Skip to main content

Four Way Interview - Hector Levesque

Hector Levesque is Professor Emeritus in the Department of Computer Science at the University of Toronto. He worked in the area of knowledge representation and reasoning in artificial intelligence. He is the co-author of a graduate textbook and co-founder of a conference in this area. He received the Computers and Thought Award in 1985 near the start of his career, and the Research Excellence Award in 2013 near the end, both from IJCAI (the International Joint Conferences on Artificial Intelligence). His latest title is Common Sense, The Turing Test, and the Quest for Real AI.

Why computer science?

Computer science is not really the science of computers, but the science of computation, a certain kind of information processing, with only a marginal connection to electronics. (I prefer the term used in French and other languages, informatics, but it never really caught on in North America.) Information is somewhat like gravity: once you are made aware of it, you realize that it is everywhere. You certainly cannot have a Theory of Everything without a clear understanding of the role of information. 

Why this book?

AI is the part of computer science concerned with the use of information in the sort of intelligent behaviour exhibited by people. While there is an incredible amount of buzz (and money) surrounding AI technology these days, it is mostly concerned with what can be learned by training on massive amounts of data. My book makes the case that this is an overly narrow view of intelligence, that what people are able to do, and what early AI researchers first proposed to study, goes well beyond this.

What's next?

I have a technical monograph with Gerhard Lakemeyer published in 2000 by MIT Press on the logic of knowledge bases, that is, on the relationship between large-scale symbolic representations and abstract states of knowledge. We are working on a new edition that would incorporate some of what we have learned about knowledge and knowledge bases since then. 

What's exciting you at the moment?

For me, the most exciting work in AI these days, at least in the theoretical part of AI, concerns the general mathematical and computational integration of logical and probabilistic reasoning seen, for example, in the work of Vaishak Belle. It's pretty clear to all but diehards that both types of knowledge will be needed, but previous solutions have been somewhat ad hoc and required giving up something out of one or the other.

Comments

Popular posts from this blog

De/Cipher - Mark Frary ****

I was a little doubtful when I first saw this book. Although it has the intriguing tagline 'The greatest codes ever invented and how to crack them' the combination of a small format hardback and gratuitous illustrations made me suspect it would be a lightweight, minimal content, Janet and John approach to codes and ciphers. Thankfully, in reality Mark Frary manages to pack a remarkable amount of content into De/Cipher's slim form.

Not only do we get some history on and instructions to use a whole range of ciphers, there are engaging little articles on historical codebreakers and useful guidance on techniques to break the simpler ciphers. The broadly historical structure takes the reader through basic alphabetic manipulation, keys, electronic cryptography, one time pads and so on, all the way up to modern public key encryption and a short section on quantum cryptography. 

We even get articles on some of the best known unsolved ciphers, such as the Dorabella and the Voynich ma…

Cosmology for the Curious - Delia Perlov and Alex Vilenkin ***

In the recently published The Little Book of Black Holes we saw what I thought was pretty much impossible - a good, next level, general audience science title, spanning the gap between a typical popular science book and an introductory textbook, but very much in the style of popular science. Cosmology for the Curious does something similar, but coming from the other direction. This is an introductory textbook, intended for first year physics students, with familiar textbook features like questions to answer at the end of each chapter. Yet by incorporating some history and context, plus taking a more relaxed style in the writing, it's certainly more approachable than a typical textbook.

The first main section, The Big Bang and the Observable Universe not only covers basic big bang cosmology but fills in the basics of special and general relativity, Hubble's law, dark matter, dark energy and more. We then move onto the more speculative (this is cosmology, after all) aspects, brin…

Paul McAuley - Four Way Interview

Paul McAuley won the Philip K. Dick Award for his first novel and has gone on to win the Arthur C. Clarke, British Fantasy, Sidewise and John W. Campbell Awards. He gave up his position as a research biologist to write full-time. He lives in London. His latest novel is Austral.


Why science fiction?

For one thing, I fell in love with science fiction at an early age, and haven’t yet fallen out of love with it (although I have flirted with other genres). For another, we’re living in an increasingly science-fictional present. Every day brings headlines that could have been ripped from a science-fiction story. Giant robot battle: Who knew a duel between chainsaw-armed mech suits could be so boring? for instance. Or, Roy Orbison hologram to embark on UK tour in 2018. And looming above all this, like Hokusai’s famous wave, are the ongoing changes caused by global warming and climate change, which is just one consequence of human activity having become the dominant force of change on the planet…