Connections: Patterns of Discovery / Edition 1

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Overview

"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.

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Product Details

Meet the Author

H. Peter Alesso is an innovator with twenty years of research experience 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.

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Table of Contents

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.

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.

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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted November 4, 2013

    Intelligent presentation of Information Technology 

    Intelligent presentation of Information Technology 

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  • Anonymous

    Posted February 14, 2008

    a framework for forecasting technolgy trends

    Connection: Patterns of Discovery is an extension of the Connections TV-Series created and narrated by science historian James Burke. Burke wrote the Foreword for this book. This book is a fine extension to the themes in that popular TV-Series. In a few hours of easy reading and some time to contemplate the ideas, the reader will be introduced to the history of computers, information technology, and the Internet. The book presents an overall view of the Information Age's innovations from vacuum tubes to transistors, computer devices, software, networking, and current artificial intelligence. The discussions of past developments in information technology are applied to a framework for patterns of discovery which leads to extrapolations of future trends, such as the Perfect Search, information availability for everyone, and ubiquitous real machine intelligence. Forecasts are extrapolated for the next twenty years for each of the key technology areas such as computers, software, devices, and networks. In addition to providing a framework for extrapolating trends, the patterns of discovery make interesting reading. These are human stories. One learns how technology is developed and in many instances it serves as an example of how obstacles are overcome so that one should follow their dreams. Some of our best innovators left college early. The book includes a good Bibliography and Glossary. The glossary provides a good bridge for those interested in the history of computer technology but not well versed in traditional and necessary 'Geek' speak. Some necessary technical details are provided but in general the book is easy reading as it provides the 'Big Picture' of innovation.

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