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.

The Engineering of Knowledge-based Systems

Author : Avelino J. González
Publisher :
ISBN 13 :
Total Pages : 554 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Engineering of Knowledge-based Systems by : Avelino J. González

Download or read book The Engineering of Knowledge-based Systems written by Avelino J. González and published by . This book was released on 1993 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides comprehensive single-volume coverage of both the theory and the applications of knowledge-based systems.

Building Large Knowledge-based Systems

Author : Douglas B. Lenat
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Building Large Knowledge-based Systems by : Douglas B. Lenat

Download or read book Building Large Knowledge-based Systems written by Douglas B. Lenat and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter one presents the Cyc "philosophy" or paradigm. Chapter 2 presents a global overview of Cyc, including its representation language, the ontology f its knowledge base, and teh environment which it functions. Chapter 3 goes into much more detail on the representation language, including the structure and function of Cyc's metalevel agenda mechanism. Chapter 4 presents heuristics for ontological engineering, the pricnples upon whcihc Cyc's ontology is based. Chapter 5 the provides a glimpse into the global ontology of knowledge. Chapter 6 explains how we "solve" (i.e., adequately handle) the various tough representation thorns (substances, time, space, structures, composite mental/physical objects, beliefs, uncertainty, etc. ). Chapter 7 surveys the mistakes that new knowledge tnereres most often commit. Chapter 8, the concluding chapter, includes a brief status report on the project, and a statement of goals and a timetable for the coming five years.

Knowledge-based Systems in Artificial Intelligence

Author : Randall Davis
Publisher :
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Systems in Artificial Intelligence by : Randall Davis

Download or read book Knowledge-based Systems in Artificial Intelligence written by Randall Davis and published by . This book was released on 1982 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: AM: discovery in mathematics as heuristic search. Example: discovering prime numbers. Agenda. Heuristics. Concepts. Results. Evaluating AM. Appendixes. Concepts. Heuristics. Trace. Bibliography. Teiresias: applications of meta-level knowledge. Explanation. Knowledge acquisition. Strategies. Conclusions. References.

Development of Knowledge-Based Systems for Engineering

Author : Carlo Tasso
Publisher : Springer
ISBN 13 : 370912784X
Total Pages : 241 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Development of Knowledge-Based Systems for Engineering by : Carlo Tasso

Download or read book Development of Knowledge-Based Systems for Engineering written by Carlo Tasso and published by Springer. This book was released on 2014-05-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.

Knowledge-based Systems in Engineering

Author : Clive L. Dym
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Systems in Engineering by : Clive L. Dym

Download or read book Knowledge-based Systems in Engineering written by Clive L. Dym and published by McGraw-Hill Companies. This book was released on 1991 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates the fundamentals of artifical intelligence (AI) approaches to knowledge representation with engineering examples. Its unified treatment makes it an essential tool in this emerging new field. Combining an informed approach to AI with engineering problem solving, this book is suitable for an introductory course on AI/expert systems which is specifically offered to engineers. The text provides an in-depth appreciation of the AI fundamentals underlying knowledge-based systems and covers rule-based, frame-based, and object-oriented representation with many engineering illustrations.

Expert Systems

Author : Nikolopoulos
Publisher : CRC Press
ISBN 13 : 9780824799274
Total Pages : 356 pages
Book Rating : 4.7/5 (992 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 356 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.;College or university bookshops may order five or more copies at a special student price. Price is available on request.

Current Trends on Knowledge-Based Systems

Author : Giner Alor-Hernández
Publisher : Springer
ISBN 13 : 3319519050
Total Pages : 290 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 290 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.

Building Knowledge-Based Systems for Natural Resource Management

Author : Daniel L. Schmoldt
Publisher : Springer Science & Business Media
ISBN 13 : 1461311551
Total Pages : 407 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Building Knowledge-Based Systems for Natural Resource Management by : Daniel L. Schmoldt

Download or read book Building Knowledge-Based Systems for Natural Resource Management written by Daniel L. Schmoldt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: If one were forced to use a single key word to describe the decade of the 1980's, a very prominent one would be "technology. " Leading the forefront of tech nology advancement were breakthroughs in electronics. Devices that were uncommon or unknown in 1980 became commonplace, and almost indispens able, by 1989. This trend has continued into the 1990's and it does not seem to be abating in any way. Microwave ovens, video recorders, telephone answer ing machines, compact disc players, computers, and a host of smaller or less sophisticated devices now appear in most households. The development of small and inexpensive computers, i. e. , personal computers, has placed computing resources within reach of many more people. In addition, many traditional, and largely mechanical devices, have been enhanced by electronics. For example, specialized microprocessors are combined with arrays of electronic sensors to control and monitor sophisticated engineering components in most new auto mobiles. In this and many other ways, we are touched by the new electronics in almost every aspect of our daily lives. Initially, personal computers were little more than toys. They contained only a small fraction of the computing power of their immediate ancestors, the mini computers and mainframe computers. However, rapid improvements in integ rated circuit design and chip manufacture produced regular reductions in size and cost of computer components. During the same time, processor speed and sophistication increased.

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.

Advances in Knowledge-Based and Intelligent Information and Engineering Systems

Author : Manuel Graña
Publisher : IOS Press
ISBN 13 : 1614991049
Total Pages : 2307 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Advances in Knowledge-Based and Intelligent Information and Engineering Systems by : Manuel Graña

Download or read book Advances in Knowledge-Based and Intelligent Information and Engineering Systems written by Manuel Graña and published by IOS Press. This book was released on 2012 with total page 2307 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.

Introduction to Knowledge Systems

Author : Mark Stefik
Publisher : Elsevier
ISBN 13 : 0080509169
Total Pages : 896 pages
Book Rating : 4.0/5 (85 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 Elsevier. This book was released on 2014-06-28 with total page 896 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.

Knowledge-based Systems: Systems and applications

Author : Cornelius T. Leondes
Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Systems: Systems and applications by : Cornelius T. Leondes

Download or read book Knowledge-based Systems: Systems and applications written by Cornelius T. Leondes and published by . This book was released on 2000 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:

On Knowledge Base Management Systems

Author : Michael L. Brodie
Publisher : Springer Science & Business Media
ISBN 13 : 1461249805
Total Pages : 650 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis On Knowledge Base Management Systems by : Michael L. Brodie

Download or read book On Knowledge Base Management Systems written by Michael L. Brodie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Knowledge-based Expert Systems in Chemistry

Author : Philip Judson
Publisher : Royal Society of Chemistry
ISBN 13 : 1788014715
Total Pages : 284 pages
Book Rating : 4.7/5 (88 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 2019-02-07 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009. This new edition has been thoroughly revised and updated to reflect the advances. The underlying theme of the book is still the need for computer systems that work with uncertain or qualitative data to support decision-making based on reasoned judgements. With the continuing evolution of regulations for the assessment of chemical hazards, and changes in thinking about how scientific decisions should be made, that need is ever greater. Knowledge-based expert systems are well established in chemistry, especially in relation to toxicology, and they are used routinely to support regulatory submissions. The effectiveness and continued acceptance of computer prediction depends on our ability to assess the trustworthiness of predictions and the validity of the models on which they are based. Written by a pioneer in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry. r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.

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.