Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension (The Springer International Series in Engineering and Computer Science)

Bookman, Lawrence A.

ISBN 10: 0792394879 / ISBN 13: 9780792394877

Published by Springer, 1994

About this Item

Like New.

Seller Inventory # ERICA77307923948796

Bibliographic Details

• Title: Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension (The Springer International Series in Engineering and Computer Science)
• Publisher: Springer
• Publication Date: 1994
• Language: English
• ISBN 10: 0792394879
• ISBN 13: 9780792394877
• Binding: Hardcover
• Condition: Like New
• Book Type: book

About this title

Synopsis

As any history student will tell you, all events must be understood within their political and sociological context. Yet science provides an interesting counterpoint to this idea, since scientific ideas stand on their own merit, and require no reference to the time and place of their conception beyond perhaps a simple citation. Even so, the historical context of a scientific discovery casts a special light on that discovery - a light that motivates the work and explains its significance against a backdrop of related ideas. The book that you hold in your hands is unusually adept at presenting technical ideas in the context of their time. On one level, Larry Bookman has produced a manuscript to satisfy the requirements of a PhD program. If that was all he did, my preface would praise the originality of his ideas and attempt to summarize their significance. But this book is much more than an accomplished disser­ tation about some aspect of natural language - it is also a skillfully crafted tour through a vast body of computational, linguistic, neurophysiological, and psychological research.

Synopsis

"Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension" provides an overview of many of the main ideas of connectionism (neural networks) and probabilistic natural language processing. Several areas of common overlap between these fields are described in which each community can benefit from the ideas and techniques of the other. The author's perspective on comprehension pulls together the most significant research of the last ten years and illustrates how we can move forward onto the next level of intelligent text-processing systems. A central focus of the book is the development of a framework for comprehension connecting research themes from cognitive psychology, cognitive science, corpus linguistics and artificial intelligence. The book proposes a new architecture for semantic memory, providing a framework for addressing the problem of how to represent background knowledge in a machine. This architectural framework supports a computational model of comprehension.

"Trajectories through Knowledge Space: A Dynamic Framework for Machine Comprehension" should be a useful reference for researchers and professionals, and may be used as an advanced text for courses on the topic.