Skip to main content

Peter Atkins - Four Way Interview

Peter Atkins is a fellow of Lincoln College, University of Oxford and the author of about 70 books for students and a general audience. His texts are market leaders around the globe. A frequent lecturer in the United States and throughout the world, he has held visiting professorships in France, Israel, Japan, China, and New Zealand. His latest title is Conjuring the Universe.

Why science?

Science is the only reliable way of acquiring knowledge, especially when it is supported by the austere language of mathematics. Science depends on publicly shareable knowledge, and is gradually building an interconnected reticulation of concepts and theories, which show how the very large illuminates the very small, and vice versa, and how aspects from different disciplines augment each other rather than conflict.

Why this book?

It deals with a question that lurks inside everyone and, in my view, provides a framework for understanding. Deep questions often have simple answers: I wanted to share that attitude.

As science progresses, so it is becoming prepared to tackle the great questions that have puzzled philosophers and the general public: what is the origin of the laws of nature? Were the laws imposed on the universe at its creation, could they be different? I like to think of science as being on the track of simplicity, avoiding the intellectual feather bed of postulating external clause, which is in fact even greater complexity than what it purports to explain. So, I set out to explore whether the laws of nature have an extraordinarily simple origin, which I believe is a combination of indolence, anarchy, and ignorance. These principles turn out to be extraordinarily powerful, for I argue that they imply the conservation laws (especially the all-important conservation of energy, the basis of causality), the foundation of quantum mechanics (and by extension, all classical mechanics), the laws of electromagnetism, and all thermodynamics. 

What more is there? Well, there are two other major questions. One is why the fundamental constants have their special values. That I answer by dividing the constants into two classes, the structural constants (like the speed of light and Planck’s constant) and the coupling constants (like the fundamental charge). The values of the former are easy to explain; on the latter I have nothing to say. The other deep question is why mathematics works as a reliable language for describing Nature: here I hazard a guess or two.  Overall, in this equation-free account (the supporting equations are in the safe space of the Notes), I seek to answer what puzzle many and what should interest everyone.

What’s next?

I am gradually forming a view, but it is too early to share.

What’s exciting you at the moment?

The ceaseless, but sometimes slow, advance of understanding that science provides. Every day, wonder becomes more reliable.

Photo credit: Aria Photography, Oxford

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, ...