Knowledge Acquisition for Knowledge based Systems

Knowledge Acquisition for Knowledge based Systems

Author: France) European Knowledge Acquisition Workshop (7th : 1993 : Toulouse and Caylus

Publisher: Springer Verlag

ISBN: UOM:39015029085530

Category: Computers

Page: 472

View: 409

Categories: Computers

Knowledge Based Systems

Knowledge Based Systems

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.

Author: S. G. Tzafestas

Publisher: World Scientific

ISBN: 9810228309

Category: Computers

Page: 618

View: 605

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.
Categories: Computers

Knowledge Acquisition Selected Research and Commentary

Knowledge Acquisition  Selected Research and Commentary

A knowledge acquisition program for expert systems based on personal construct psychology. International Journal of Man-Machine Studies, 23, 495–525. Boose, J.H. 1986a. Expertise Transfer for Expert System Design, New York: Elsevier.

Author: Sandra Marcus

Publisher: Springer Science & Business Media

ISBN: 9781461315315

Category: Computers

Page: 152

View: 528

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.
Categories: Computers

Current Trends in Knowledge Acquisition

Current Trends in Knowledge Acquisition

The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers.

Author: Bob Wielinga

Publisher: IOS Press

ISBN: 9051990367

Category: Computers

Page: 375

View: 570

Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.
Categories: Computers

Proceedings of the 6th Banff Knowledge Acquisitions for Knowledge Based Systems Workshop Banff Conference Center Banff Alberta Canada October 6 11 1991 in Cooperation with the American Association for Artificial Intelligence

Proceedings of the 6th Banff Knowledge Acquisitions for Knowledge Based Systems Workshop  Banff Conference Center  Banff  Alberta  Canada  October 6 11 1991   in Cooperation with the American Association for Artificial Intelligence

While the same information in an expert system can also be organized either around the noun " professor ” or “ course . " A systematic treatment of these knowledge representation gaps has yet to be formalized .

Author:

Publisher:

ISBN: STANFORD:36105000377668

Category: Knowledge acquisition (Expert systems)

Page:

View: 265

Categories: Knowledge acquisition (Expert systems)

A Future for Knowledge Acquisition

A Future for Knowledge Acquisition

In Proceedings of the 6th European Knowledge Acquisition for Knowledge - Based Systems Workshop ( EKAW - 92 ) , May 18-22 , Heidelberg / Kaiserslautern , 1992 , T. Wetter et al . ( eds . ) , Current Developments in Knowledge Acquisition ...

Author: Luc Steels

Publisher: Springer Science & Business Media

ISBN: 3540584870

Category: Computers

Page: 413

View: 254

In the last few years rapid advances have been made in reproductive medicine, making it necessary for those involved to regularly update their knowledge. The purpose of this book is to describe the state of the art in this field, making it possible for the reader to gain an orientation among all the diagnostic and therapeutic potentials of modern reproductive medicine in order to advise patients fully. Chapters from the fields of gynecology, and reproductive medicine in a specific sense provide knowledge about these subjects. Authors of international standing have contributed chapters on their specialties. These chapters together form a book describing the state of the art in the diagnosis and therapy of sterility in gynecology and andrology.
Categories: Computers

Knowledge Acquisition and Machine Learning

Knowledge Acquisition and Machine Learning

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully.

Author: Katharina Morik

Publisher: Academic Press

ISBN: UOM:39015033089098

Category: Computers

Page: 344

View: 305

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade, which illustrate a particular way of unifying knowledge acquisition and machine learning. Practically-orientated, theoretical skills have been used and tested in real-world applications. Integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge based systems to maintain them successfully Reports on BLIP and MOBAL systems that have been developed over the past 10 years, which illustrate a particular way of unifying knowledge acquisition and machine learning Practically oriented--theoretical results have been used and tested in real-world applications from the start
Categories: Computers

Knowledge Based Systems

Knowledge Based Systems

1.9.4 acquisition of Knowledge □□ Acquiring knowledge from one or more experts has always been a difficult, tedious, and costly process. ... In addition, no lifecycle model is available specifically to develop knowledge-based systems.

Author: Rajendra Akerkar

Publisher: Jones & Bartlett Learning

ISBN: 9780763776473

Category: Computers

Page: 351

View: 979

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.
Categories: Computers

XPS 99 Knowledge Based Systems Survey and Future Directions

XPS 99  Knowledge Based Systems   Survey and Future Directions

5th Biannual German Conference on Knowledge-Based Systems, Würzburg, Germany, March 3-5, 1999, Proceedings Frank Puppe ... eds., Knowledge Acquisition for Knowledge-based Systems, 7th European Workshop (EKAW'93), Toulouse, Lecture Notes ...

Author: Frank Puppe

Publisher: Springer

ISBN: 9783540491491

Category: Computers

Page: 236

View: 304

A special year like 1999 invites one to draw a balance of what has been achieved in the roughly 30 years of research and development in knowledge based systems (still abbreviated as XPS following the older term “expert systems”) and to take a look at th what the future may hold. For the 5 German conference on knowledge-based systems we therefore asked current and former speakers of the four working groups (FG’s) in the subdivision of knowledge-based systems (FA 1.5) of the German association of Informatics (GI) to present a survey of and future prospects for their respective fields: knowledge engineering, diagnosis, configuration, and case-based reasoning. An additional 14 technical papers deal with current topics in knowledge-based systems with an equal emphasis on methods and applications. They are selected from more than 50 papers accepted in the 4 parallel workshops of XPS-99: a) Knowledge Management, Organizational Memory and Reuse, b) various fields of applications, c) the traditional PuK Workshop (planning and configuration), and d) the GWCBR (German workshop on case-based reasoning). The other papers presented at these workshops are not included in this volume but are available as internal reports of Würzburg university together with the exhibition guide that emphasizing tool support for building knowledge based systems.
Categories: Computers