Skip to main content

Making Sense of Chaos - Doyne Farmer *****

This is a remarkable book, pulling together two key threads - chaos theory and economics. Doyne Farmer has a reputation as someone who breaks the mould: famously, he dropped out of studying physics at graduate level, working with a handful of others to put together a wearable computer (back in the 70s, when such a thing would have seemed pretty much impossible) to enable them to successfully beat the odds at casinos, picking up on the slight biases in roulette wheels.

Now, he presents a powerful case for applying chaos theory to economics, modelling economies in a totally different, agent-driven way rather than the traditional approach taken by economists. This combines for me the impact of two books I've read and greatly admired, but in both cases had felt that there needed to be a next step. The first of these was Chaos by James Gleick, which got me all fired up about chaos theory, but proved a bit of a let down as it was great to explain why, for example, it's difficult to predict the weather, but didn't give much of an idea of how to practically apply chaos theory. 

Then there was Economyths by David Orrell, which demonstrates powerfully why traditional economics is so inconsistent from expert to expert and non-scientific - how, after all could a true science keep giving Nobel-ish prizes to totally incompatible theories? Economists seemed to be using the methods and mathematics of science rather in the fashion of a cargo cult, and Orrell exposes this beautifully... but doesn't give too much help on how to fix things. Farmer sets out to do just that with a ground-level reform.

I'm not qualified to say whether or not Farmer's ideas will truly deliver - but surely it is time for such a total overhaul of economics, and this could be the starting point. As a result this is an important, and fascinating book. It is, to be honest, quite heavy going - except when telling stories like the casino attempts, Farmer isn't great at making his topic accessible to a non-technical audience. Yet despite this, it is hard not to be impressed by the totally different take on economics, and the already demonstrated success with some limited modelling already. 

Almost without doubt, most economists are going to hate this book - but history may well show that Farmer was on the side of the angels.

Hardback:   
Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg - See all Brian's online articles or subscribe to a weekly email free here

Comments

Popular posts from this blog

It's On You - Nick Chater and George Loewenstein *****

Going on the cover you might think this was a political polemic - and admittedly there's an element of that - but the reason it's so good is quite different. It shows how behavioural economics and social psychology have led us astray by putting the focus way too much on individuals. A particular target is the concept of nudges which (as described in Brainjacking ) have been hugely over-rated. But overall the key problem ties to another psychological concept: framing. Huge kudos to both Nick Chater and George Loewenstein - a behavioural scientist and an economics and psychology professor - for having the guts to take on the flaws in their own earlier work and that of colleagues, because they make clear just how limited and potentially dangerous is the belief that individuals changing their behaviour can solve large-scale problems. The main thesis of the book is that there are two ways to approach the major problems we face - an 'i-frame' where we focus on the individual ...

Introducing Artificial Intelligence – Henry Brighton & Howard Selina ****

It is almost impossible to rate these relentlessly hip books – they are pure marmite*. The huge  Introducing  … series (a vast range of books covering everything from Quantum Theory to Islam), previously known as …  for Beginners , puts across the message in a style that owes as much to Terry Gilliam and pop art as it does to popular science. Pretty well every page features large graphics with speech bubbles that are supposed to emphasise the point. Funnily,  Introducing Artificial Intelligence  is both a good and bad example of the series. Let’s get the bad bits out of the way first. The illustrators of these books are very variable, and I didn’t particularly like the pictures here. They did add something – the illustrations in these books always have a lot of information content, rather than being window dressing – but they seemed more detached from the text and rather lacking in the oomph the best versions have. The other real problem is that...

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, ...