Foundations of Knowledge Acquisition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Knowledge Acquisition write by Alan L. Meyrowitz. This book was released on 2007-08-19. Foundations of Knowledge Acquisition available in PDF, EPUB and Kindle. One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.
Foundations of Knowledge Acquisition
Foundations of Knowledge Acquisition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Knowledge Acquisition write by Susan Chipman. This book was released on 2012-12-06. Foundations of Knowledge Acquisition available in PDF, EPUB and Kindle. One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact ofsuccessful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain aboutthe methods by which machines and humans might learn, significant progress has been made.
The Foundations of Knowledge Acquisition
The Foundations of Knowledge Acquisition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Foundations of Knowledge Acquisition write by Brian R. Gaines. This book was released on 1990. The Foundations of Knowledge Acquisition available in PDF, EPUB and Kindle. This book presents a broad view of the fundamental issues involved in knowledge acquisition and their place in knowledge-based systems development. The book covers theory based methods and problem modeling approaches to provide a strong theoretical and methodological basis for practical and effective knowledge acquisition techniques.
Foundations of Knowledge Acquisition
Foundations of Knowledge Acquisition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Knowledge Acquisition write by Susan F. Chipman. This book was released on 1993. Foundations of Knowledge Acquisition available in PDF, EPUB and Kindle.
Knowledge Acquisition: Selected Research and Commentary
Knowledge Acquisition: Selected Research and Commentary - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Acquisition: Selected Research and Commentary write by Sandra Marcus. This book was released on 2012-12-06. Knowledge Acquisition: Selected Research and Commentary available in PDF, EPUB and Kindle. 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.
