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Design Considerations For Knowledge Acquisition And Multiple Knowledge Integration In Expert Systems
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Book Synopsis Design Considerations for Knowledge Acquisition and Multiple Knowledge Integration in Expert Systems by : Joseph M. Chetupuzha
Download or read book Design Considerations for Knowledge Acquisition and Multiple Knowledge Integration in Expert Systems written by Joseph M. Chetupuzha and published by . This book was released on 1992 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Acquisition by : Karen L. McGraw
Download or read book Knowledge Acquisition written by Karen L. McGraw and published by . This book was released on 1989 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a practical view of the knowledge acquisition process, its methodologies and techniques, in order to enable readers to develop expert systems knowledge bases more effectively. It strikes a balance between presenting (1) summaries of research in the field of knowledge acquisition and (2) methodologies and techniques that have been applied and tested on numerous programs in various contexts. Written for novice knowledge engineers or others tasked with acquiring knowledge for the systematic development of expert systems. The presentation of the material does not presume a background in either computer science or artificial intelligence.
Book Synopsis Knowledge Acquisition for Expert Systems by : A. Kidd
Download or read book Knowledge Acquisition for Expert Systems written by A. Kidd and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.
Book Synopsis Automating Knowledge Acquisition for Expert Systems by : Sandra Marcus
Download or read book Automating Knowledge Acquisition for Expert Systems written by Sandra Marcus and published by Springer. This book was released on 1988-01-31 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industry. These tools include the five described in chapters 2 through 6 - MORE, MOLE, SALT, KNACK and SIZZLE. One experiment, conducted jointly by developers at Digital Equipment Corporation, the Soar research group at Carnegie Mellon, and members of our group, explored automation of knowledge acquisition and code development for XCON (also known as R1), a production-level expert system for configuring DEC computer systems. This work influenced the development of RIME, a programming methodology developed at Digital which is the subject of chapter 7. This book describes the principles that guided our work, looks in detail at the design and operation of each tool or methodology, and reports some lessons learned from the enterprise. of the work, brought out in the introductory chapter, is A common theme that much power can be gained by understanding the roles that domain knowledge plays in problem solving. Each tool can exploit such an understanding because it focuses on a well defined problem-solving method used by the expert systems it builds. Each tool chapter describes the basic problem-solving method assumed by the tool and the leverage provided by committing to the method.
Author :Arciszewski, T. (Tomasz) Publisher :Regina : Department of Computer Science, University of Regina ISBN 13 :9780773100916 Total Pages :32 pages Book Rating :4.1/5 (9 download)
Book Synopsis A Methodology of Design Knowledge Acquisition for Use in Learning Expert Systems by : Arciszewski, T. (Tomasz)
Download or read book A Methodology of Design Knowledge Acquisition for Use in Learning Expert Systems written by Arciszewski, T. (Tomasz) and published by Regina : Department of Computer Science, University of Regina. This book was released on 1986 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge-Based Systems, Four-Volume Set by : Cornelius T. Leondes
Download or read book Knowledge-Based Systems, Four-Volume Set written by Cornelius T. Leondes and published by Elsevier. This book was released on 2000-07-11 with total page 1554 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Knowledge Acquisition for Expert Systems by : A. Kidd
Download or read book Knowledge Acquisition for Expert Systems written by A. Kidd and published by . This book was released on 1987-07-01 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Acquisition for Expert Systems by : Anna Hart
Download or read book Knowledge Acquisition for Expert Systems written by Anna Hart and published by London : Kogan Page. This book was released on 1989 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence and Digital Systems Engineering by : Adedeji B. Badiru
Download or read book Artificial Intelligence and Digital Systems Engineering written by Adedeji B. Badiru and published by CRC Press. This book was released on 2021-08-12 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.
Book Synopsis Exemplar-Based Knowledge Acquisition by : Ray Bareiss
Download or read book Exemplar-Based Knowledge Acquisition written by Ray Bareiss and published by Academic Press. This book was released on 2014-05-10 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning covers the fundamental issues in cognitive science and the technology for solving real problems. This text contains six chapters and begins with a description of the rationale for the design of Protos Approach, its construction and performance. The succeeding chapters discuss how the Protos approach meets the requirements of representing concepts, using them for classification, and acquiring them from available training. These chapters also deal with the design and implementation of Protos. These topics are followed by a presentation of examples of the application of Protos to audiology and evaluate its performance. The final chapters survey related work in the areas of case-based reasoning and automated knowledge acquisition and the contributions of Protos approach. This book will be of great value to psychologists, psychiatrists, and researchers in the field of artificial intelligence.
Book Synopsis Readings in Knowledge Acquisition by : Karen L. McGraw
Download or read book Readings in Knowledge Acquisition written by Karen L. McGraw and published by . This book was released on 1990 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of AI topics divided into four main sections representing current issues. The readings stress application of knowledge acquisition research and theory, aiming to reflect the processes of acquiring and structuring knowledge of knowledge-based and expert systems.
Book Synopsis Knowledge Acquisition: Selected Research and Commentary by : Sandra Marcus
Download or read book Knowledge Acquisition: Selected Research and Commentary written by Sandra Marcus and published by Springer. This book was released on 1990-01-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.
Book Synopsis Knowledge Acquisition and Structuring by Multiple Experts in a Group Support Systems Environment by : B. L. Lewis
Download or read book Knowledge Acquisition and Structuring by Multiple Experts in a Group Support Systems Environment written by B. L. Lewis and published by . This book was released on 1995 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Systems Design by : John K. Debenham
Download or read book Knowledge Systems Design written by John K. Debenham and published by . This book was released on 1989 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the design of knowledge-based systems of prime interest to those organizations with a commitment to building up large, integrated, corporate knowledge bases. It is principally written for those who have an interest in building expert systems and deductive database systems. Debenham's method is to represent and analyze knowledge in a way that is independent of any particular expert system shell or computer language. This method extends from initial knowledge acquisition to knowledge base implementation and knowledge base maintenance. The text is illustrated with examples expressed in logic programming, a procedure adopted because it is both simple and widely understood comparative with other knowledge languages. While this book is not intended to be a complete account of expert systems or deductive databases, it will enable the knowledge-processing specialist to do a better and more systematic job.
Book Synopsis New Approaches to Knowledge Acquisition by : Ruqian Lu
Download or read book New Approaches to Knowledge Acquisition written by Ruqian Lu and published by World Scientific. This book was released on 1994 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is well recognized that knowledge acquisition is the critical bottleneck of knowledge engineering. This book presents three major approaches of current research in this field, namely the psychological approach, the artificial intelligence approach and the software engineering approach. Special attention is paid to the most recent advances in knowledge acquisition research, especially those made by Chinese computer scientists. A special chapter is devoted to its applications in other fields, e.g. language analysis, software engineering, computer-aided instruction, etc., which were done in China.
Book Synopsis Knowledge Acquisition, Modeling and Management by : Rudi Studer
Download or read book Knowledge Acquisition, Modeling and Management written by Rudi Studer and published by Springer. This book was released on 2003-06-29 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.
Book Synopsis Knowledge Engineering by : John Debenham
Download or read book Knowledge Engineering written by John Debenham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: A monograph for specialists interested in building maintainable knowledge based systems, giving a unified methodology for the design of such systems
