Methodology and Tools in Knowledge-Based Systems
Methodology and Tools in Knowledge-Based Systems

Author: Angel P. del Pobil

Publisher: Springer

Published: 2006-04-11

Total Pages: 911

ISBN-13: 3540693483

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This two-volume set constitutes the refereed proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The two volumes present a total of 187 revised full papers selected from 291 submissions. In accordance with the conference, the books are devoted to new methodologies, knowledge modeling and hybrid techniques. The papers explore applications from virtually all subareas of AI including knowledge-based systems, fuzzyness and uncertainty, formal reasoning, neural information processing, multiagent systems, perception, robotics, natural language processing, machine learning, supervision and control systems, etc..

Validation and Verification of Knowledge Based Systems
Validation and Verification of Knowledge Based Systems

Author: Anca Vermesan

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 363

ISBN-13: 1475769164

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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).

Current Trends on Knowledge-Based Systems
Current Trends on Knowledge-Based Systems

Author: Giner Alor-Hernández

Publisher: Springer

Published: 2017-03-13

Total Pages: 302

ISBN-13: 3319519050

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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.

Maintenance of Knowledge-based Systems
Maintenance of Knowledge-based Systems

Author: Frans Coenen

Publisher:

Published: 1993

Total Pages: 360

ISBN-13:

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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 for Evaluating Knowledge-Based Systems
Handbook for Evaluating Knowledge-Based Systems

Author: Leonard Adelman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 402

ISBN-13: 146156171X

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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 Systems
Knowledge Based Systems

Author: S. G. Tzafestas

Publisher: World Scientific

Published: 1997

Total Pages: 656

ISBN-13: 9789810228309

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The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under uncertainty, conflict detection and resolution, structured knowledge architectures, and natural language-based man-machine communication.The Applications include: Real-time decision support, system fault diagnosis, quality assessment, manufacturing production, robotic assembly, and robotic welding.The reader can save considerable time in searching the scattered literature in the field, and can find here a powerful set of how-to-do issues and results.

Machine Learning: Concepts, Methodologies, Tools and Applications
Machine Learning: Concepts, Methodologies, Tools and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2011-07-31

Total Pages: 2174

ISBN-13: 1609608194

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"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Knowledge-based Systems
Knowledge-based Systems

Author: Oscar N. Garcia

Publisher:

Published: 1991

Total Pages: 516

ISBN-13:

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This tutorial text, a collection of selected papers preceded by extensive introductory material, is intended particularly for practicing computer engineers and scientists, as well as for advanced undergraduate or graduate students who want to refine their conceptual and practical appreciation of the fundamentals and tools of knowledge-based systems. The goal in choosing the 35 papers reviewed, which covers a publication span of nine years, is to both bring forth the recent and rapid evolution of the field, and give a brief and up-to-date account of where we stand today. This tutorial-integrated presentation selects papers that present fundamentals and tools, and provide copious references to other work in applications and research. The aim is to put into perspective the range of what is possible, and to avoid common pitfalls in the definition, development, management, and use of knowledge-based systems.