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Methodology and Tools in Knowledge-Based Systems

Methodology and Tools in Knowledge-Based Systems PDF Author: Angel P. del Pobil
Publisher: Springer
ISBN: 3540693483
Category : Computers
Languages : en
Pages : 911

Book Description
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..

Methodology and Tools in Knowledge-Based Systems

Methodology and Tools in Knowledge-Based Systems PDF Author: Angel P. del Pobil
Publisher: Springer
ISBN: 3540693483
Category : Computers
Languages : en
Pages : 911

Book Description
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 PDF Author: Anca Vermesan
Publisher: Springer Science & Business Media
ISBN: 1475769164
Category : Computers
Languages : en
Pages : 363

Book Description
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 PDF Author: Giner Alor-Hernández
Publisher: Springer
ISBN: 3319519050
Category : Technology & Engineering
Languages : en
Pages : 302

Book Description
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 PDF Author: Frans Coenen
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 360

Book Description
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.

Knowledge Based Systems

Knowledge Based Systems PDF Author: S. G. Tzafestas
Publisher: World Scientific
ISBN: 9789810228309
Category : Computers
Languages : en
Pages : 656

Book Description
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.

Methodology and tools in knowledge-based systems

Methodology and tools in knowledge-based systems PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages :

Book Description


Handbook for Evaluating Knowledge-Based Systems

Handbook for Evaluating Knowledge-Based Systems PDF Author: Leonard Adelman
Publisher: Springer Science & Business Media
ISBN: 146156171X
Category : Computers
Languages : en
Pages : 402

Book Description
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.

Machine Learning: Concepts, Methodologies, Tools and Applications

Machine Learning: Concepts, Methodologies, Tools and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1609608194
Category : Computers
Languages : en
Pages : 2174

Book Description
"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 PDF Author: Rajendra Akerkar
Publisher: Jones & Bartlett Learning
ISBN: 0763776475
Category : Computers
Languages : en
Pages : 375

Book Description
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

Knowledge-Based Systems PDF Author: Rajendra Akerkar
Publisher: Jones & Bartlett Publishers
ISBN: 1449662706
Category : Computers
Languages : en
Pages : 375

Book Description
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.