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The world we live in can seem pretty illogical. | 0:00:03 | 0:00:07 | |
The things people say, | 0:00:07 | 0:00:09 | |
the ways we behave, | 0:00:09 | 0:00:12 | |
the complex choices we have to make. | 0:00:12 | 0:00:14 | |
HE SHOUTS | 0:00:14 | 0:00:16 | |
What's the quickest way to get home? | 0:00:16 | 0:00:19 | |
Can I trust any of you lot? | 0:00:19 | 0:00:22 | |
Where did you all come from? | 0:00:23 | 0:00:26 | |
That process of making sense of all this stuff, | 0:00:26 | 0:00:29 | |
of sorting between the truth and the nonsense, | 0:00:29 | 0:00:32 | |
comes down to one of the most simple and yet powerful tools | 0:00:32 | 0:00:36 | |
ever created by humans - logic. | 0:00:36 | 0:00:39 | |
Yes. Yes. | 0:00:39 | 0:00:42 | |
There is definitely beauty in logic! | 0:00:42 | 0:00:44 | |
Who would like to be bits of a computer? | 0:00:44 | 0:00:48 | |
ALL CHEER | 0:00:48 | 0:00:49 | |
In the building next door to me at work, | 0:00:49 | 0:00:51 | |
there's a door and there's a sign on it that says, | 0:00:51 | 0:00:54 | |
"This door must be kept closed at all times." | 0:00:54 | 0:00:57 | |
I just look at this in amazement. Really?! | 0:00:57 | 0:01:00 | |
Why did you build a door then? | 0:01:00 | 0:01:02 | |
Is this sentence true or false? | 0:01:02 | 0:01:05 | |
Philosophy, maths, science and language - | 0:01:05 | 0:01:08 | |
logic is the engine for all of them. | 0:01:08 | 0:01:11 | |
In fact, it drives the fundamental process of reasoning itself. | 0:01:11 | 0:01:15 | |
I'm a professor of computer science. | 0:01:15 | 0:01:18 | |
Computer scientists tend to think that logic is the bee's knees. | 0:01:18 | 0:01:22 | |
So, it follows that I think logic is brilliant. | 0:01:22 | 0:01:25 | |
Logic has inspired our greatest boffins. | 0:01:26 | 0:01:28 | |
I'm Socrates! | 0:01:28 | 0:01:31 | |
It's given us transformational technologies... | 0:01:31 | 0:01:33 | |
Delta 11, report your entry point. | 0:01:33 | 0:01:35 | |
..and even made us question what it means to be human. | 0:01:35 | 0:01:38 | |
Off with her head! | 0:01:38 | 0:01:40 | |
I want to see if there's any limit to what logic can do for us. | 0:01:40 | 0:01:45 | |
So, join me - it would be terribly illogical not to. | 0:01:45 | 0:01:48 | |
Logic is right at the heart of what I do. | 0:01:59 | 0:02:03 | |
Around 15 years ago, kind of by accident, | 0:02:03 | 0:02:05 | |
I created something that had a really big impact here - | 0:02:05 | 0:02:08 | |
on the trading floors of the City of London. | 0:02:08 | 0:02:12 | |
CLAMOUR | 0:02:12 | 0:02:15 | |
It was a computer programme I called ZIP, | 0:02:15 | 0:02:18 | |
and it used logic to replicate THIS - | 0:02:18 | 0:02:21 | |
a centuries-old tradition of human traders, | 0:02:21 | 0:02:24 | |
supposedly vested with very special skills, | 0:02:24 | 0:02:26 | |
crammed into rooms, shouting at each other. | 0:02:26 | 0:02:29 | |
SHOUTING | 0:02:29 | 0:02:32 | |
It's ever so simple, just a few logical inferences - decisions - | 0:02:32 | 0:02:36 | |
and a little bit of maths. | 0:02:36 | 0:02:38 | |
It learns from its trading successes and failures. | 0:02:38 | 0:02:41 | |
Its aim is to trade as profitably as possible in a fast-moving market, | 0:02:41 | 0:02:46 | |
where levels of supply and demand are shifting rapidly. | 0:02:46 | 0:02:49 | |
It turned out that ZIP, built squarely on logic, | 0:02:52 | 0:02:55 | |
was impressively proficient at this trading lark. | 0:02:55 | 0:02:59 | |
In fact today, in many markets, | 0:02:59 | 0:03:02 | |
billions or trillions of dollars' worth of deals go through | 0:03:02 | 0:03:05 | |
with no human intervention at all, which is kind of mind-boggling. | 0:03:05 | 0:03:09 | |
Every day, computer programs, on their own, | 0:03:11 | 0:03:14 | |
do deals that determine the cost of everything | 0:03:14 | 0:03:16 | |
from our fuel and food, to the worth of our pensions. | 0:03:16 | 0:03:20 | |
It's pretty important stuff! | 0:03:20 | 0:03:22 | |
And, every day, scientists like me | 0:03:22 | 0:03:25 | |
earn a living using logic to find solutions | 0:03:25 | 0:03:27 | |
to all kinds of other real-world challenges. | 0:03:27 | 0:03:30 | |
So, why am I not as rich as Bill Gates? | 0:03:32 | 0:03:35 | |
Well, I gave away the ZIP software for free. | 0:03:35 | 0:03:38 | |
And, looking back, that was probably NOT my most logical move. | 0:03:38 | 0:03:42 | |
So what IS logic? | 0:03:46 | 0:03:48 | |
What does "being logical" even mean? | 0:03:48 | 0:03:51 | |
I'd like a pint of lager, please. | 0:03:52 | 0:03:54 | |
Well, all you need to explain it are three logicians and a boozer. | 0:03:54 | 0:03:58 | |
Logic is actually all about the "rules of correct reasoning". | 0:04:00 | 0:04:05 | |
Let me tell you a joke. | 0:04:05 | 0:04:07 | |
Three logicians walk into a bar. | 0:04:07 | 0:04:09 | |
The barman says... | 0:04:09 | 0:04:11 | |
Gents, would you three like a beer? | 0:04:11 | 0:04:13 | |
And the first logician says... | 0:04:13 | 0:04:15 | |
I don't know. | 0:04:15 | 0:04:17 | |
The second logician says.. | 0:04:17 | 0:04:18 | |
I don't know. | 0:04:20 | 0:04:21 | |
And then the third logician says.. | 0:04:21 | 0:04:24 | |
-Yes, yes, we would all like a beer. -LAUGHTER | 0:04:24 | 0:04:28 | |
OK, so it's not exactly a side-splitting, laugh-out-loud gag, | 0:04:28 | 0:04:32 | |
more of a chortle for nerds. | 0:04:32 | 0:04:34 | |
But what went on there? | 0:04:34 | 0:04:36 | |
Well, forgive me, I'm going to analyse that joke to death. | 0:04:36 | 0:04:39 | |
TAPE SCROLLING | 0:04:39 | 0:04:41 | |
Remember, the barman's question was - | 0:04:41 | 0:04:43 | |
"Would all three of you like a beer?" | 0:04:43 | 0:04:46 | |
The key here is the "all three" bit. | 0:04:46 | 0:04:49 | |
If any one of those logicians doesn't want a beer, | 0:04:49 | 0:04:52 | |
then he'd be able to answer "no". | 0:04:52 | 0:04:54 | |
That's because if one doesn't want a beer, they don't ALL want one. | 0:04:54 | 0:04:59 | |
Logician 1 does want a beer, but he can't speak for the others, | 0:04:59 | 0:05:03 | |
so he HAS to say, "I don't know". | 0:05:03 | 0:05:06 | |
Exactly the same goes for Logician 2. | 0:05:06 | 0:05:09 | |
Then, happily for Logicians 1 and 2, | 0:05:09 | 0:05:12 | |
Logician 3 ALSO wants a beer, | 0:05:12 | 0:05:13 | |
and so he correctly uses logical inference | 0:05:13 | 0:05:17 | |
to arrive at the right answer to the question. | 0:05:17 | 0:05:20 | |
Yes, yes, we would all like a beer. | 0:05:20 | 0:05:23 | |
At last! Logician 3 ends the torment because he CAN speak for everyone. | 0:05:23 | 0:05:29 | |
Cheers to that! | 0:05:29 | 0:05:30 | |
The important thing to understand is that logic isn't knowledge. | 0:05:32 | 0:05:36 | |
Logic doesn't create knowledge - | 0:05:36 | 0:05:38 | |
what it does is it give us cast-iron rules | 0:05:38 | 0:05:41 | |
for how to organise and handle knowledge. | 0:05:41 | 0:05:44 | |
Even so, the quality of the conclusions you get out | 0:05:44 | 0:05:48 | |
depends on the quality of the ideas that you put in. | 0:05:48 | 0:05:51 | |
Time, please, gents! | 0:05:51 | 0:05:54 | |
ALL: 11 o'clock! | 0:05:55 | 0:05:57 | |
HE SIGHS | 0:05:57 | 0:05:59 | |
It'd be a funny old world | 0:06:02 | 0:06:04 | |
if we followed the rules of logic all of the time. | 0:06:04 | 0:06:07 | |
These days, logic is studied | 0:06:23 | 0:06:25 | |
and taught in academic institutions the world over. | 0:06:25 | 0:06:28 | |
Its history stretches back 2,500 years, | 0:06:28 | 0:06:31 | |
to the age of the Greek philosopher, Aristotle. | 0:06:31 | 0:06:34 | |
He created the first formal rules of logic | 0:06:34 | 0:06:38 | |
that would govern good reasoning, clear thought and reliable argument. | 0:06:38 | 0:06:42 | |
Aristotle's most famous logical tool is the syllogism. | 0:06:43 | 0:06:48 | |
A syllogism is a certain simple kind of argument | 0:06:48 | 0:06:51 | |
consisting of three propositions. | 0:06:51 | 0:06:54 | |
And the first two propositions are the premises, | 0:06:54 | 0:06:56 | |
the things that we take for granted in the argument. | 0:06:56 | 0:06:59 | |
So, for example, "All men are mortal", | 0:07:12 | 0:07:15 | |
"Socrates is a man". | 0:07:15 | 0:07:17 | |
Those are our two premises. | 0:07:17 | 0:07:18 | |
And from them, we draw the conclusion - | 0:07:18 | 0:07:21 | |
"Socrates is mortal". | 0:07:21 | 0:07:22 | |
Aristotle's example is good logical reasoning. | 0:07:22 | 0:07:26 | |
First, we take one premise, or thing we know - | 0:07:26 | 0:07:30 | |
"All men are mortal". | 0:07:30 | 0:07:32 | |
Yes, indeed. | 0:07:32 | 0:07:33 | |
I'm Socrates. | 0:07:33 | 0:07:36 | |
Then pair it with a second one... | 0:07:36 | 0:07:38 | |
I am a man. | 0:07:38 | 0:07:40 | |
Then we figure out, or infer, | 0:07:40 | 0:07:42 | |
that, alas, Socrates is mortal | 0:07:42 | 0:07:46 | |
That makes me sad. | 0:07:46 | 0:07:48 | |
If your premises are reliable, | 0:07:49 | 0:07:51 | |
and you follow Aristotle's rules, | 0:07:51 | 0:07:53 | |
you get answers that are reliable, too. | 0:07:53 | 0:07:55 | |
But Aristotle's theory of the syllogism | 0:07:58 | 0:08:01 | |
can deal with more complicated arguments | 0:08:01 | 0:08:03 | |
that don't just have "all" in them but "some" in them, and "not". | 0:08:03 | 0:08:08 | |
Take all these into account, | 0:08:11 | 0:08:13 | |
and you find there are lots of ways to make a syllogism. | 0:08:13 | 0:08:16 | |
So, if you multiply that up, | 0:08:18 | 0:08:21 | |
you find that there are 256 kinds of syllogism. | 0:08:21 | 0:08:24 | |
And Aristotle identified 19 of these as being logically valid, | 0:08:24 | 0:08:31 | |
so that if the premises are true, | 0:08:31 | 0:08:33 | |
the conclusion has to be true as well. | 0:08:33 | 0:08:36 | |
And all the others of those 256 forms, | 0:08:36 | 0:08:39 | |
you can have true premises but a false conclusion, | 0:08:39 | 0:08:42 | |
so arguing in that way is fallacious, | 0:08:42 | 0:08:46 | |
those kind of syllogisms are fallacies. | 0:08:46 | 0:08:49 | |
It's the old logical fallacy - all cats have four legs. | 0:08:49 | 0:08:53 | |
My dog has four legs. | 0:08:53 | 0:08:55 | |
Therefore, my dog is a cat. | 0:08:55 | 0:08:58 | |
He is suffering from politicians' logic! | 0:08:59 | 0:09:02 | |
This is just one of Aristotle's fallacies. | 0:09:03 | 0:09:06 | |
It looks similar to good logic, the premises are both true, | 0:09:06 | 0:09:09 | |
but the way they're organised | 0:09:09 | 0:09:11 | |
means the reasoning is completely backwards, | 0:09:11 | 0:09:14 | |
and the conclusion - bonkers. | 0:09:14 | 0:09:16 | |
Something must be done. This is something, therefore, we must do it. | 0:09:16 | 0:09:20 | |
But doing the wrong thing is worse than doing nothing. | 0:09:20 | 0:09:23 | |
Doing anything is worse than doing nothing. | 0:09:23 | 0:09:25 | |
LAUGHTER | 0:09:25 | 0:09:26 | |
BELLS RING | 0:09:26 | 0:09:31 | |
Such was the power of Aristotle's logic | 0:09:31 | 0:09:34 | |
that scholars used and taught it, | 0:09:34 | 0:09:36 | |
but actually didn't do a great deal to change it, | 0:09:36 | 0:09:38 | |
for the next 2,000 years. | 0:09:38 | 0:09:40 | |
But it wasn't just philosophers that were enamoured of logic. | 0:09:42 | 0:09:45 | |
By the 19th Century, the public had fallen for it, too. | 0:09:45 | 0:09:48 | |
For this, our thanks must chiefly go a mathematician | 0:09:49 | 0:09:53 | |
who spent most of his life working at Christchurch, in Oxford. | 0:09:53 | 0:09:56 | |
Charles Dodgson. | 0:09:56 | 0:09:58 | |
He's much better known by his pen name, Lewis Carroll. | 0:09:58 | 0:10:02 | |
The mathematics books were mainly under his real name, | 0:10:03 | 0:10:07 | |
Charles Lutwidge Dodgson, | 0:10:07 | 0:10:09 | |
but he chose to use his pen name, Lewis Carroll, | 0:10:09 | 0:10:13 | |
for the game of logic and symbolic logic, | 0:10:13 | 0:10:16 | |
clearly to give it a wider audience. | 0:10:16 | 0:10:19 | |
Explain yourself, child. | 0:10:29 | 0:10:32 | |
Alice's adventures may seem barmy | 0:10:32 | 0:10:35 | |
but, curiouser and curiouser, | 0:10:35 | 0:10:38 | |
she was actually up to her eyeballs in logic. | 0:10:38 | 0:10:41 | |
In the Mad Tea-Party, | 0:10:41 | 0:10:43 | |
the March Hare says, "You must say what you mean." | 0:10:43 | 0:10:48 | |
And Alice replies "Well, I mean what I say. | 0:10:48 | 0:10:51 | |
"It's the same thing, you know." | 0:10:51 | 0:10:54 | |
The Hatter says, "You might as well say that, | 0:10:54 | 0:10:57 | |
" 'I see what I eat' is the same as, 'I eat what I see'." | 0:10:57 | 0:11:01 | |
Got you! | 0:11:01 | 0:11:03 | |
Bottles don't talk! | 0:11:03 | 0:11:05 | |
Dodgson was so keen to introduce people to the delights of logic, | 0:11:05 | 0:11:10 | |
that he drafted a book initially called Logic For Ladies. | 0:11:10 | 0:11:15 | |
He was very conscious that girls in particular were not heard, | 0:11:15 | 0:11:19 | |
they were not given the chance to go to school, | 0:11:19 | 0:11:22 | |
very few had the opportunity of going to university. | 0:11:22 | 0:11:25 | |
They certainly weren't able to get a degree. | 0:11:25 | 0:11:28 | |
Happily for us blokes, Dodgson had a change of heart | 0:11:29 | 0:11:33 | |
and Logic For Ladies was renamed Symbolic Logic. | 0:11:33 | 0:11:37 | |
Together with The Game Of Logic, it did surprisingly well. | 0:11:37 | 0:11:41 | |
He felt that young people needed a tool | 0:11:41 | 0:11:44 | |
to detect fallacious arguments | 0:11:44 | 0:11:47 | |
that they might meet in books and magazines. | 0:11:47 | 0:11:51 | |
He wanted them to have the ability to detect that. | 0:11:51 | 0:11:54 | |
While Dodgson's intentions would have made Aristotle proud, | 0:11:56 | 0:12:00 | |
some of his syllogisms stand out today for the wrong reasons. | 0:12:00 | 0:12:04 | |
What are you meant to conclude? | 0:12:04 | 0:12:07 | |
No marks for saying, | 0:12:07 | 0:12:08 | |
"Victorian England was intrinsically anti-Semitic". | 0:12:08 | 0:12:12 | |
I think Dodgson would have wholeheartedly approved | 0:12:20 | 0:12:22 | |
of today's most popular logic game - sudoku. | 0:12:22 | 0:12:26 | |
There's something captivating about the fact | 0:12:26 | 0:12:28 | |
that logic tells you the answer must be in there, | 0:12:28 | 0:12:31 | |
but you need to apply logical reasoning to find it. | 0:12:31 | 0:12:34 | |
It can be really engaging, | 0:12:34 | 0:12:36 | |
but it can also be really frustrating and annoying, too. | 0:12:36 | 0:12:39 | |
Charles Dodgson had been the first person to popularise | 0:12:43 | 0:12:46 | |
the idea of logical reasoning and critical thinking. | 0:12:46 | 0:12:49 | |
But, for all its growing popularity, | 0:12:51 | 0:12:54 | |
logic itself was due for an upgrade. | 0:12:54 | 0:12:57 | |
In 1847, this ground-breaking book was published. | 0:12:59 | 0:13:03 | |
It's called The Mathematical Analysis Of Logic. | 0:13:03 | 0:13:06 | |
Now, this isn't logic for philosophers or puzzle fans. | 0:13:06 | 0:13:09 | |
The author of this book argues | 0:13:09 | 0:13:11 | |
that the real purpose of logic is mathematics. | 0:13:11 | 0:13:13 | |
And this book was written by George Boole. | 0:13:13 | 0:13:16 | |
Born into a poor family in Lincoln, | 0:13:19 | 0:13:21 | |
Boole mastered mathematics at a fantastically young age | 0:13:21 | 0:13:25 | |
and, by 20, he'd opened his own school. | 0:13:25 | 0:13:28 | |
Boole's big idea was that logic | 0:13:30 | 0:13:32 | |
was actually closer to mathematics than philosophy. | 0:13:32 | 0:13:35 | |
All you needed to do was change the words | 0:13:35 | 0:13:38 | |
in a logical argument to symbols, | 0:13:38 | 0:13:40 | |
and then it could be solved just like an equation. | 0:13:40 | 0:13:43 | |
He called it his "calculus of reasoning". | 0:13:43 | 0:13:47 | |
DOOR SLAMS | 0:13:49 | 0:13:50 | |
First, he demonstrated that the letters we use in algebra | 0:13:50 | 0:13:54 | |
to represent numbers can actually be used to represent | 0:13:54 | 0:13:57 | |
whole classes of things in the real world. | 0:13:57 | 0:14:00 | |
So, for instance we might have the class, X, of things that are fluffy, | 0:14:00 | 0:14:05 | |
and the class, Y, of things that bark. | 0:14:05 | 0:14:08 | |
Second, he introduced a set of operators | 0:14:10 | 0:14:12 | |
for combining these classes of things | 0:14:12 | 0:14:15 | |
the three most important ones are AND, OR and NOT, | 0:14:15 | 0:14:18 | |
and they're known as "Boolean operators" in his honour. | 0:14:18 | 0:14:21 | |
So, if we redraw our classes so that they overlap, | 0:14:21 | 0:14:24 | |
the bit in the middle, | 0:14:24 | 0:14:26 | |
that's things that are fluffy or bark, X AND Y. | 0:14:26 | 0:14:30 | |
If we look at the whole of the two circles, | 0:14:30 | 0:14:33 | |
well, that's things that are either fluffy or they bark. | 0:14:33 | 0:14:36 | |
So that's X OR Y. | 0:14:36 | 0:14:38 | |
And, finally, if we think about the area outside, | 0:14:38 | 0:14:40 | |
well, they're neither fluffy nor barking | 0:14:40 | 0:14:43 | |
so that's NOT X AND NOT Y - | 0:14:43 | 0:14:45 | |
things that aren't fluffy and don't bark. Like me. | 0:14:45 | 0:14:48 | |
Boole's new mathematical logic | 0:14:49 | 0:14:51 | |
reduces any logical problem | 0:14:51 | 0:14:52 | |
to symbols that can be combined in new ways. | 0:14:52 | 0:14:55 | |
And there was one final | 0:14:55 | 0:14:57 | |
and crucial innovation. | 0:14:57 | 0:14:58 | |
In Boole's new mathematical logic, everything's either in or out, | 0:15:00 | 0:15:04 | |
statements are either true or false, | 0:15:04 | 0:15:07 | |
everything's either a 1 or a 0. | 0:15:07 | 0:15:10 | |
For example, if I were to ask my dog, Floss, | 0:15:11 | 0:15:14 | |
"Are you fluffy?" AND "Do you bark?" | 0:15:14 | 0:15:17 | |
she would have to bark, "Yes!" | 0:15:17 | 0:15:19 | |
RUFF! | 0:15:19 | 0:15:20 | |
Taking 1 to mean "yes" and 0 to mean "no", | 0:15:20 | 0:15:23 | |
with Boole, we get this. | 0:15:23 | 0:15:26 | |
It was an entirely new form of logical reasoning. | 0:15:26 | 0:15:29 | |
Seemingly anything could be boiled down to symbols | 0:15:29 | 0:15:32 | |
and just two numbers. | 0:15:32 | 0:15:34 | |
And it's in my field that Boole's vision would prove transformative. | 0:15:35 | 0:15:38 | |
Almost a century after his death, | 0:15:38 | 0:15:41 | |
his logic would become the language of computing. | 0:15:41 | 0:15:44 | |
My logical hero has to be George Boole, | 0:15:44 | 0:15:48 | |
Boolean logic is so simple, yet so fundamental to explaining our world, | 0:15:48 | 0:15:54 | |
and even the world today, which is full of complex systems | 0:15:54 | 0:15:58 | |
that he could never have imagined, | 0:15:58 | 0:16:00 | |
and Boolean logic allows us to reason about them. | 0:16:00 | 0:16:04 | |
(What a guy!) | 0:16:04 | 0:16:06 | |
I think the application area | 0:16:17 | 0:16:19 | |
and the use of logics has changed dramatically | 0:16:19 | 0:16:22 | |
in the last 20-30 years | 0:16:22 | 0:16:24 | |
with the advent of computer science and software system. | 0:16:24 | 0:16:28 | |
Because, fundamentally, these systems are about 0s and 1s, | 0:16:28 | 0:16:32 | |
entities that map onto truth and falsity. | 0:16:32 | 0:16:36 | |
And what I think is just absolutely brilliant | 0:16:36 | 0:16:38 | |
is that we go back to lots of the logical ideas | 0:16:38 | 0:16:41 | |
invented and conceived over 100 years ago, | 0:16:41 | 0:16:45 | |
before anyone imagined the systems that they'd be applicable to. | 0:16:45 | 0:16:49 | |
Boole never knew it but, thanks to him, all computers today | 0:16:50 | 0:16:54 | |
process their information as binary digits or "bits". | 0:16:54 | 0:16:58 | |
With binary any number can be represented | 0:16:58 | 0:17:01 | |
by combinations of 1s and 0s. | 0:17:01 | 0:17:04 | |
I'm going to do an experiment. | 0:17:06 | 0:17:09 | |
Come on in. So the cool thing about binary numbers | 0:17:09 | 0:17:13 | |
is that they're really easy for computers to manipulate, | 0:17:13 | 0:17:16 | |
to add and subtract, or multiply or divide or to compare to each other. | 0:17:16 | 0:17:21 | |
In fact, any time you see a computer doing anything, | 0:17:21 | 0:17:24 | |
whether it's adding two numbers together | 0:17:24 | 0:17:26 | |
or computing stock-market derivatives, | 0:17:26 | 0:17:29 | |
inside, it's using Boolean logic to do just that. | 0:17:29 | 0:17:33 | |
I want to demonstrate how Boole's logic can be used for computing. | 0:17:35 | 0:17:39 | |
At their simplest, computers work by passing bits of information, | 0:17:39 | 0:17:44 | |
1s and 0s, through a circuit, like the one we're building here. | 0:17:44 | 0:17:48 | |
The most important parts are the junctions, | 0:17:48 | 0:17:50 | |
where the bits of information are combined and passed on. | 0:17:50 | 0:17:55 | |
These are called Boolean logic gates, | 0:17:55 | 0:17:57 | |
and the way you order them | 0:17:57 | 0:17:59 | |
determines exactly what the circuit can do. | 0:17:59 | 0:18:02 | |
From simple addition to calculations we could never do in our own heads - | 0:18:02 | 0:18:06 | |
they can all be worked out with something like this. | 0:18:06 | 0:18:09 | |
I'm going to use these guys, | 0:18:10 | 0:18:13 | |
and some very simple logic gates - | 0:18:13 | 0:18:15 | |
AND, NOT and OR - | 0:18:15 | 0:18:19 | |
and a circuit that we've got out there in the school hall, | 0:18:19 | 0:18:22 | |
and what this circuit is going to do | 0:18:22 | 0:18:24 | |
is to add together two numbers to come up with one answer. | 0:18:24 | 0:18:28 | |
Who would like to be bits of a computer? | 0:18:28 | 0:18:32 | |
ALL CHEER | 0:18:32 | 0:18:34 | |
Come on up, and I'll give you out your shirts, OK? | 0:18:34 | 0:18:37 | |
This one is a number 1. Which is for Ishmael... | 0:18:37 | 0:18:42 | |
'They're not just pretending - they WILL be a computer.' | 0:18:42 | 0:18:47 | |
Charlie T, thank you very much for being an AND gate. | 0:18:47 | 0:18:49 | |
'Normally, of course, computers work on electric currents. | 0:18:49 | 0:18:53 | |
'Our computer will be powered by kids, | 0:18:53 | 0:18:55 | |
'who will pass on their 1s and 0s | 0:18:55 | 0:18:57 | |
'by either tagging the next kid in line for a 1 - | 0:18:57 | 0:19:01 | |
'or not tagging them for 0.' | 0:19:01 | 0:19:03 | |
CHEERING | 0:19:03 | 0:19:04 | |
'It's time for the kids to take their places in our circuit. | 0:19:04 | 0:19:08 | |
'And, for the record, I've never tried this before!' | 0:19:08 | 0:19:12 | |
OK, some of you are being AND gates. | 0:19:12 | 0:19:15 | |
Do you remember what an AND gate has to do? | 0:19:15 | 0:19:17 | |
'The rule for ANDs is they only get a 1 to pass on | 0:19:17 | 0:19:20 | |
'if they're tagged on both shoulders.' | 0:19:20 | 0:19:23 | |
So, some of you are being OR gates. | 0:19:23 | 0:19:25 | |
'ORs pass on a 1 if they're tagged on one or both shoulders.' | 0:19:25 | 0:19:30 | |
Some of you are being NOT gates. | 0:19:30 | 0:19:32 | |
'NOTs are different. | 0:19:32 | 0:19:34 | |
'They get a 1 to pass on if they're not tagged.' | 0:19:34 | 0:19:37 | |
Numbers - you are the most important thing, | 0:19:37 | 0:19:39 | |
cos the whole circuit is about processing numbers. | 0:19:39 | 0:19:42 | |
'We're going to put these four bits into the circuit, | 0:19:42 | 0:19:44 | |
'which arranged like this, represent 2 and 3.' | 0:19:44 | 0:19:48 | |
Off you go! | 0:19:48 | 0:19:49 | |
The bits of information have been inputted. | 0:19:50 | 0:19:54 | |
They're relayed on by the first set of kids. | 0:19:54 | 0:19:57 | |
If they're following their rules, only some should be carrying 1s. | 0:19:57 | 0:20:01 | |
While other's won't. | 0:20:01 | 0:20:02 | |
At each gate, the bits are combined and passed on. | 0:20:04 | 0:20:08 | |
They're nearly there! | 0:20:08 | 0:20:09 | |
At last, the output numbers are either tagged or not. | 0:20:09 | 0:20:13 | |
So. We've got a 1, and 0 and a 1. | 0:20:13 | 0:20:17 | |
4 and 1, and that makes 5. | 0:20:17 | 0:20:19 | |
And the numbers we added at the start were a 3 and a 2. | 0:20:21 | 0:20:25 | |
So, a 3 and a 2 moving through this circuit, | 0:20:25 | 0:20:27 | |
with all of you just doing very simple things, | 0:20:27 | 0:20:29 | |
being AND or OR or NOT, ended up a 5 this end, | 0:20:29 | 0:20:33 | |
so you have calculated the right number! | 0:20:33 | 0:20:35 | |
WILD CHEERING | 0:20:35 | 0:20:38 | |
Today, all our computers are built using Boole's logic gates. | 0:20:41 | 0:20:45 | |
Here we have 13, | 0:20:45 | 0:20:46 | |
but a modern computer chip like this one might have 250 million. | 0:20:46 | 0:20:51 | |
They're all doing exactly what these guys were doing, | 0:20:51 | 0:20:53 | |
but an awful lot faster. | 0:20:53 | 0:20:56 | |
We just did a simple sum here, | 0:20:57 | 0:20:59 | |
but Boole heralded a new era for logic, | 0:20:59 | 0:21:02 | |
in which reasoning about anything | 0:21:02 | 0:21:04 | |
could be done in the language of maths. | 0:21:04 | 0:21:06 | |
There are lots of different logics | 0:21:07 | 0:21:10 | |
because there's lots of different kinds of systems | 0:21:10 | 0:21:12 | |
or worlds that we want to reason about. | 0:21:12 | 0:21:15 | |
I've been applying logic to reason | 0:21:15 | 0:21:18 | |
about a wide variety of complex systems. | 0:21:18 | 0:21:21 | |
I've looked at communications for air-traffic control systems, | 0:21:21 | 0:21:25 | |
molecular biology, I've also looked at advanced telephony. | 0:21:25 | 0:21:29 | |
But, regardless of the application, | 0:21:30 | 0:21:33 | |
all logics have one thing in common. | 0:21:33 | 0:21:35 | |
Amongst all these logics, the unifying property | 0:21:36 | 0:21:39 | |
is they're about axioms and rules so the answer is unambiguous. | 0:21:39 | 0:21:44 | |
We can automate the procedure of computing the answer in logics, | 0:21:44 | 0:21:50 | |
but we still need to pose the question. | 0:21:50 | 0:21:53 | |
Taking exactly those questions | 0:21:55 | 0:21:57 | |
and automating the way we logically answer them | 0:21:57 | 0:22:00 | |
requires what's known as an "algorithm". | 0:22:00 | 0:22:03 | |
It's the province of my very own breed of nerd - | 0:22:03 | 0:22:06 | |
the computer programmer. | 0:22:06 | 0:22:08 | |
And there's nowhere more important for today's generation | 0:22:10 | 0:22:13 | |
of up-and-coming young programmers than this - | 0:22:13 | 0:22:16 | |
the annual International Olympiad of Informatics, | 0:22:16 | 0:22:19 | |
held this year in Brisbane, Australia. | 0:22:19 | 0:22:21 | |
We're trying to find the best and the smartest students | 0:22:22 | 0:22:25 | |
when it comes to computational thinking, | 0:22:25 | 0:22:28 | |
algorithms and programming. | 0:22:28 | 0:22:29 | |
On each competition day, everyone is set three questions | 0:22:31 | 0:22:34 | |
which must be answered within five hours. | 0:22:34 | 0:22:36 | |
The easiest one, you just had a bunch of locked doors | 0:22:37 | 0:22:41 | |
and you had a bunch of switches, | 0:22:41 | 0:22:43 | |
each of the switches was connected to one of the doors, | 0:22:43 | 0:22:46 | |
but you didn't know which switch was connected to which door. | 0:22:46 | 0:22:50 | |
And what they ask for is to determine, for each switch, | 0:22:50 | 0:22:54 | |
which door it's connected to and which position is the correct one. | 0:22:54 | 0:22:58 | |
Johnny Ho is last year's champion, | 0:22:59 | 0:23:01 | |
so there's a lot to live up to, | 0:23:01 | 0:23:03 | |
but things aren't quite going his way. | 0:23:03 | 0:23:06 | |
By now I've actually solved all three, | 0:23:06 | 0:23:08 | |
but I didn't actually solve them during the contest | 0:23:08 | 0:23:11 | |
because there's just a lot of pressure.. | 0:23:11 | 0:23:13 | |
We test the ability of students to come up with clever algorithms | 0:23:13 | 0:23:17 | |
to solve algorithmic problems. | 0:23:17 | 0:23:20 | |
They not only have to come up with the algorithms, | 0:23:20 | 0:23:23 | |
but they have to write a computer program that runs the algorithm. | 0:23:23 | 0:23:26 | |
Algorithms turn real-world problems | 0:23:29 | 0:23:31 | |
into questions that logic can help us answer. | 0:23:31 | 0:23:35 | |
If, for example, these guys wanted to spend | 0:23:35 | 0:23:37 | |
their day off competition duties | 0:23:37 | 0:23:39 | |
defining the group of all animals in a zoo that are marsupials, | 0:23:39 | 0:23:43 | |
the first step of the algorithm could be to ask - | 0:23:43 | 0:23:46 | |
"Of all the animals I see, | 0:23:46 | 0:23:48 | |
"which would I find in the wild in Australia?" | 0:23:48 | 0:23:51 | |
No. | 0:23:52 | 0:23:54 | |
Nope. | 0:23:54 | 0:23:55 | |
No. | 0:23:55 | 0:23:57 | |
Yes! | 0:23:57 | 0:23:58 | |
No. | 0:23:58 | 0:23:59 | |
I don't know. | 0:23:59 | 0:24:01 | |
Yes. Yes. | 0:24:01 | 0:24:03 | |
Yes. | 0:24:03 | 0:24:04 | |
Definitely not. | 0:24:04 | 0:24:07 | |
Yes. | 0:24:07 | 0:24:08 | |
Certainly not all of the yeses and don't-knows will be marsupials, | 0:24:08 | 0:24:12 | |
so the list can then be refined | 0:24:12 | 0:24:14 | |
by asking which of these animals have pouches. | 0:24:14 | 0:24:16 | |
And here there are options, too. | 0:24:16 | 0:24:18 | |
They could look in a book. | 0:24:18 | 0:24:21 | |
They could ask Chris, he's an expert. | 0:24:21 | 0:24:24 | |
Or they could crowd-source the question | 0:24:24 | 0:24:26 | |
and go for the most popular answer. | 0:24:26 | 0:24:28 | |
Each logical algorithm incurs a different cost - | 0:24:28 | 0:24:31 | |
in effort, time or accuracy - | 0:24:31 | 0:24:33 | |
but, whichever way, they'd each get to an answer eventually. | 0:24:33 | 0:24:37 | |
And there are certain situations where a good logical algorithm | 0:24:41 | 0:24:44 | |
can be the difference between life and death. | 0:24:44 | 0:24:47 | |
This is the NATS control centre, in Swanwick, south-east England. | 0:24:53 | 0:24:58 | |
At any one time, around 100 air-traffic controllers | 0:24:58 | 0:25:01 | |
are responsible for 200,000 square miles of airspace over the UK. | 0:25:01 | 0:25:06 | |
Delta 11, report your entry point. | 0:25:06 | 0:25:09 | |
Landing over 2 million flights a year, | 0:25:09 | 0:25:12 | |
it's perhaps surprising that, until very recently, | 0:25:12 | 0:25:15 | |
these folk did their job using brain power alone. | 0:25:15 | 0:25:20 | |
But that's all changing. | 0:25:20 | 0:25:21 | |
New automated algorithms have started to take on | 0:25:21 | 0:25:24 | |
some of that responsibility for guiding the planes in our skies. | 0:25:24 | 0:25:28 | |
The equipment now is talking to the aircraft, | 0:25:30 | 0:25:33 | |
and so whereas before the human was reacting with the human, | 0:25:33 | 0:25:36 | |
and, obviously, there are sometimes mistakes made, | 0:25:36 | 0:25:39 | |
the computers can now double-check that interaction | 0:25:39 | 0:25:41 | |
and provide a warning to the controller if anything is amiss. | 0:25:41 | 0:25:45 | |
Equally, in terms of capacity, | 0:25:45 | 0:25:47 | |
because it's reduced the amount of workload for the controller, | 0:25:47 | 0:25:50 | |
we've seen capacity about 40% increase on some sectors, | 0:25:50 | 0:25:52 | |
because the computers are doing | 0:25:52 | 0:25:54 | |
some of the logical calculations and thinking | 0:25:54 | 0:25:56 | |
on behalf of the human being. | 0:25:56 | 0:25:57 | |
I think logics are really crucial as a tool for reasoning | 0:26:00 | 0:26:04 | |
about the systems we use in our modern world. | 0:26:04 | 0:26:07 | |
We are surrounded by these complex systems like air-traffic control, | 0:26:07 | 0:26:11 | |
railway signalling, the electricity grid. | 0:26:11 | 0:26:14 | |
I think it's really important that we raise the next generation | 0:26:21 | 0:26:24 | |
of users of these systems so that they know it's not magic, | 0:26:24 | 0:26:29 | |
they also know that they have the tools of logic | 0:26:29 | 0:26:32 | |
to understand and reason about the systems | 0:26:32 | 0:26:34 | |
that they depend on crucially every single day of their lives. | 0:26:34 | 0:26:38 | |
Back at the International Olympiad of Informatics, | 0:26:42 | 0:26:44 | |
it's day two of the contest. | 0:26:44 | 0:26:47 | |
The judges are looking for programs to do logic | 0:26:47 | 0:26:49 | |
that aren't just right, they have to be FAST. | 0:26:49 | 0:26:53 | |
So, if you have an algorithm that is technically correct | 0:26:53 | 0:26:56 | |
but will take 100 million years to run, then you would score no points. | 0:26:56 | 0:27:00 | |
If you have an algorithm that solves the same problem | 0:27:00 | 0:27:03 | |
and runs in, say, five seconds, then you can score much higher points. | 0:27:03 | 0:27:07 | |
I think the simpler an argument is, the more beautiful it is. | 0:27:08 | 0:27:12 | |
So, if it can be expressed in perhaps just ten words, | 0:27:12 | 0:27:16 | |
that argument would be pretty neat. | 0:27:16 | 0:27:19 | |
'The competition has finished. Thank you very much for your patience.' | 0:27:20 | 0:27:24 | |
It's an anxious wait for the final ranking. | 0:27:27 | 0:27:30 | |
I think this competition is, in all its geeky glory, an amazing event. | 0:27:32 | 0:27:38 | |
With the ability to implement their problem-solving talents | 0:27:38 | 0:27:41 | |
in the language of computing, | 0:27:41 | 0:27:43 | |
these kids are going to be the future of all things logical. | 0:27:43 | 0:27:48 | |
'The first-place winner of IOI is... | 0:27:48 | 0:27:52 | |
'Lijie Chen from China.' | 0:27:52 | 0:27:54 | |
CHEERING AND APPLAUSE | 0:27:54 | 0:27:59 | |
In the end, it's a Chinese one, two, three. | 0:27:59 | 0:28:02 | |
'It's lucky the Brisbane competitors didn't have this problem to solve. | 0:28:08 | 0:28:13 | |
'It's one that no logical algorithm can cope with.' | 0:28:13 | 0:28:17 | |
All I want to know is, what do you think? | 0:28:17 | 0:28:19 | |
Is this sentence true or false? | 0:28:19 | 0:28:21 | |
Is it true or false? | 0:28:21 | 0:28:23 | |
You can have this if it's false. | 0:28:23 | 0:28:24 | |
'The point is, if the sentence is false, then it's true. | 0:28:26 | 0:28:30 | |
'But if it's true, then it must be false. | 0:28:30 | 0:28:33 | |
'It's a paradox.' | 0:28:33 | 0:28:35 | |
But if it's false, it's true. | 0:28:35 | 0:28:37 | |
'My sign is inspired by the first known logical paradox, | 0:28:37 | 0:28:40 | |
'from around 600 BC, by the Cretan Epimenides of Knossos.' | 0:28:40 | 0:28:45 | |
Well, if you read the sentence that this sentence is false, | 0:28:45 | 0:28:49 | |
as its true meaning, then, yes, it is false. | 0:28:49 | 0:28:52 | |
'Epimenides wrote, "All Cretans are liars," | 0:28:52 | 0:28:56 | |
'but he was a Cretan - so was he lying? | 0:28:56 | 0:28:58 | |
'If so, then all Cretans aren't liars, | 0:28:58 | 0:29:01 | |
'in which case, he would be telling the truth.' | 0:29:01 | 0:29:05 | |
It's a paradox. | 0:29:05 | 0:29:07 | |
A paradox! Well done! | 0:29:07 | 0:29:09 | |
'Paradoxes are fundamental contradictions | 0:29:09 | 0:29:12 | |
'that logicians have puzzled over for centuries. | 0:29:12 | 0:29:15 | |
'They've been described as | 0:29:15 | 0:29:16 | |
' "Truth standing on her head to get attention" - | 0:29:16 | 0:29:19 | |
'and for good reason. | 0:29:19 | 0:29:22 | |
'In the late 19th Century,' | 0:29:22 | 0:29:24 | |
round about the same time that George Boole was developing | 0:29:24 | 0:29:27 | |
logical deduction as a branch of mathematics, | 0:29:27 | 0:29:29 | |
paradoxes exactly like this became a really deadly serious matter. | 0:29:29 | 0:29:34 | |
In fact, they came to threaten | 0:29:34 | 0:29:36 | |
the very foundation of mathematics itself. | 0:29:36 | 0:29:39 | |
The Austrian capital, Vienna, | 0:29:50 | 0:29:52 | |
renowned for its music, elegance, legendary cafes and exquisite cakes. | 0:29:52 | 0:29:58 | |
But, at the turn of the 20th Century, | 0:30:00 | 0:30:02 | |
it was also THE place to be if you were interested in logic. | 0:30:02 | 0:30:06 | |
Despite its grace and gentility, | 0:30:08 | 0:30:11 | |
Vienna can lay justifiable claim, perhaps more than any other city, | 0:30:11 | 0:30:15 | |
to being the birthplace of the modern. | 0:30:15 | 0:30:17 | |
For it was here in art, design, philosophy, | 0:30:17 | 0:30:21 | |
science and psychology, that people most boldly challenged | 0:30:21 | 0:30:24 | |
the tired conventions and assumptions of the 19th Century. | 0:30:24 | 0:30:28 | |
But what was "modern"? | 0:30:31 | 0:30:33 | |
Was it about replacing religion and tradition | 0:30:33 | 0:30:35 | |
with logical empiricism and pure reason? | 0:30:35 | 0:30:38 | |
Or was it about admitting to a new uncertainty - | 0:30:38 | 0:30:41 | |
the limits of our perceptions | 0:30:41 | 0:30:43 | |
and the moral vacuum of the Freudian subconscious? | 0:30:43 | 0:30:46 | |
Until this point, it could be argued | 0:30:47 | 0:30:49 | |
that logic wasn't exactly a topic on everybody's mind | 0:30:49 | 0:30:53 | |
but, here, it was at the forefront of this titanic clash. | 0:30:53 | 0:30:57 | |
From the city's coffee houses to the University of Vienna itself, | 0:30:59 | 0:31:03 | |
the struggle for modernity played out. | 0:31:03 | 0:31:05 | |
In 1894, the university commissioned a great ceiling painting | 0:31:07 | 0:31:10 | |
for their ceremonial hall. | 0:31:10 | 0:31:12 | |
The theme was "The Victory Of Light Over Darkness", | 0:31:12 | 0:31:15 | |
and it had separate panels celebrating the great achievements | 0:31:15 | 0:31:19 | |
of the university's faculties of jurisprudence, | 0:31:19 | 0:31:21 | |
of medicine and of philosophy. | 0:31:21 | 0:31:24 | |
Given the subject matter, it was perhaps unfortunate | 0:31:24 | 0:31:27 | |
that the artist they commissioned for these paintings | 0:31:27 | 0:31:30 | |
was Gustav Klimt. | 0:31:30 | 0:31:31 | |
In 1900, he presented them with Philosophy, | 0:31:35 | 0:31:39 | |
a depiction of naked men and women drifting trance-like in empty voids. | 0:31:39 | 0:31:44 | |
It expressed anything but victory, certainty or optimism. | 0:31:44 | 0:31:48 | |
Klimt's proto-modernist vision of philosophy | 0:31:50 | 0:31:53 | |
was shocking to the people of Vienna, | 0:31:53 | 0:31:55 | |
and deeply unsettling to the professors at the university. | 0:31:55 | 0:31:59 | |
He was attacking everything they stood for, | 0:32:00 | 0:32:03 | |
and Klimt's paintings were rejected outright. | 0:32:03 | 0:32:06 | |
Hidden away for 40 years, | 0:32:11 | 0:32:13 | |
the original works were destroyed by the Nazis. | 0:32:13 | 0:32:16 | |
These replicas were finally installed | 0:32:16 | 0:32:18 | |
on the centenary of their rejection. | 0:32:18 | 0:32:20 | |
Klimt's dark vision had seriously offended | 0:32:22 | 0:32:25 | |
the growing academic aspiration, | 0:32:25 | 0:32:27 | |
that science and mathematics would provide us with complete knowledge, | 0:32:27 | 0:32:30 | |
founded on absolute, provable truth. | 0:32:30 | 0:32:34 | |
This was something it was hoped logic could provide. | 0:32:35 | 0:32:39 | |
In mathematics, this problem of definitive truth, | 0:32:40 | 0:32:43 | |
of certainty, had recently become all too real. | 0:32:43 | 0:32:47 | |
No-one yet had proven the most basic rules of mathematics. | 0:32:47 | 0:32:52 | |
Those rules might say that 1 + 2 is 3. | 0:32:52 | 0:32:55 | |
But, without proof, that they will never lead to a contradiction, | 0:32:55 | 0:32:59 | |
you can never say for sure that 1 + 2 might not also equal 20. | 0:32:59 | 0:33:03 | |
Or anything else for that matter. | 0:33:03 | 0:33:07 | |
In the grip of uncertainty, a logic fever took hold. | 0:33:07 | 0:33:11 | |
Boole's logic had already been adopted | 0:33:13 | 0:33:15 | |
by the greatest logicians of the day, but there was a problem. | 0:33:15 | 0:33:19 | |
His method was simply insufficient to describe all of maths. | 0:33:19 | 0:33:23 | |
The race was on for a new, and more complex, logic. | 0:33:24 | 0:33:28 | |
Over 20 years earlier, | 0:33:30 | 0:33:32 | |
a German mathematician called Gottlob Frege | 0:33:32 | 0:33:34 | |
had studied exactly this problem. | 0:33:34 | 0:33:36 | |
Frege's work ensured that logic was up to this search for certainty | 0:33:36 | 0:33:40 | |
which was unfolding right here. | 0:33:40 | 0:33:42 | |
# If I had it in my power... # | 0:33:44 | 0:33:48 | |
It was in Jena, Germany, in the late 19th Century | 0:33:49 | 0:33:53 | |
that Gottlob Frege opened a new chapter in the story of logic. | 0:33:53 | 0:33:57 | |
For him, there should be nothing - whether numbers or ideas - | 0:33:57 | 0:34:01 | |
that could not be described and analysed | 0:34:01 | 0:34:04 | |
using his new logical quantifiers. | 0:34:04 | 0:34:07 | |
# Everybody loves somebody sometime... # | 0:34:07 | 0:34:10 | |
So, with his new mathematical logic, | 0:34:10 | 0:34:13 | |
he could express ideas like, "Everybody loves Frege", | 0:34:13 | 0:34:17 | |
"Everybody loves somebody", | 0:34:17 | 0:34:20 | |
"There is somebody whom everybody loves", | 0:34:20 | 0:34:23 | |
"There is somebody whom no-one loves", | 0:34:23 | 0:34:27 | |
and, alas, "There is somebody whom Frege does not love". | 0:34:27 | 0:34:32 | |
# If I had it in my power... # | 0:34:32 | 0:34:35 | |
That somebody whom Frege probably did not love | 0:34:36 | 0:34:39 | |
was British philosopher Bertrand Russell, | 0:34:39 | 0:34:41 | |
who independently was engaged in exactly the same project - | 0:34:41 | 0:34:45 | |
using logic to firm up the foundations of mathematics. | 0:34:45 | 0:34:49 | |
In 1902, Frege was just days | 0:34:49 | 0:34:52 | |
from publishing the second volume of his magnum opus on logic | 0:34:52 | 0:34:56 | |
when he received a letter from Russell - | 0:34:56 | 0:34:59 | |
and it was the kind of letter any logician dreads receiving. | 0:34:59 | 0:35:03 | |
Russell had spotted a big problem. | 0:35:05 | 0:35:08 | |
Both men's logic relied | 0:35:08 | 0:35:10 | |
on consistently describing sets of things. | 0:35:10 | 0:35:13 | |
You can have the set of all even numbers. | 0:35:13 | 0:35:15 | |
Or, for that matter. the set of all mums, or the set of all dogs. | 0:35:15 | 0:35:21 | |
Almost all sets aren't members of themselves. | 0:35:21 | 0:35:25 | |
The set of dogs isn't itself a dog. | 0:35:25 | 0:35:28 | |
So, if you take the dog set | 0:35:28 | 0:35:30 | |
and bundle it up together with all the other ones like it, | 0:35:30 | 0:35:33 | |
you get the set containing all sets that are not members of themselves. | 0:35:33 | 0:35:39 | |
But this is the set of all sets | 0:35:39 | 0:35:41 | |
that DON'T contain themselves, | 0:35:41 | 0:35:43 | |
and it DOESN'T contain itself. | 0:35:43 | 0:35:45 | |
So this set SHOULD include itself. | 0:35:45 | 0:35:48 | |
But then, if it DOES, then this is no longer | 0:35:48 | 0:35:51 | |
the "set of all sets that DON'T contain themselves". | 0:35:51 | 0:35:54 | |
So, it CAN'T be part of itself. | 0:35:54 | 0:35:56 | |
It's one of those logical paradoxes. | 0:35:59 | 0:36:02 | |
Frege immediately wrote back to Russell. | 0:36:03 | 0:36:05 | |
"Dear colleague. Your discovery of the contradiction | 0:36:05 | 0:36:08 | |
"has surprised me beyond words and, I should almost like to say, | 0:36:08 | 0:36:12 | |
"left me thunderstruck, because it has rocked the ground | 0:36:12 | 0:36:15 | |
"on which I meant to build arithmetic. | 0:36:15 | 0:36:18 | |
"Your discovery is, at any rate, a very remarkable one, | 0:36:18 | 0:36:21 | |
"and it may perhaps lead to a great advance in logic, | 0:36:21 | 0:36:24 | |
"undesirable as it may seem at first sight." | 0:36:24 | 0:36:27 | |
Russell now took on Frege's project with an even greater zeal, | 0:36:29 | 0:36:33 | |
to develop an even more outrageously complex logic | 0:36:33 | 0:36:36 | |
that would get round this problem with sets, | 0:36:36 | 0:36:39 | |
and so be free of paradox. | 0:36:39 | 0:36:42 | |
After nine years of toil, | 0:36:42 | 0:36:44 | |
the monumental Principia Mathematica was published. | 0:36:44 | 0:36:48 | |
It took over 360 pages to logically prove | 0:36:48 | 0:36:53 | |
that 1 + 1 = 2. | 0:36:53 | 0:36:55 | |
CHEERING, APPLAUSE, FIREWORKS POP | 0:36:55 | 0:36:57 | |
It was never going to a best-seller, | 0:36:57 | 0:36:59 | |
but, here, it had a huge impact. | 0:36:59 | 0:37:02 | |
It was magnificent, a whopping great bucketload of logical concrete | 0:37:03 | 0:37:07 | |
poured right into the foundations of mathematics. | 0:37:07 | 0:37:11 | |
Definitely a triumph, not a trauma, for philosophy. | 0:37:11 | 0:37:14 | |
But the final word on logic would not come from Bertrand Russell. | 0:37:21 | 0:37:25 | |
It was here that that project came to a dramatic conclusion, | 0:37:30 | 0:37:34 | |
centred on a group of thinkers called the "Vienna Circle". | 0:37:34 | 0:37:37 | |
They were firmly pro-logic. | 0:37:40 | 0:37:44 | |
For them, Russell's Principia Mathematica was manna from heaven. | 0:37:44 | 0:37:48 | |
The Vienna Circle had people who inspired them, | 0:37:48 | 0:37:52 | |
they were their idols. | 0:37:52 | 0:37:53 | |
One was Albert Einstein, one was Bertrand Russell. | 0:37:53 | 0:37:57 | |
And these were the most prominent scientists of the day. | 0:37:57 | 0:38:02 | |
Their interest shifted almost imperceptibly at first | 0:38:14 | 0:38:18 | |
from the foundations of physics to the foundations of mathematics | 0:38:18 | 0:38:24 | |
and to logic. | 0:38:24 | 0:38:25 | |
It came almost against their will | 0:38:25 | 0:38:28 | |
that this became the most prominent topic of the Vienna Circle. | 0:38:28 | 0:38:34 | |
Once every two weeks, they would meet here, in this actual room. | 0:38:37 | 0:38:42 | |
It's now a working physics lab | 0:38:47 | 0:38:50 | |
but, when they met here, they had one aim | 0:38:50 | 0:38:52 | |
and that was to purge philosophy | 0:38:52 | 0:38:54 | |
of anything that was neither directly observable | 0:38:54 | 0:38:57 | |
through scientific experiment, or derivable through the laws of logic. | 0:38:57 | 0:39:01 | |
This logical analysis of the meaning | 0:39:03 | 0:39:07 | |
was an essential first step. | 0:39:07 | 0:39:09 | |
Therefore, it was forbidden to talk about | 0:39:09 | 0:39:13 | |
such concepts like God, for instance, | 0:39:13 | 0:39:17 | |
or metaphysical statements. | 0:39:17 | 0:39:20 | |
about thinking itself or whatever, | 0:39:20 | 0:39:23 | |
because you could never find a sentence | 0:39:23 | 0:39:26 | |
that could be verified in a scientific way. | 0:39:26 | 0:39:29 | |
In fact, the Vienna Circle loathed the idea of metaphysics so much | 0:39:29 | 0:39:34 | |
that when they met here, Rudolf Carnap, a former pupil of Frege, | 0:39:34 | 0:39:39 | |
appointed someone to shout "M!"... | 0:39:39 | 0:39:41 | |
M! | 0:39:41 | 0:39:42 | |
..during their discussions, at the hint of any illegitimate sentence. | 0:39:42 | 0:39:47 | |
M stands for metaphysics. | 0:39:47 | 0:39:48 | |
M! | 0:39:48 | 0:39:50 | |
It's the logician's equivalent of saying, "Bollocks!" | 0:39:50 | 0:39:54 | |
Now the thing is, he was saying "M!" so much... | 0:39:54 | 0:39:57 | |
M! | 0:39:57 | 0:39:58 | |
..that they got sick of it. | 0:39:58 | 0:40:00 | |
Instead, they had him shout "Non-M" | 0:40:00 | 0:40:03 | |
any time that someone actually said something that was legitimate. | 0:40:03 | 0:40:06 | |
Nicht M! | 0:40:06 | 0:40:07 | |
Despite the purity of their logical methods, | 0:40:09 | 0:40:12 | |
the problem of uncertainty that had plagued logic, | 0:40:12 | 0:40:16 | |
likewise stalked the Vienna Circle. | 0:40:16 | 0:40:18 | |
Something that may have also imprinted | 0:40:19 | 0:40:23 | |
this young generation of Austrian scientists | 0:40:23 | 0:40:26 | |
was a scandal that happened in 1913 | 0:40:26 | 0:40:30 | |
when it was discovered that the head, practically, | 0:40:30 | 0:40:34 | |
of the Counter Espionage Service was a spy. | 0:40:34 | 0:40:37 | |
And, you see, the task of a counter-spy service | 0:40:37 | 0:40:43 | |
is actually to make sure that there are no spies around. | 0:40:43 | 0:40:47 | |
But what happens when the head of that organisation is a spy himself? | 0:40:47 | 0:40:52 | |
This is a fundamental uncertainty. | 0:40:52 | 0:40:55 | |
Yes, yes, the secret service can work very well, | 0:40:55 | 0:40:58 | |
but can you be sure that the secret service is not infected? | 0:40:58 | 0:41:02 | |
And something similar is happening in mathematics. | 0:41:02 | 0:41:06 | |
You make sure that there exists no contradictions, | 0:41:06 | 0:41:11 | |
you build up big walls against uncertainty or so, | 0:41:11 | 0:41:15 | |
but maybe, within these big walls, there is a contradiction sitting. | 0:41:15 | 0:41:20 | |
Contradiction bothered one man more than most. Kurt Godel. | 0:41:22 | 0:41:27 | |
Kurt Godel was the most reclusive member of the Vienna Circle. | 0:41:29 | 0:41:33 | |
He'd had the finest logical training that you could imagine. | 0:41:33 | 0:41:37 | |
It was in one of Vienna's famed coffee houses, in August 1930, | 0:41:40 | 0:41:45 | |
that 24-year-old Godel first revealed a discovery | 0:41:45 | 0:41:48 | |
that would end, for ever, the logical quest | 0:41:48 | 0:41:52 | |
that Frege, Russell and the like had set themselves. | 0:41:52 | 0:41:55 | |
Godel was one of the few who definitely had read | 0:41:57 | 0:42:00 | |
all of Russell's Principia. | 0:42:00 | 0:42:03 | |
He knew that, for any logical system to be the foundation of mathematics, | 0:42:03 | 0:42:07 | |
it had to be both complete and consistent. | 0:42:07 | 0:42:10 | |
Godel told Carnap that, by studying the Principia, | 0:42:12 | 0:42:15 | |
he had come to the conclusion that, in any logical system, | 0:42:15 | 0:42:19 | |
you could either be consistent or complete, | 0:42:19 | 0:42:22 | |
but you couldn't have both at the same time. | 0:42:22 | 0:42:25 | |
In Russell's masterpiece, | 0:42:25 | 0:42:27 | |
Godel had discovered a contradiction | 0:42:27 | 0:42:29 | |
that became known as "incompleteness". | 0:42:29 | 0:42:33 | |
This means that, in mathematical logic, | 0:42:33 | 0:42:36 | |
there are going to be some truths which, although true, | 0:42:36 | 0:42:39 | |
can never be proven to be so. | 0:42:39 | 0:42:42 | |
This result of Kurt Godel | 0:42:42 | 0:42:44 | |
about the limitations of mathematics and logics | 0:42:44 | 0:42:49 | |
was a terrible blow to the optimism of the Vienna Circle, | 0:42:49 | 0:42:54 | |
and some of the members took a long time to come to grips with it. | 0:42:54 | 0:42:59 | |
The grand search for "absolute, provable truth" | 0:43:00 | 0:43:04 | |
had hit the buffers. | 0:43:04 | 0:43:06 | |
By the mid-1930s, the Vienna Circle was over. | 0:43:10 | 0:43:13 | |
The rise of fascism and the looming threat of war | 0:43:14 | 0:43:17 | |
meant its members fled, | 0:43:17 | 0:43:19 | |
were expelled, or killed. | 0:43:19 | 0:43:22 | |
Kurt Godel left Vienna for Princeton, | 0:43:22 | 0:43:24 | |
where his own search for certainty also came to a tragic end. | 0:43:24 | 0:43:29 | |
Godel became convinced that someone might try to poison him. | 0:43:32 | 0:43:36 | |
The only person that he would trust to cook | 0:43:36 | 0:43:38 | |
and, indeed, to taste his food was his wife. | 0:43:38 | 0:43:42 | |
And when she fell ill and was hospitalised, he starved. | 0:43:42 | 0:43:46 | |
He literally reasoned himself to death. | 0:43:47 | 0:43:50 | |
The fact that all systems of mathematical logic were limited, | 0:43:57 | 0:44:01 | |
that we could never have complete certainty, | 0:44:01 | 0:44:04 | |
signalled the end of an era for logic. | 0:44:04 | 0:44:07 | |
But for one British logician, Alan Turing, | 0:44:09 | 0:44:12 | |
Godel's work was the inspiration he needed to launch, | 0:44:12 | 0:44:16 | |
inadvertently, a new and entirely more practical logic revolution. | 0:44:16 | 0:44:22 | |
Alan Turing was just 23 years old | 0:44:26 | 0:44:29 | |
when he imagined something extraordinary. | 0:44:29 | 0:44:32 | |
He called it a "universal machine". | 0:44:32 | 0:44:35 | |
The universal machine is an entirely imaginary, hypothetical device, | 0:44:36 | 0:44:41 | |
and yet, it's one of the most influential machines ever | 0:44:41 | 0:44:45 | |
in human history. | 0:44:45 | 0:44:46 | |
The device Turing imagined could tackle any mathematical problem | 0:44:48 | 0:44:52 | |
using a logical algorithm encoded in its own limitless memory. | 0:44:52 | 0:44:57 | |
In 1936, Alan Turing published a paper in which he demonstrated... | 0:44:57 | 0:45:02 | |
He proved that you couldn't decide beforehand | 0:45:02 | 0:45:06 | |
which mathematical problems the machine would be able to solve, | 0:45:06 | 0:45:09 | |
and which would just cause it to run on and on and on for ever. | 0:45:09 | 0:45:12 | |
That there are some problems that are simply "uncomputable" | 0:45:12 | 0:45:16 | |
was startling, and yet another blow for mathematics. | 0:45:16 | 0:45:20 | |
But it was also the beginning of something entirely unexpected | 0:45:20 | 0:45:24 | |
and destined to cement logic's role in the modern world. | 0:45:24 | 0:45:29 | |
It's an extraordinary, almost exquisite, paradox | 0:45:30 | 0:45:34 | |
that, in demonstrating that some things can't be proved | 0:45:34 | 0:45:37 | |
using a logical machine, what Alan Turing did | 0:45:37 | 0:45:41 | |
almost single-handedly launched a technology revolution. | 0:45:41 | 0:45:45 | |
Turing's universal machine is what we today call the "computer". | 0:45:45 | 0:45:51 | |
While stationed here at Bletchley Park, during the Second World War, | 0:45:52 | 0:45:57 | |
Turing began to implement his abstract ideas | 0:45:57 | 0:45:59 | |
as real logical hardware. | 0:45:59 | 0:46:03 | |
Working with Gordon Welchman, | 0:46:03 | 0:46:05 | |
Turing developed this machine, it's called the "Bombe". | 0:46:05 | 0:46:09 | |
THE BOMBE WHIRRS AND CLICKS | 0:46:09 | 0:46:11 | |
It's a bit loud! | 0:46:11 | 0:46:13 | |
It's a form of electromechanical computer, | 0:46:13 | 0:46:16 | |
and its logical function was to decode the messages | 0:46:16 | 0:46:19 | |
that the Germans were sending, using their Enigma encryption machines. | 0:46:19 | 0:46:24 | |
But then Turing's colleague, Tommy Flowers, went a step further. | 0:46:28 | 0:46:33 | |
This is Colossus. | 0:46:38 | 0:46:41 | |
It was built to crack another German encryption machine | 0:46:41 | 0:46:43 | |
called the Lorenz, | 0:46:43 | 0:46:45 | |
and, for the men and women who built and operated it, | 0:46:45 | 0:46:48 | |
it was an astonishing achievement. | 0:46:48 | 0:46:49 | |
It shortened the war. | 0:46:49 | 0:46:51 | |
But I think it's special for another reason. | 0:46:52 | 0:46:55 | |
You see, this is the world's first programmable electronic computer. | 0:46:55 | 0:47:01 | |
It used digital information - binary - | 0:47:01 | 0:47:03 | |
the streams of 1s and 0s that are in all modern computers. | 0:47:03 | 0:47:06 | |
And these vacuum tubes down here, | 0:47:06 | 0:47:09 | |
they're wired together to be our Boolean logic gates, | 0:47:09 | 0:47:11 | |
which perform Boolean operations and calculations. | 0:47:11 | 0:47:15 | |
Colossus might not look hi tech to us, | 0:47:17 | 0:47:20 | |
but it's hard to express just how important it was. | 0:47:20 | 0:47:24 | |
This significance of all this, as a piece of human engineering, | 0:47:27 | 0:47:30 | |
is on a par with the Pyramids, | 0:47:30 | 0:47:32 | |
or the printing press or steam power, | 0:47:32 | 0:47:35 | |
and yet it was all top secret. | 0:47:35 | 0:47:38 | |
All these developments of electronic programmable computers | 0:47:38 | 0:47:41 | |
here at Bletchley Park were classified | 0:47:41 | 0:47:44 | |
and the details were only declassified in the late 1970s. | 0:47:44 | 0:47:48 | |
After the war, Turing went on to help build | 0:47:51 | 0:47:53 | |
some of the world's first stored-program computers. | 0:47:53 | 0:47:58 | |
At their core, it all comes back to logical reasoning. | 0:47:58 | 0:48:01 | |
Think about this, we're all surrounded by things | 0:48:08 | 0:48:11 | |
that rely on some kind of logical machine or code. | 0:48:11 | 0:48:15 | |
The failure of logic | 0:48:15 | 0:48:16 | |
to deliver foundational answers for mathematics | 0:48:16 | 0:48:20 | |
nonetheless gave rise to one of the most significant achievements | 0:48:20 | 0:48:24 | |
in all of science and engineering. | 0:48:24 | 0:48:26 | |
It started with those huge, secret, single-purpose computers, | 0:48:29 | 0:48:33 | |
and yet, right from the very beginning, | 0:48:33 | 0:48:35 | |
some folk were already imagining the next big thing. | 0:48:35 | 0:48:39 | |
'We're still finding out what Logics will do, | 0:48:41 | 0:48:43 | |
'but everybody's got 'em. | 0:48:43 | 0:48:45 | |
'You got a Logic in your house. | 0:48:45 | 0:48:47 | |
'It looks like a vision receiver used to, | 0:48:47 | 0:48:50 | |
'only it's got keys instead of dials | 0:48:50 | 0:48:52 | |
'and you punch the keys for what you want to get...' | 0:48:52 | 0:48:55 | |
In 1946, science fiction writer Murray Leinster imagined | 0:48:57 | 0:49:02 | |
an impressive specimen of interconnected technology. | 0:49:02 | 0:49:06 | |
He named it a Logic. | 0:49:06 | 0:49:08 | |
'Relays in the tank take over and whatever vision-program | 0:49:08 | 0:49:12 | |
'SNAFU is telecasting comes on your Logic's screen. | 0:49:12 | 0:49:16 | |
'Or you punch "Sally Hancock's Phone" | 0:49:16 | 0:49:19 | |
'and you're hooked up with the Logic in her house. | 0:49:19 | 0:49:23 | |
'Also, it does math for you, and keeps books, | 0:49:23 | 0:49:25 | |
'and acts as consulting chemist, physicist, astronomer | 0:49:25 | 0:49:28 | |
'and tea-leaf reader, with an "Advice To Lovelorn" thrown in. | 0:49:28 | 0:49:32 | |
'It's very convenient.' | 0:49:33 | 0:49:35 | |
Well, that's extraordinary! | 0:49:37 | 0:49:39 | |
It's a great characterisation of the web that wasn't yet born! | 0:49:39 | 0:49:43 | |
The digital world we live in, the computers that surround us, | 0:49:55 | 0:49:58 | |
at their base, are running Boolean logic. | 0:49:58 | 0:50:02 | |
I mean, they're running actually electrical currents, | 0:50:02 | 0:50:04 | |
1s and 0s are the product of those electrical currents, | 0:50:04 | 0:50:07 | |
but on top of that, there are layers on layers on layers of complexity - | 0:50:07 | 0:50:11 | |
operating systems, machine code, | 0:50:11 | 0:50:14 | |
applications that we use every day, | 0:50:14 | 0:50:16 | |
from word processors to spreadsheets, | 0:50:16 | 0:50:19 | |
to the browsers we use. And, when you have your Skype conversation | 0:50:19 | 0:50:22 | |
with your aunt in Australia, you don't think of that interaction | 0:50:22 | 0:50:25 | |
in terms of those 1s and 0s but, without them, | 0:50:25 | 0:50:28 | |
without the underlying processing, none of this would work. | 0:50:28 | 0:50:32 | |
Not only did logic launch the digital revolution, | 0:50:33 | 0:50:36 | |
but it's also the tool we use to sort, | 0:50:36 | 0:50:39 | |
search and retrieve the information we want online. | 0:50:39 | 0:50:44 | |
The World Wide Web we have today | 0:50:44 | 0:50:46 | |
represents the largest information construct humanity has ever created. | 0:50:46 | 0:50:50 | |
It's 20 years old, barely, | 0:50:50 | 0:50:52 | |
and yet we have billions and billions of pages | 0:50:52 | 0:50:56 | |
encapsulating knowledge and information | 0:50:56 | 0:50:58 | |
from all of human culture and all of human history. | 0:50:58 | 0:51:02 | |
The challenge is to organise this mass of information, | 0:51:03 | 0:51:06 | |
this complexity, | 0:51:06 | 0:51:07 | |
and logic gives us some of the perfect tools to do that. | 0:51:07 | 0:51:10 | |
With the World Wide Web of information, | 0:51:14 | 0:51:17 | |
logic means we're all more interconnected and informed. | 0:51:17 | 0:51:21 | |
But, back in the City, the march of logical machines has come at a cost, | 0:51:21 | 0:51:25 | |
and I don't mean all the traders are spending too much time on Facebook. | 0:51:25 | 0:51:30 | |
In the year that I was born, | 0:51:30 | 0:51:32 | |
there were 22 separate stock exchanges in the UK, | 0:51:32 | 0:51:35 | |
and THIS is how business was done. | 0:51:35 | 0:51:37 | |
Now, this place, the London Metal Exchange, | 0:51:38 | 0:51:41 | |
is the last venue where traders still go face to face. | 0:51:41 | 0:51:44 | |
First, technology squeezed out the need for traders to meet in person. | 0:51:48 | 0:51:53 | |
And now it's the traders themselves who may be heading for extinction. | 0:51:53 | 0:51:56 | |
Not long after I wrote it, | 0:51:58 | 0:52:00 | |
IBM did some tests of the ZIP trading algorithm, | 0:52:00 | 0:52:04 | |
and not only did they confirm that it worked, | 0:52:04 | 0:52:06 | |
they showed that it out-performed human traders. | 0:52:06 | 0:52:09 | |
When it comes to pure logical reasoning, | 0:52:16 | 0:52:18 | |
the computers tend to beat us, hands down. | 0:52:18 | 0:52:20 | |
It's an old adage, | 0:52:22 | 0:52:24 | |
but people in this business joke | 0:52:24 | 0:52:26 | |
that soon the only things you'll find on a trading floor | 0:52:26 | 0:52:29 | |
will be a big computer, a man and a dog. | 0:52:29 | 0:52:34 | |
The big computer is there to do all the trading. | 0:52:35 | 0:52:39 | |
The dog's there to make sure that no-one touches the computer. | 0:52:39 | 0:52:43 | |
And the man's job? | 0:52:43 | 0:52:45 | |
On the trading floor of the future, | 0:52:45 | 0:52:46 | |
the man's job is to feed the dog. | 0:52:46 | 0:52:49 | |
Mind you, despite my role in inventing these black boxes, | 0:52:54 | 0:52:57 | |
I'm grateful that there's still a human around | 0:52:57 | 0:53:00 | |
to pull the plug sometimes. | 0:53:00 | 0:53:01 | |
DOG BARKS | 0:53:01 | 0:53:03 | |
The thing is, computers still need | 0:53:03 | 0:53:05 | |
their logical algorithms to be written for them, | 0:53:05 | 0:53:08 | |
so they might take our jobs, but we still have the upper hand. | 0:53:08 | 0:53:13 | |
Yet, ever since their invention, | 0:53:13 | 0:53:15 | |
the question as to whether this will always be the case | 0:53:15 | 0:53:18 | |
has been a matter of fierce debate. | 0:53:18 | 0:53:21 | |
When the digital revolution was in its infancy, | 0:53:28 | 0:53:31 | |
the possibility of computers developing human-like intelligence | 0:53:31 | 0:53:35 | |
was the hottest topic in town. | 0:53:35 | 0:53:38 | |
Could a machine ever think, using the rules of logic alone? | 0:53:38 | 0:53:43 | |
Or is there more to US than that? | 0:53:43 | 0:53:45 | |
In 1950, Alan Turing published another visionary essay. | 0:53:47 | 0:53:51 | |
In it, he predicted that, by the end of the century, | 0:53:51 | 0:53:54 | |
a computer would be able to converse with a human, | 0:53:54 | 0:53:57 | |
and the human wouldn't know the difference. | 0:53:57 | 0:53:59 | |
In trying to achieve this, | 0:54:01 | 0:54:02 | |
people in my field have created some truly amazing computing machines. | 0:54:02 | 0:54:07 | |
This is my university's supercomputer. | 0:54:10 | 0:54:14 | |
Although it's bigger and noisier than Colossus, | 0:54:14 | 0:54:17 | |
for every one Lorenz cipher that machine could solve, | 0:54:17 | 0:54:21 | |
this can solve over 2 million. | 0:54:21 | 0:54:23 | |
It's takes up the whole room! | 0:54:25 | 0:54:26 | |
Machines like this are the workhorses | 0:54:28 | 0:54:31 | |
of today's data-centric research. | 0:54:31 | 0:54:33 | |
All the switches, wires and logic gates | 0:54:33 | 0:54:35 | |
have long since disappeared under the hood | 0:54:35 | 0:54:38 | |
meaning that, for TV, we have a habit of trying to pretend | 0:54:38 | 0:54:41 | |
that this doesn't all look like a load of... | 0:54:41 | 0:54:44 | |
well, cupboards. | 0:54:44 | 0:54:46 | |
Or a launderette. | 0:54:47 | 0:54:48 | |
Turing thought that, | 0:54:52 | 0:54:54 | |
by the time we'd developed computers as powerful as this, | 0:54:54 | 0:54:57 | |
we would also be capable of programming a machine | 0:54:57 | 0:55:00 | |
with sufficient rules of logical reasoning | 0:55:00 | 0:55:02 | |
that its intelligence would rival that of us humans. | 0:55:02 | 0:55:06 | |
That was then, and remains now, a very controversial idea. | 0:55:07 | 0:55:11 | |
We like to think of our intelligence as raising us | 0:55:13 | 0:55:17 | |
to a level above the rest of the creation. | 0:55:17 | 0:55:20 | |
We associate it with the idea perhaps of an immaterial soul, | 0:55:20 | 0:55:25 | |
being not just one amongst other animals, but special. | 0:55:25 | 0:55:29 | |
And what Turing was suggesting was that this special quality | 0:55:29 | 0:55:33 | |
could belong to a lump of computing machinery, | 0:55:33 | 0:55:37 | |
and it could reason just as well as we could, | 0:55:37 | 0:55:42 | |
maybe even better. | 0:55:42 | 0:55:44 | |
At Bletchley Park, | 0:55:46 | 0:55:47 | |
Turing had sketched out algorithms for playing chess. | 0:55:47 | 0:55:51 | |
At that time, the chessboard was dominated | 0:55:51 | 0:55:53 | |
by some of the world's most brilliant strategic, | 0:55:53 | 0:55:56 | |
logical, mathematical brains. | 0:55:56 | 0:55:59 | |
And so it became the battle ground | 0:55:59 | 0:56:01 | |
for an entirely new challenge for logic - artificial intelligence. | 0:56:01 | 0:56:06 | |
In 1997, the most famous public battle | 0:56:08 | 0:56:12 | |
between man and machine took place. | 0:56:12 | 0:56:15 | |
Garry Kasparov, the reigning chess world champion, | 0:56:15 | 0:56:18 | |
had previously trounced IBM's chess-playing computer, Deep Blue. | 0:56:18 | 0:56:23 | |
During their rematch, | 0:56:23 | 0:56:25 | |
for the first time ever, he was beaten. | 0:56:25 | 0:56:28 | |
Kasparov has resigned! | 0:56:29 | 0:56:32 | |
APPLAUSE | 0:56:32 | 0:56:33 | |
When I see something that is well beyond my understanding, | 0:56:33 | 0:56:36 | |
I'm scared. And that was something well beyond my understanding. | 0:56:36 | 0:56:41 | |
It was front-page news the world over. | 0:56:41 | 0:56:44 | |
People demanded answers. | 0:56:44 | 0:56:46 | |
Was this purely logical intelligence equivalent, | 0:56:46 | 0:56:49 | |
or even superior, to the human brain? | 0:56:49 | 0:56:52 | |
In the past, people have tended to compare humans | 0:56:53 | 0:56:58 | |
to the latest technology. | 0:56:58 | 0:57:00 | |
So maybe the brain is like a clock, | 0:57:00 | 0:57:02 | |
or maybe it's like a steam engine, | 0:57:02 | 0:57:05 | |
now, maybe it's like an electronic computer. | 0:57:05 | 0:57:08 | |
What Turing would want to say, and, I think, correctly, | 0:57:10 | 0:57:14 | |
is that there's something different | 0:57:14 | 0:57:16 | |
about the equation of the brain with a computer. | 0:57:16 | 0:57:19 | |
He put it that both a brain and a computer | 0:57:20 | 0:57:23 | |
are information processing systems, governed by logical rules. | 0:57:23 | 0:57:27 | |
In theory, there should be logical rules out there | 0:57:29 | 0:57:33 | |
that would capture the way we think. | 0:57:33 | 0:57:36 | |
This was a very big idea, with profound - | 0:57:39 | 0:57:43 | |
even troubling - implications. | 0:57:43 | 0:57:45 | |
If we knew those rules, then one day, theoretically, | 0:57:45 | 0:57:49 | |
we could code a logical rendering of ourselves into a computer. | 0:57:49 | 0:57:54 | |
All we'd need to reproduce all of human thought is logic. | 0:57:54 | 0:57:58 | |
My view is that there remain uniquely human characteristics, | 0:58:00 | 0:58:05 | |
arguably the best ones, like altruism or creativity or love, | 0:58:05 | 0:58:11 | |
that computers aren't even close to having programmed | 0:58:11 | 0:58:14 | |
within their repertoire of logical reasoning. | 0:58:14 | 0:58:17 | |
No-one has yet created a logical machine that's just like us. | 0:58:17 | 0:58:22 | |
And, arguably, that could take a very, very long time, | 0:58:22 | 0:58:25 | |
if indeed it's possible at all. | 0:58:25 | 0:58:27 | |
And yet, surely, we should marvel at what we have achieved with logic. | 0:58:29 | 0:58:34 | |
Remember WE created the rules of logic to pin down the truth | 0:58:34 | 0:58:38 | |
and certainty that otherwise would so easily evade us. | 0:58:38 | 0:58:42 | |
We harnessed logic in machines | 0:58:42 | 0:58:45 | |
and, in doing so, we placed the power of pure reason | 0:58:45 | 0:58:48 | |
at our fingertips. | 0:58:48 | 0:58:49 | |
Mind you, I'm still no good at sudoku... | 0:58:51 | 0:58:54 | |
Subtitles by Red Bee Media Ltd | 0:59:21 | 0:59:24 |