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Design and Development of Knowledge-Based Systems

Design and Development of Knowledge-Based Systems
Author: Giovanni Guida
Publisher:
Total Pages: 550
Release: 1994-07-12
Genre: Computers
ISBN:

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This book focuses on how to develop large-scale Knowledge-Based Systems within budget and on time. The authors teach step-by-step techniques through the knowledge-based system life cycle from the initial development to maintenance of the system.


Intelligent Knowledge-Based Systems

Intelligent Knowledge-Based Systems
Author: Cornelius T. Leondes
Publisher: Springer Science & Business Media
Total Pages: 2041
Release: 2010-04-28
Genre: Computers
ISBN: 1402078293

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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.


The Engineering of Knowledge-based Systems

The Engineering of Knowledge-based Systems
Author: Avelino J. González
Publisher:
Total Pages: 554
Release: 1993
Genre: Computers
ISBN:

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This volume provides comprehensive single-volume coverage of both the theory and the applications of knowledge-based systems.


Handbook for Evaluating Knowledge-Based Systems

Handbook for Evaluating Knowledge-Based Systems
Author: Leonard Adelman
Publisher: Springer Science & Business Media
Total Pages: 402
Release: 2012-12-06
Genre: Computers
ISBN: 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.


Development of Knowledge-Based Systems for Engineering

Development of Knowledge-Based Systems for Engineering
Author: Carlo Tasso
Publisher: Springer
Total Pages: 241
Release: 2014-05-04
Genre: Technology & Engineering
ISBN: 370912784X

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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.


Practical Knowledge-Based Systems in Conceptual Design

Practical Knowledge-Based Systems in Conceptual Design
Author: John C. Miles
Publisher: Springer Science & Business Media
Total Pages: 254
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1447120426

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Conceptual Design is one of the few areas of Engineering Design where computers have yet to make an impact. With the development of Knowledge Based Systems it is now possible to rectify this situation. This publication deals with the use of Knowledge Based Systems (KBS) as tools for conceptual design. Included are neglected aspects such as evaluation and user needs. Practical Knowledge Based Systems in Conceptual Design is based on the authors' experience of developing KBS for use in civil engineering, an area of industrial application which is recognised as being one of great potential. The methodology has been tried and tested by designers. Examples of systems which have been developed to solve specific design problems are included.


Knowledge-based Systems Analysis and Design

Knowledge-based Systems Analysis and Design
Author: D. S. W. Tansley
Publisher:
Total Pages: 552
Release: 1993
Genre: Computers
ISBN:

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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.


Introduction to Knowledge Systems

Introduction to Knowledge Systems
Author: Mark Stefik
Publisher: Elsevier
Total Pages: 891
Release: 2014-06-28
Genre: Computers
ISBN: 0080509169

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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.