Description: Trajectories through Knowledge Space Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). A Dynamic Framework for Machine Comprehension Author(s): Lawrence A. Bookman Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461362012, 978-1461362012 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.
Price: 142.59 GBP
Location: Aldershot
End Time: 2025-02-05T09:08:34.000Z
Shipping Cost: 41.44 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 60 days
Return policy details:
Book Title: Trajectories through Knowledge Space
Number of Pages: 271 Pages
Publication Name: Trajectories Through Knowledge Space: a Dynamic Framework for Machine Comprehension
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2012
Type: Textbook
Item Weight: 456 g
Author: Lawrence A. Bookman
Item Width: 155 mm
Series: The Springer International Series in Engineering and Computer Science
Format: Paperback
