The Logician and the Engineer

Author: Paul J. Nahin
Publisher: Princeton University Press
Pages: 244
ISBN: 978-0691151007
Print: 0691151008
Kindle: B0091XBUTM
Audience: Electronics enthusiasts interested in the origins of computing
Rating:  4
Reviewer: Harry Fairhead

George Boole and Claude Shannon may be from different centuries and different countries, but they worked on the same sorts of problems. Arguably they built the foundations for modern computing.

This is not a biography, even if its title and subject matter might lead you to believe it is. Instead it is a slightly odd journey through the ideas of logic and information that underpin modern computing.

What is odd about the journey is that the route is via the original ways that Boole and Shannon thought about and realized their ideas. So instead of having logic described in terms of modern logic gates, we have a description of how relays work. If the intention is to teach the reader computing fundamentals this doesn't seem like the best approach. In fact it is difficult to know exactly what the intention of the book is, apart from to describe some of what Boole and Shannon did.

 

 

The book opens with a chapter that outlines what you need to know to read the book. This is completely misleading and probably unnecessarily off putting. It seems to suggest that you don't need to be an electronics genius - which is true - but you do need to know about matrix multiplication and a bit of basic electricity. Next we have sort of mini test which explains that you can implement an upward convex function of shaft angle using potentiometers. Yes the term "upward convex" is introduced on page 2 and this is about as off putting to the beginner as it possibly could be. The example is subtle and first proved by Shannon. It really isn't the sort of thing a reader known only a little electricity should be expected to tackle and my guess is most wont. This is a shame because it is almost the toughest topic in the entire book!

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Chapter 2 gives an outline of Boole's approach to logic which isn't quite what we use today. Boole thought in terms that were appropriate for the time - he tried to introduce a logic that was like arithmetic but based on set theory. This probably isn't a good way to learn about logic but it is an interesting way of thinking about things.

The next chapter is a potted biography of Boole and Shannon. This is probably the only chapter that will be of interest to the general reader and it is a shame it is in the middle of material that would put them off from progressing this far, or any further, into the book.

Chapter 4 continues the description of logic as thought of by Boole, and this throws in extracts that a reader even with basic algebra would find difficult to read let alone understand e.g.

x(y(U))=y(x(U))

If you stick with it then you do eventually get to the usual logical calculus, but again the pages are littered with lots of equations. This is quite deep stuff and even gets to mention Karnaugh and explain his maps and how they are used to simplify logical expressions.

Chapter 5 moves into a completely different area - relay logic. This explains how relays work and how they can be used to build logic gates. The works its way up from basic gates to bi-stable latches i.e. memory circuits. 

Next we have a look at probability - a subject both Boole and Shannon used. The most important of Shannon's achievements in using probability to create information theory is more or less sidelined to take a closer look at how probability works, how it is like logic and how to work with it.

The theme continues in the following chapter were we do get to meet some of Shannon's greatest results - the channel capacity theorem - but without really having the ideas of information theory explained in any great detail. It you already know about information theory this is interesting if not you will wonder what it is all about.The book really treats Shannon as a designer of old fashioned computing hardware rather than as the father of information theory.

From here we move into the area of sequential logic and deep into engineering. Chapter 9 is about Turing machines - and I'm not at all clear why. Shannon might have been interested in AI, but Turing machines don't really have anything to do with any sort of practical computation. Even so they are explained in great detail with state diagrams and we even get to the universal Turing machine, but without really doing justice to its contribution to mathematical logic. The final chapter considers computation beyond Boole and Shannon - quantum computers, reversibility and so one. All topics that arguably could be in a general book on computers, but not really relevant to Boole or Shannon or the subjects they helped to create.

 

 

Overall this isn't a particularly well organized book and it isn't aimed at the beginner. To get anything out of it you probably have to be an electronics enthusiast with an interest in computing and where the ideas came from. Having said this I enjoyed it but then I fit the description of the ideal reader. In my opinion this book is going to disappoint a lot of readers expecting a biography and a lot fo readers expecting a light general treatment of logic and information theory.

If you are the, I suspect, rare reader who the book is ideal for then you will enjoy it otherwise you are simply going to wonder what it is all about. 

Related 

Claude Shannon - Information Theory And More 

Information Theory

The Greeks, George Boole and Prolog

Introduction to Boolean Logic

Celebrate the 200th Birthday of George Boole With Logic

 

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Visual Complex Analysis

Author:  Tristan Needham
Publisher: Clarendon Press
Pages: 616
ISBN: 978-0198534464
Print: 0198534469
Kindle: B0BNKJTJK1
Audience: The mathematically able and enthusiastic
Rating: 5
Reviewer: Mike James
What's complex about complex analysis?



Reliable Source: Lessons from a Life in Software Engineering

Author: James Bonang
Date: January 2022
Pages: 608
Kindle: B09QCBVJ9V
Audience: General interest
Rating: 5
Reviewer: Kay Ewbank

This book combines a fun read with interesting insights into how to write reliable programs.


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Last Updated ( Friday, 03 November 2017 )