book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which include both basic and advanced concepts.

Knowledge-Based System Diagnosis, Supervision, and Control

Author : S.G. Tzafestas
Publisher : Springer
ISBN 13 : 9781489924735
Total Pages : 305 pages
Book Rating : 4.9/5 (247 download)

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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.

The Knowledge-based Economy

Author : Loet Leydesdorff
Publisher : Universal-Publishers
ISBN 13 : 1581129378
Total Pages : 392 pages
Book Rating : 4.5/5 (811 download)

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Book Synopsis The Knowledge-based Economy by : Loet Leydesdorff

Download or read book The Knowledge-based Economy written by Loet Leydesdorff and published by Universal-Publishers. This book was released on 2006 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK ________________________________________ "This book is a ground-breaking collection of theory and techniques to help understand the internal dynamics of the modern knowledge-based economy, including issues such as stability, anticipation, and interactions amongst components. The combination of theory, measurement, and modelling gives the necessary power with which to address the complexity of modern networked social systems. Each on its own would partly illuminate an innovation system, but the combination sheds a far brighter light." Mike Thelwall Information Science, University of Wolverhampton, UK ________________________________________ "The sociologist Niklas Luhmann is considered one of the few social scientists possibly able to explain a decisive event once it has happened. In this book, Loet Leydesdorff answers the challenge to take Luhmann's analysis one step further by introducing anticipation into the theory. This book provides a fascinating exploration of the use of recursion and incursion to model social processes." Dirk Baecker Sociology, Universität Witten/Herdecke, Germany ________________________________________ How can an economy based on something as volatile as knowledge be sustained? The urgency of improving our understanding of a knowledge-based economy provides the context and necessity of this study. In a previous study entitled A Sociological Theory of Communications: The Self-Organization of the Knowledge-based Society (2001) the author specified knowledge-based systems from a sociological perspective. In this book, he takes this theory one step further and demonstrates how the knowledge base of an economic system can be operationalized, both in terms of measurement and by providing simulation models.