Donald Mitchie: on Machine Intelligence, Biology & More

Donald Mitchie: on Machine Intelligence, Biology & More – Ashwin Srinivasan (ed.) ****

This is an eclectic collection of writings by and about Donald Michie, the Scottish-born scientist whose career spanned over half a century and covered many topics, most notably computer science and reproductive biology. Michie died in a car accident in 2007, aged 84, and “Machine Intelligence” is a tribute to his life and work compiled by the eminent computer scientist Ashwin Srinivasan.

The book varies widely in style and subject matter, but it is interesting and readable throughout. It comes in three parts, “Machine Intelligence,” “Biology,” and “Science and Society.” Each section is divided into chapters containing 3-5 pieces, with helpful introductions to the chapters by Srinivasan.

The writing is aimed at the non-specialist reader, and specialists may be disappointed by the absence of any of Michie’s many ground-breaking scientific papers. The upside is that experts and novices alike are treated to insider accounts of Michie’s code-breaking at Bletchley Park during WWII, reflections by Michie on how scientists work and the role of government in science, and thoughtful discussions of big topics in AI – such as the Turing test and the role of subconscious or “inarticulate” thought in cognition. Especially worthwhile are Michie’s thoughts on the difference between brute-force solutions to computing problems and truly intelligent solutions.

Michie was much more than a scientist, and some of the most witty and enjoyable writing in the book sees Michie as science administrator, social commentator, and popular science writer. Some of my favourites are his cutting comments on the Lighthill Report (the government report in the early 1970s that almost killed Britain’s nascent AI industry), his article about the reading habits of scientists (they do surprisingly little), and his account of a bizarre trek from London to Moscow that Michie undertook at the height of the Cold War.

“Machine Intelligence” is not a detailed or systematic treatment of Michie’s ideas – it’s a series of snapshots rather than a portrait. Articles on the same theme (like the difference between clever and intelligent computers) are sometimes scattered through the book rather than grouped together. And there are too many typographical errors. But “Machine Intelligence” succeeds as a readable tribute to a remarkable man, giving many glimpses of Michie’s insight, humour, and wide-ranging enthusiasm for science.

Hardback:

Using these links earns us commission at no cost to you

Review by Michael Bycroft

Comments

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...

Search This Blog