+612 9045 4394
Knowledge Acquisition : Selected Research and Commentary :  Selected Research and Commentary - Sandra Marcus

Knowledge Acquisition : Selected Research and Commentary

Selected Research and Commentary

By: Sandra Marcus (Editor)

Hardcover Published: December 2009
ISBN: 9780792390626
Number Of Pages: 152

Share This Book:


RRP $483.99
or 4 easy payments of $83.69 with Learn more
Ships in 7 to 10 business days

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.

Introduction: A Sampler in Knowledge Acquisition for the Machine Learning Community.- Can Machine Learning Offer Anything to Expert Systems?.- When Will Machines Learn?.- Supporting Start-to-Finish Development of Knowledge Bases.- The Knowledge Level Reinterpreted: Modeling How Systems Interact.- Automated Knowledge Acquisition for Strategic Knowledge.- The World Would be a Better Place if Non-Programmers Could Program.- Task-Structures, Knowledge Acquisition and Learning.- Automated Support for Building and Extending Expert Models.- Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the Art.

ISBN: 9780792390626
ISBN-10: 0792390628
Series: The Springer International Series in Engineering and Computer Science
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 152
Published: December 2009
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 1.27
Weight (kg): 0.89
Edition Number: 4