HAL's Legacy: 2001's Computer as Dream and Reality

ISBN 10: 0262692112 / ISBN 13: 9780262692113

Published by MIT Press, 1998

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.

Seller Inventory # OTV.0262692112.G

Bibliographic Details

• Title: HAL's Legacy: 2001's Computer as Dream and Reality
• Publisher: MIT Press
• Publication Date: 1998
• Language: English
• ISBN 10: 0262692112
• ISBN 13: 9780262692113
• Binding: Soft cover
• Condition: good

About this title

Synopsis

How science fiction's most famous computer has influenced the research and design of intelligent machines.

I became operational... in Urbana, Illinois, on January 12, 1997.

Inspired by HAL's self-proclaimed birth date, HAL's Legacy reflects upon science fiction's most famous computer and explores the relationship between science fantasy and technological fact. The informative, nontechnical chapters written especially for this book describe many of the areas of computer science critical to the design of intelligent machines, discuss whether scientists in the 1960s were accurate about the prospects for advancement in their fields, and look at how HAL has influenced scientific research.

Contributions by leading scientists look at the technologies that would be critical if we were, as Arthur Clarke and Stanley Kubrick imagined thirty years ago, to try and build HAL in 1997: supercomputers, fault-tolerance and reliability, planning, artificial intelligence, lipreading, speech recognition and synthesis, commonsense reasoning, the ability to recognize and display emotion, and human-machine interaction. A separate chapter by philosopher Daniel Dennett considers the ethical implications of intelligent machines.

About the Author

David G. Stork is Chief Scientist of the Ricoh Silicon Valley and Head of its Machine Learning and Perception Group, as well as Consulting Associate Professor of Electrical Engineering and Visiting Scholar in Psychology at Stanford University.