Connections / Wiley - IEEE Bd.1 (PDF)
Patterns of Discovery
(Sprache: Englisch)
"In their fascinating analysis of the recent history of information
technology, H. Peter Alesso and Craig F. Smith reveal the patterns
in discovery and innovation that have brought us to the present
tipping point. . . .
A generation from now, every...
technology, H. Peter Alesso and Craig F. Smith reveal the patterns
in discovery and innovation that have brought us to the present
tipping point. . . .
A generation from now, every...
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"In their fascinating analysis of the recent history of information
technology, H. Peter Alesso and Craig F. Smith reveal the patterns
in discovery and innovation that have brought us to the present
tipping point. . . .
A generation from now, every individual will have personally
tailored access to the whole of knowledge . . . the sooner we all
begin to think about how we got here, and where we're going, the
better. This exciting book is an essential
first step."
--From the Foreword by James Burke
Many people envision scientists as dispassionate characters who
slavishly repeat experiments until "eureka"--something
unexpected happens. Actually, there is a great deal more to the
story of scientific discovery, but seeing "the big picture" is not
easy. Connections: Patterns of Discovery uses the primary tools of
forecasting and three archetypal patterns of
discovery--Serendipity, Proof of Principle, and 1% Inspiration
and 99% Perspiration--to discern relationships of past
developments and synthesize a cohesive and compelling vision for
the future. It challenges readers to think of the consequences of
extrapolating trends, such as Moore's Law, to either reach real
machine intelligence or retrench in the face of physical
limitations. From this perspective,the book draws "the big picture"
for the Information Revolution's innovations in chips, devices,
software, and networks.
With a Foreword by James Burke and bursting with fascinating
detail throughout, Connections: Patterns of Discovery is a
must-read for computer scientists, technologists, programmers,
hardware and software developers, students, and anyone with an
interest in tech-savvy topics.
technology, H. Peter Alesso and Craig F. Smith reveal the patterns
in discovery and innovation that have brought us to the present
tipping point. . . .
A generation from now, every individual will have personally
tailored access to the whole of knowledge . . . the sooner we all
begin to think about how we got here, and where we're going, the
better. This exciting book is an essential
first step."
--From the Foreword by James Burke
Many people envision scientists as dispassionate characters who
slavishly repeat experiments until "eureka"--something
unexpected happens. Actually, there is a great deal more to the
story of scientific discovery, but seeing "the big picture" is not
easy. Connections: Patterns of Discovery uses the primary tools of
forecasting and three archetypal patterns of
discovery--Serendipity, Proof of Principle, and 1% Inspiration
and 99% Perspiration--to discern relationships of past
developments and synthesize a cohesive and compelling vision for
the future. It challenges readers to think of the consequences of
extrapolating trends, such as Moore's Law, to either reach real
machine intelligence or retrench in the face of physical
limitations. From this perspective,the book draws "the big picture"
for the Information Revolution's innovations in chips, devices,
software, and networks.
With a Foreword by James Burke and bursting with fascinating
detail throughout, Connections: Patterns of Discovery is a
must-read for computer scientists, technologists, programmers,
hardware and software developers, students, and anyone with an
interest in tech-savvy topics.
Inhaltsverzeichnis zu „Connections / Wiley - IEEE Bd.1 (PDF)“
Foreword. Introduction. Acknowledgements. Organization of this Book. Chapter 1: Connecting Information. The Google Story. Information Revolution. Defining Information. Looking Good. Google Connects Information. Patterns of Discovery. Forecast for Connecting Information. Chapter 2: Connecting Circuits. The Moore' Law Story. Edison's Electric Light. The Vacuum Tube Diode. The First Programmable Computers. ENIAC. The Transistor. How Transistors Work. The Proof of Principle for the Transistor. The Microprocessor. How Microprocessors Work. Moore's law. Patterns of Discovery. Forecast for Connecting Circuits . Chapter 3: Connecting Chips. The Personal Computer Story. Vannevar Bush. Robert Taylor. J.C.R. Licklider. Alan Kay. Butler Lampson. Charles (Chuck) Thacker. Personal Computing. The Xerox Alto. Apple Computer. IBM PC. Patterns of Discovery. Forecast for Connecting Chips. Chapter 4: Connecting Processes. The Software Story. John Von Neumann. Claude Shannon. The Evolution of Programming Languages. Sir Charles Antony Richard (Tony) Hoare. Software as an Industry. Software Productivity. Fourth Generation Languages. Proprietary versus Open Standards. Emergent Fifth Generation Languages (5GLs). Charles Simonyi. William H. Gates. Linus Torvalds. Patterns of Discovery. Forecast for Connecting Processes. Chapter 5: Connecting Machines. The Ethernet Story. Xerox PARC and Ethernet. Robert Metcalf. Patterns of Discovery. Forecast for Connecting Machines. Chapter 6: Connecting Networks. The Internet Story. Vint Cerf. Transition to the World Wide Web. Berners-Lee. Patterns of Discovery. Forecast for Connecting Machines. Chapter 7: Connecting Devices. The Ubiquitous Computing Story. Ubiquitous Computing. Mark Weiser. Jeff Hawkins. Patterns of Discovery. Forecast for Connecting Devices. Chapter 8: Connecting the Web. The Ubiquitous Web Story. Michael Dertouzos. Project Oxygen. Perfect Search. Berners-Lee and the Semantic Web. Patterns of Discovery. Forecast for Connecting the Web.
... mehr
Chapter 9: Connecting the Intelligence. The Ubiquitous Intelligence Story. Kurt Gödel. Alan Turing. Marvin Minsky. Ubiquitous Intelligence . The Web 'Brain'. What is Web Intelligence? Patterns of Discovery. Forecast for Connecting Intelligence. Chapter 10: Connecting Patterns. Ray Kurzweil. Evolving Complex Intelligence. The Law of Accelerating Returns. Singularities. The Software of Intelligence. Patterns. Connecting Pattern. Patterns of Discovery. Forecasts for Connecting Patterns. Epilog. Bibliography. Glossary. Index.
... weniger
Autoren-Porträt von H. Peter Alesso, Craig F. Smith
H. Peter Alesso is an innovator with twenty years of researchexperience at LawrenceLivermore National Laboratory (LLNL). As
Engineering Group Leader at LLNL, he has leda team of computer
scientists and engineers in a wide range of successful software and
hardware research projects. He has published several software
titles, numerous scientific journaland conference articles, and
four books.
Craig F. Smith, PhD, is a Fellow of the American Association for
the Advancement ofScience and is the Lawrence Livermore Chair
Professor at the Naval Postgraduate School in Monterey, California.
His areas of interest include sensors, robotics, and automated
systems; information technology applications; and future energy
systems. Dr. Smith has coauthoredthree books and has published
numerous scientific journal and conference articles on advanced
engineering topics.
Bibliographische Angaben
- Autoren: H. Peter Alesso , Craig F. Smith
- 2008, 1. Auflage, 224 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 047019152X
- ISBN-13: 9780470191521
- Erscheinungsdatum: 12.07.2008
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