Methodology And Tools In Knowledge Based Systems

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Methodology and Tools in Knowledge-Based Systems

Author : Angel P. del Pobil,Jose Mira,Ali Moonis
Publisher : Springer
Page : 911 pages
File Size : 46,9 Mb
Release : 2006-04-11
Category : Computers
ISBN : 9783540693482

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Methodology and Tools in Knowledge-Based Systems by Angel P. del Pobil,Jose Mira,Ali Moonis Pdf

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..

Maintenance of Knowledge-based Systems

Author : Frans Coenen,Trevor J. M. Bench-Capon
Publisher : Unknown
Page : 360 pages
File Size : 52,5 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015029477901

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Maintenance of Knowledge-based Systems by Frans Coenen,Trevor J. M. Bench-Capon Pdf

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.

Intelligent Knowledge-Based Systems

Author : Cornelius T. Leondes
Publisher : Springer Science & Business Media
Page : 2041 pages
File Size : 55,7 Mb
Release : 2010-04-28
Category : Computers
ISBN : 9781402078293

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Intelligent Knowledge-Based Systems by Cornelius T. Leondes Pdf

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.

Validation and Verification of Knowledge Based Systems

Author : Anca Vermesan,Frans Coenen
Publisher : Springer Science & Business Media
Page : 363 pages
File Size : 44,8 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9781475769166

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Validation and Verification of Knowledge Based Systems by Anca Vermesan,Frans Coenen Pdf

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).

Knowledge Based Systems

Author : S. G. Tzafestas
Publisher : World Scientific
Page : 656 pages
File Size : 47,9 Mb
Release : 1997
Category : Computers
ISBN : 9810228309

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Knowledge Based Systems by S. G. Tzafestas Pdf

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.

Knowledge Engineering Tools and Techniques for AI Planning

Author : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 49,7 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9783030385613

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Knowledge Engineering Tools and Techniques for AI Planning by Mauro Vallati,Diane Kitchin Pdf

This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.

Knowledge-Based Systems

Author : Rajendra Akerkar,Priti Sajja
Publisher : Jones & Bartlett Learning
Page : 375 pages
File Size : 49,6 Mb
Release : 2010-08-30
Category : Computers
ISBN : 9780763776473

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Knowledge-Based Systems by Rajendra Akerkar,Priti Sajja Pdf

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 in Law:In Search of Methodologies and Tools

Author : Albert Koers
Publisher : Springer
Page : 216 pages
File Size : 42,7 Mb
Release : 1989
Category : Computers
ISBN : STANFORD:36105044181837

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Knowledge Based Systems in Law:In Search of Methodologies and Tools by Albert Koers Pdf

This book is concerned with research on knowledge based systems in law from the perspective of law and lawyers, i. e. computer programs in which legal knowledge is represented in such a way that, in an interaction with the user, a legally valid conclusion is generated for a specific legal problem or question. The main purpose of this book is to contribute to academic dialogue by outlining a methodology and the related tools for the development of knowledge based systems as defined above.

Knowledge-Based Systems, Four-Volume Set

Author : Cornelius T. Leondes
Publisher : Elsevier
Page : 1449 pages
File Size : 48,6 Mb
Release : 2000-07-11
Category : Computers
ISBN : 9780080535289

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Knowledge-Based Systems, Four-Volume Set by Cornelius T. Leondes Pdf

The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

Knowledge-Based Systems for Multiple Environments

Author : Ladislav J. Kohout,John Anderson,Wyllis Bandler
Publisher : Routledge
Page : 382 pages
File Size : 49,8 Mb
Release : 2019-01-15
Category : Social Science
ISBN : 9780429761867

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Knowledge-Based Systems for Multiple Environments by Ladislav J. Kohout,John Anderson,Wyllis Bandler Pdf

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.

Current Trends on Knowledge-Based Systems

Author : Giner Alor-Hernández,Rafael Valencia-García
Publisher : Springer
Page : 290 pages
File Size : 53,5 Mb
Release : 2017-03-13
Category : Technology & Engineering
ISBN : 9783319519050

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Current Trends on Knowledge-Based Systems by Giner Alor-Hernández,Rafael Valencia-García Pdf

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.

Knowledge Integration Methods for Probabilistic Knowledge-based Systems

Author : Van Tham Nguyen,Ngoc Thanh Nguyen,Trong Hieu Tran
Publisher : CRC Press
Page : 203 pages
File Size : 45,7 Mb
Release : 2022-12-30
Category : Business & Economics
ISBN : 9781000809961

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Knowledge Integration Methods for Probabilistic Knowledge-based Systems by Van Tham Nguyen,Ngoc Thanh Nguyen,Trong Hieu Tran Pdf

Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.

Handbook for Evaluating Knowledge-Based Systems

Author : Leonard Adelman,Sharon L. Riedel
Publisher : Springer Science & Business Media
Page : 402 pages
File Size : 53,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461561712

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Handbook for Evaluating Knowledge-Based Systems by Leonard Adelman,Sharon L. Riedel Pdf

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.