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.

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.

Handbook for Evaluating Knowledge-Based Systems

Author : Leonard Adelman
Publisher : Springer Science & Business Media
ISBN 13 : 146156171X
Total Pages : 402 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Handbook for Evaluating Knowledge-Based Systems by : Leonard Adelman

Download or read book Handbook for Evaluating Knowledge-Based Systems written by Leonard Adelman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based systems are increasingly found in a wide variety of settings and this handbook has been written to meet a specific need in their widening use. While there have been many successful applications of knowledge-based systems, some applications have failed because they never received the corrective feedback that evaluation provides for keeping development focused on the users' needs in their actual working environment. This handbook provides a conceptual framework and compendium of methods for performing evaluations of knowledge-based systems during their development. Its focus is on the users' and subject matter experts' evaluation of the usefulness of the system, and not on the developers' testing of the adequacy of the programming code. The handbook permits evaluators to systematically answer the following kinds of questions: Does the knowledge-based system meet the users' task requirements? Is the system easy to use? Is the knowledge base logically consistent? Does it meet the required level of expertise? Does the system improve performance? The authors have produced a handbook that will serve two audiences: a tool that can be used to create knowledge-based systems (practitioners, developers, and evaluators) and a framework that will stimulate more research in the area (academic researchers and students). To accomplish this, the handbook is built around a conceptual framework that integrates the different types of evaluations into the system of development process. The kinds of questions that can be answered, and the methods available for answering them, will change throughout the system development life cycle. And throughout this process, one needs to know what can be done, and what can't. It is this dichotomy that addresses needs in both the practitioner and academic research audiences.

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.

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.

Validation and Verification of Knowledge Based Systems

Author : Anca Vermesan
Publisher : Springer Science & Business Media
ISBN 13 : 1475769164
Total Pages : 363 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Validation and Verification of Knowledge Based Systems by : Anca Vermesan

Download or read book Validation and Verification of Knowledge Based Systems written by Anca Vermesan and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based (KB) technology is being applied to complex problem-solving and critical tasks in many application domains. Concerns have naturally arisen as to the dependability of knowledge-based systems (KBS). As with any software, attention to quality and safety must be paid throughout development of a KBS and rigorous verification and validation (V&V) techniques must be employed. Research in V&V of KBS has emerged as a distinct field only in the last decade and is intended to address issues associated with quality and safety aspects of KBS and to credit such applications with the same degree of dependability as conventional applications. In recent years, V&V of KBS has been the topic of annual workshops associated with the main AI conferences, such as AAAI, IJACI and ECAI. Validation and Verification of Knowledge Based Systems contains a collection of papers, dealing with all aspects of KBS V&V, presented at the Fifth European Symposium on Verification and Validation of Knowledge Based Systems and Components (EUROVAV'99 - which was held in Oslo in the summer of 1999, and was sponsored by Det Norske Veritas and the British Computer Society's Specialist Group on Expert Systems (SGES).

Maintenance of Knowledge-based Systems

Author : Frans Coenen
Publisher :
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Maintenance of Knowledge-based Systems by : Frans Coenen

Download or read book Maintenance of Knowledge-based Systems written by Frans Coenen and published by . This book was released on 1993 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practical take-up of Knowledge Based Systems (KBSs) is usually described as disappointing. One explanation of the reluctance of organisations to make a real commitment to these systems stems from the lack of well-defined techniques to engineer them in an acceptable manner. Without the assurance of quality that can be given by the use of a proven methodology, the risk of investing substantially in these systems will remain a risk too great to be taken. One of the chief manifestations of the lack of these techniques is that it is impossible to say with any assurance that it will be possible to maintain the systems so that their useful life can be extended. This book is concerned with the maintenance of KBSs, providing a balance between the academic and the practical, and containing analysis of tools developed in a research project. The intention of the book is to move from very general concerns available to all systems through to specific techniques and tools designed to address particular problems in particular representations, before concluding with some more general remarks. This book is essential reading for anyone, whether in a commercial or academic environment who wishes to build a serious Knowledge Based System that will continue to be used over a period of time. * SPECIAL FEATURES: * Building a Knowledge Based System is not the end of the story: the system must be used, and during its period of use, theknoledge on which it relies will change and develop. A Knowledge Based Ssystem that is not to become rapidly obselete must change and develop with it. * This book addresses this neglected area of maintenance, emhasising the specific maintenance tasks required by a Knowledge Based System. * The book provides a balance between the academic and the practical, and containg analysis of tools developed in a research project.

Handbook of Quantitative Science and Technology Research

Author : Henk F. Moed
Publisher : Springer Science & Business Media
ISBN 13 : 1402027559
Total Pages : 791 pages
Book Rating : 4.4/5 (2 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 2006-02-23 with total page 791 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.

Analysis for Knowledge-based Systems

Author : Frank R. Hickman
Publisher : Ellis Horwood
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Analysis for Knowledge-based Systems by : Frank R. Hickman

Download or read book Analysis for Knowledge-based Systems written by Frank R. Hickman and published by Ellis Horwood. This book was released on 1989 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Prediction and Analysis for Knowledge Representation and Machine Learning

Author : Avadhesh Kumar
Publisher : CRC Press
ISBN 13 : 100048422X
Total Pages : 216 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 216 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 includes both basic and advanced concepts.

Knowledge-based Information Systems

Author : Derek Partridge
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 480 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge-based Information Systems by : Derek Partridge

Download or read book Knowledge-based Information Systems written by Derek Partridge and published by McGraw-Hill Companies. This book was released on 1995 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Knowledge-Based Systems for Multiple Environments

Author : Ladislav J. Kohout
Publisher : Routledge
ISBN 13 : 0429761864
Total Pages : 382 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Knowledge-Based Systems for Multiple Environments by : Ladislav J. Kohout

Download or read book Knowledge-Based Systems for Multiple Environments written by Ladislav J. Kohout and published by Routledge. This book was released on 2019-01-15 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results. Systems called upon to function in a variety of widely differing cultural and natural environments can only do so satisfactorily if from the very beginning they have been designed with this versatility in mind. For the first time, the know-how for this often formidable design task has been gathered together and presented here. This study was written to an overall plan, with chapters commissioned from a group of research of quite diversified back-grounds who had deeply explored their subjects. Each topic was thus covered in close connection with the others, so as to form a coherent whole. While primarily aimed at workers in Artificial Intelligence and Expert Systems, as well as designers of other kinds of sophisticated software, the contents of the book are of wider validity, just as the multi-environmental demands are of wider incidence. Manufactures, exporters and importers of computing technology with a large knowledge component will also find their concerns addressed.