Skip to main content

The Art of Logic - Eugenia Cheng ***

This is an important book, though I'm not sure Eugenia Cheng would agree with my logic in saying so. 

Going on the marketing, what we have here is a counter to fake news and dodgy argumentation in the form of mathematical logic. The back cover tells us 'Newspaper headlines and social media use emotions to warp the facts. Politicians and companies master rhetoric to mislead us. What one book could help us make sense of it all?' Admittedly they don't answer their rhetorical question, but I assume the answer is intended to be The Art of Logic. (Did the company behind this book realise it was using rhetoric, though presumably not to mislead us?) 

What we actually have is a combination of a lucid and interesting explanation of the basics of logic with the mathematical equivalent of those books such as Algorithms to Live By that were so popular a couple of years ago. They used the logic of algorithms (differently worded, and, to me, easier to understand), the heart of computer programs, to look at everyday problems. Here, Cheng is using the purer mathematical form of logic to the same end.

Cheng does a good job at explaining logic from a mathematical viewpoint and gives a useful brief dip into her own field of category theory. Her illustrations of concepts like the lost middle are effective, and though it sometimes feels points are being laboured, this can be an alien area to many, and a slow and steady approach is undoubtedly best.

There were a few small content issues. We are told that scientists pick their confidence limits based on the seriousness of the situation - but this seems at odds with the way that physicists use vastly higher confidence limits when dealing with the fascinating, but hardly life-changing Higgs boson than psychologists do when trying to understand and improve human behaviour. There's quite a lot in the book about blame, some of which doesn't sit well with the meaning of the word. We are told that both dropping a glass and a hard floor are 'to blame' for a glass breaking. But where both are causal, blame can't be ascribed to a passive object. And there's a total misunderstanding of the origins of airline overbooking. However, these are small points - overall, the book is engaging and effective in putting across its message.

So far, so good. The problem - and the reason I think this is an important book - comes in two ways when Cheng attempts to apply logic to everyday life. Mathematics works by starting with axioms and building up a logical structure piece by piece. As Cheng says, this is part of its wonderful appeal if you can get past the fear of maths. But what is not emphasised enough is how axioms can cause difficulties. Mathematical axioms seem extremely straightforward statements such as 'A straight line segment can be drawn joining any two points,' or 'two sets are equal if and only if they have the same elements.' But Cheng's axioms are all about what she feels is right. I'm not saying I disagree with her ethics, but rather that value judgements are a poor basis for logical axioms.

The other aspect of the problem is that, as Cheng examines, in applying logic you can select different levels of abstraction from, say, the experience of an individual person up to all people. In her examples, she makes the choice of which level to render that abstraction: yet that choice itself has a major influence on the outcome that isn't recognised in her logical structure. As a mathematician, she should know from the history of set theory that when choice enters the game, even mathematics has problems.

By ignoring these two issues, Cheng gets to a position where, for example, she is prepared to argue that justice should not be blind, but rather the scales of justice should be weighted in favour of those she decides are disadvantaged (as opposed to privileged). Unfortunately, history shows that when society decides to weight justice to favour a particular viewpoint - however apparently worthy - that society is on the road to totalitarianism. 

Of course, there is no suggestion that this is Cheng's intention. But this brings me back to back to why I think this book is important. Unlike the algorithms books, which generally concentrate on trying to use logic to deal with everyday practical tasks, Cheng applies logic to societal structures and relationships. In doing so, she demonstrates why taking a mathematical logic approach to life is not only impractical, but quite possibly dangerous.

Hardback:  

Kindle:  
Using these links earns us commission at no cost to you


Review by Brian Clegg

Comments

Popular posts from this blog

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...

Nanotechnology - Rahul Rao ****

There was a time when nanotechnology was both going to transform the world and wipe us out - a similar position to our view of AI today. On the positive transformation side there was K. Eric Drexler's visions in the 1986 Engines of Creation. Arguably as much science fiction as engineering possibilities, it predicted the ability to use vast armies of assemblers to put objects together from individual atoms.  On the negative side was the vision of grey goo, out of control nanotechnology consuming all in its path as it made more and more copies of itself. In 2003, for instance, the then Prince Charles made the headlines  when newspapers reported ‘The prince has raised the spectre of the “grey goo” catastrophe in which sub-microscopic machines designed to share intelligence and replicate themselves take over and devour the planet.’ These days the expectations have been eased down a notch or two. Where nanotechnology has succeeded, it has been with the likes of atom-thick mat...