When you're making a deal, what's going on in your brain? | Colin Camerer

186,287 views ・ 2013-03-28

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00:00
Transcriber: Joseph Geni Reviewer: Thu-Huong Ha
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Translator: Maja Budišin Lukin Reviewer: Nika Kotnik
00:12
I'm going to talk about the strategizing brain.
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Govoril bom o strategijah možganov.
Uporabili bomo nenavadno kombinacijo orodij
00:15
We're going to use an unusual combination of tools
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00:17
from game theory and neuroscience
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iz teorije iger in nevroznanosti,
00:19
to understand how people interact socially when value is on the line.
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da bi razumeli komunikacijo v družbi, ko gre za neko vrednost.
00:22
So game theory is a branch of, originally, applied mathematics,
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Teorija iger je izvirno veja uporabne matematike,
00:26
used mostly in economics and political science, a little bit in biology,
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ki se uporablja v ekonomiji, političnih vedah in v biologiji,
daje nam matematično taksonomijo družbenega življenja
00:29
that gives us a mathematical taxonomy of social life,
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00:32
and it predicts what people are likely to do
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in predvideva, kaj ljudje ponavadi počnejo
00:34
and believe others will do
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in verjamejo, da bodo drugi storili
00:36
in cases where everyone's actions affect everyone else.
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v primerih, ko dejanja vsakogar vplivajo na vse druge.
To je veliko stvari: konkurenca, sodelovanje, pogajanje,
00:39
That's a lot of things: competition, cooperation, bargaining,
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00:42
games like hide-and-seek and poker.
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igre, kot so skrivalnice in poker.
00:45
Here's a simple game to get us started.
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Začnimo z eno preprosto igro.
00:47
Everyone chooses a number from zero to 100.
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Vsakdo izbere številko od 0 do 100,
00:50
We're going to compute the average of those numbers,
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izračunali bomo povprečje teh števil
00:52
and whoever's closest to two-thirds of the average wins a fixed prize.
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in, kdor bo najbližji dvem tretjinam povprečja dobi fiksno nagrado.
00:56
So you want to be a little bit below the average number
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Torej hočemo biti malo pod povprečnim številom,
00:59
but not too far below,
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vendar ne preveč spodaj, enako, kot vsi drugi,
01:00
and everyone else wants to be a little bit below the average number as well.
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ki bi radi bili rahlo pod povprečjem.
Razmislite, kaj bi lahko izbrali.
01:04
Think about what you might pick.
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In kot si mislite, to je poskusni model za nekaj podobnega
01:06
As you're thinking,
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01:07
this is a toy model of something like selling in the stock market
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borzni prodaji v času naraščajočega trga. Kajne?
01:10
during a rising market:
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Nočete prodati prezgodaj, saj ne bo dobička,
01:12
You don't want to sell too early, because you miss out on profits,
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vendar ni dobro preveč čakati,
01:15
but you don't want to wait too late, to when everyone else sells,
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da vsi drugi prodajo, kar bi povzročilo propad.
01:18
triggering a crash.
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Želite biti malo pred konkurenco, vendar ne preveč.
01:19
You want to be a little bit ahead of the competition, but not too far ahead.
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Ok, tukaj sta dve teoriji, kako lahko ljudje razmišljajo o tem,
01:23
OK, here's two theories about how people might think about this,
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potem bomo videli podatke.
01:26
then we'll see some data.
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Nekaj od tega bo zvenelo znano, saj ste verjetno
01:27
Some of these will sound familiar
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razmišljali na takšen način. Jaz uporabljam svojo teorijo možganov, da razumem.
01:29
because you probably are thinking that way.
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01:31
I'm using my brain theory to see.
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01:32
A lot of people say, "I really don't know what people are going to pick,
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Veliko ljudi pravi: "Res ne vem, kaj bodo ljudje izbrali,
mislim pa, da bo povprečje 50".
01:36
so I think the average will be 50" -- they're not being strategic at all --
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Oni se sploh ne vedejo strateško.
01:39
and "I'll pick two-thirds of 50, that's 33."
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"In jaz bom izbral dve tretjini od 50. To je 33.«. To je začetek.
01:41
That's a start.
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Drugi, ki so malo bolj sofisticirani,
01:43
Other people, who are a little more sophisticated,
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uporabljajo več delovnega spomina,
01:45
using more working memory,
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01:46
say, "I think people will pick 33,
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povejo:"Mislim, da bodo ljudje izbrali 33, ker bodo izbrali odgovor na 50,
01:48
because they're going to pick a response to 50,
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zato bom izbral 22, kar je dve tretjini od 33. "
01:50
and so I'll pick 22, which is two-thirds of 33."
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01:52
They're doing one extra step of thinking, two steps.
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Oni naredijo še en korak razmišljanja, dva koraka.
01:55
That's better.
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To je boljše. In seveda, načeloma
01:57
Of course, in principle, you could do three, four or more,
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jih lahko naredite tri, štiri ali več,
01:59
but it starts to get very difficult.
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ampak postane zelo težko.
02:01
Just like in language and other domains,
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Tako kot pri jezikih in drugje, je težko razčleniti
02:03
we know that it's hard for people to parse very complex sentences
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zelo zapletene stavke z neke vrste rekurzivno strukturo.
02:06
with a recursive structure.
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To je kognitivna teorija hierarhije.
02:08
This is called the cognitive hierarchy theory,
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To je nekaj, kar sem delal s še nekaj drugimi ljudmi
02:10
something I've worked on and a few other people,
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02:12
and it indicates a kind of hierarchy,
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in to pomeni neke vrste hierarhijo skupaj
02:14
along with some assumptions about how many people stop at different steps
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s predpostavkami koliko ljudi se ustavi kje
in kako na korake razmišljanja vplivajo
02:17
and how the steps of thinking are affected
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mnoge zanimive spremenljivke in različni ljudje, kot bomo videli v minuti.
02:19
by lots of interesting variables and variant people,
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02:22
as we'll see in a minute.
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Zelo drugačna teorija, veliko bolj priljubljena in starejša,
02:23
A very different theory, a much more popular one and an older one,
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predvsem zaradi John-a Nash-a iz znamenitega "Čudovitega uma",
02:26
due largely to John Nash of "A Beautiful Mind" fame,
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02:29
is what's called "equilibrium analysis."
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je tista, ki se imenuje analiza ravnovesja.
02:31
So if you've ever taken a game theory course at any level,
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Torej, če ste kdaj bili na tečaju teorije iger,
ste se naučili nekaj o tem.
02:34
you'll have learned a bit about this.
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Ravnovesje je matematično stanje, v katerem so vsi
02:36
An equilibrium is a mathematical state
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02:37
in which everybody has figured out exactly what everyone else will do.
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natančno ugotovili, kaj bo vsakdo počel.
To je zelo uporaben koncept, ampak vedenjsko
02:41
It is a very useful concept,
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02:42
but behaviorally, it may not exactly explain
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ne more razložiti, kaj ljudje počnejo,
02:44
what people do the first time they play these types of economic games
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ko prvič igrajo ekonomske igre teh vrst,
02:47
or in situations in the outside world.
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ali v situacijah v zunanjem svetu.
02:49
In this case, the equilibrium makes a very bold prediction,
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Tukaj teorija ravnovesja zelo drzno predvideva,
02:52
which is: everyone wants to be below everyone else,
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da bodo vsi zato, ker želijo biti pod drugimi,
02:55
therefore, they'll play zero.
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odigrali igro z ničelno vsoto.
02:57
Let's see what happens.
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Poglejmo, kaj se zgodi. Ta poskus je bil narejen velikokrat.
02:58
This experiment's been done many, many times.
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Prve smo naredili v devetdesetih
03:01
Some of the earliest ones were done in the '90s
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z Rosemarie Nagel in drugimi.
03:03
by me and Rosemarie Nagel and others.
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To je lep niz podatkov 9000 ljudi, ki so se prijavili
03:05
This is a beautiful data set of 9,000 people
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03:07
who wrote in to three newspapers and magazines that had a contest.
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na natečaj v treh časopisih in revijah.
03:10
The contest said, send in your numbers,
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Pisalo je: " Pošljite vaše številke
03:12
and whoever is close to two-thirds of the average will win a big prize.
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in kdor bo blizu dvem tretjinam povprečja, bo dobil veliko nagrado".
Kot vidite, tukaj je veliko podatkov, dobro lahko vidite vrhove.
03:16
As you can see, there's so much data here, you can see the spikes very visibly.
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Vrh je na 33. To so ljudje, ki naredijo en korak.
03:20
There's a spike at 33 -- those are people doing one step.
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03:22
There is another spike visible at 22.
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Še en stolpec je viden na 22.
Opazite, da večina izbira številke tam nekje.
03:25
Notice, by the way, most people pick numbers right around there;
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Ne izbirajo nujno točno 33 in 22.
03:28
they don't necessarily pick exactly 33 and 22.
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Precej ​​je živahno tu okoli.
03:30
There's something a bit noisy around it.
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A vidite tudi tiste vrhove tam.
03:32
But you can see those spikes on that end.
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Tu je še ena skupina ljudi in zdi se,
03:34
There's another group of people
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da se čvrsto držijo analize ravnovesja,
03:35
who seem to have a firm grip on equilibrium analysis,
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ker so izbrali 0 ali 1.
03:38
because they're picking zero or one.
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03:39
But they lose, right?
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Ampak oni izgubijo, kajne?
03:41
Because picking a number that low is actually a bad choice
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Zato, ker je izbira tako nizke številke dejansko slaba izbira,
razen, če se tudi drugi ne ukvarjajo z analizami ravnovesja.
03:45
if other people aren't doing equilibrium analysis as well.
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03:47
So they're smart, but poor.
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Oni so pametni, vendar revni.
03:49
(Laughter)
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(Smeh)
03:51
Where are these things happening in the brain?
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Kje do tega prihaja v možganih?
Ena od študij Coricelli-ja in Nagel-ove daje zelo jasen, zanimiv odgovor.
03:54
One study by Coricelli and Nagel gives a really sharp, interesting answer.
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03:57
They had people play this game while they were being scanned in an fMRI,
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Pri njih so ljudje igrali to igro
medtem, ko so jih skenirali v fMRi,
04:01
and two conditions:
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pod dvema pogojema: v nekaterih preizkusih
04:02
in some trials, they're told,
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so rekli: " Igrate z drugo osebo,
04:04
"You're playing another person who's playing right now.
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ki igra zdaj in pomerili bomo
04:06
We'll match up your behavior at the end and pay you if you win."
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vajino vedenje na koncu in vam ob zmagi plačali".
Drugim so rekli, da igrajo z računalnikom.
04:09
In other trials, they're told, "You're playing a computer,
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Izbirali so naključno.
04:12
they're just choosing randomly."
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Torej kar vidite tukaj, je odštevanje
04:14
So what you see here is a subtraction of areas
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področij v katerih je več možganskih dejavnosti,
04:16
in which there's more brain activity when you're playing people
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ko vaš je soigralec v igri človek v primerjavi z računalnikom.
04:19
compared to playing the computer.
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04:20
And you see activity in some regions we've seen today,
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Vidite dejavnost v nekaterih področjih,
v medialni prefrontalni skorji, dorzomedialni, pa tu gor,
04:23
medial prefrontal cortex, dorsomedial, up here,
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04:25
ventromedial prefrontal cortex, anterior cingulate,
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v ventromedialni prefrontalni skorji,
v anteriorni cingulatni skorji, področju, ki se ukvarja
04:28
an area that's involved in lots of types of conflict resolution,
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z veliko vrst reševanja sporov, kot če se igrate "Simon reče"
04:31
like if you're playing "Simon Says,"
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in tudi desno in levo temporoparietalno stičišče.
04:33
and also the right and left temporoparietal junction.
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04:36
And these are all areas which are fairly reliably known to be
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Vse to so področja, za katere se dokaj zanesljivo ve,
da so del krogotoka "teorije uma",
04:39
part of what's called a "theory of mind" circuit
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ali " mentalni krogotok."
04:41
or "mentalizing circuit."
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04:42
That is, it's a circuit that's used to imagine what other people might do.
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Ta krogotok se uporablja, ko razmišljmo kaj bi lahko drugi naredili.
04:46
These were some of the first studies to see this tied in to game theory.
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To so nekatere prvih študij, kjer so opazili
povezanost s teorijo iger.
04:50
What happens with these one- and two-step types?
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Kaj se zgodi s temi en-korak in dva-koraka tipi?
Ljudi smo razvrstili glede na njihovo izbiro
04:53
So, we classify people by what they picked,
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in potem iskali razliko v
04:55
and then we look at the difference between playing humans versus computers,
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igranju proti ljudem in proti računalniku,
04:58
which brain areas are differentially active.
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katera možganska področja so aktivna.
05:00
On the top, you see the one-step players.
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Na vrhu boste videli en-korak igralce.
Tam skoraj ni razlike.
05:02
There's almost no difference.
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Zato ker obravnavajo druge kot računalnike in tako tudi možgani.
05:04
The reason is, they're treating other people like a computer,
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Spodnji igralci, vidite vse dejavnosti v dorsomedialni prefrontalni skorji.
05:07
and the brain is too.
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05:08
The bottom players, you see all the activity in dorsomedial PFC.
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Vidimo, da dva-koraka igralci delajo drugače.
05:11
So we know the two-step players are doing something differently.
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Če bi se ustavili in vprašali: "Kaj naj storimo s to informacijo?"
05:14
Now, what can we do with this information?
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Lahko pogledamo delovanje možganov:
05:16
You might be able to look at brain activity and say,
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"Ta oseba bo dober igralec pokra,"
05:19
"This person will be a good poker player," or "This person's socially naive."
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ali "Ta oseba je družbeno naivna"
Morda bi lahko proučevali
05:22
We might also be able to study things like development of adolescent brains
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razvoj adolescentnih možganov
ko spoznamo, kje ta krogotok obstaja.
05:26
once we have an idea of where this circuitry exists.
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Ok. Pripravite se.
05:28
OK. Get ready.
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05:29
I'm saving you some brain activity,
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Prihranil sem vam nekaj možganskih dejavnosti,
05:31
because you don't need to use your hair detector cells.
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zato, ker vam ni treba uporabljati detektorskih celic las.
05:34
You should use those cells to think carefully about this game.
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Morali bi uporabiti te celice, za premislek o tej igri.
To je pogajalska igra.
05:38
This is a bargaining game.
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05:39
Two players who are being scanned using EEG electrodes
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Dva igralca, ki jih skenirajo s pomočjo EEG elektrod,
05:42
are going to bargain over one to six dollars.
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bosta barantala za vsoto od 1 do 6 dolarjev.
05:45
If they can do it in 10 seconds, they'll earn that money.
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Dogovorita se v 10 sekundah in dobita ta denar.
Če se v 10 sekundah ne dogovorita, ne dobita ničesar.
05:48
If 10 seconds go by and they haven't made a deal, they get nothing.
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To je neke vrste skupna napaka.
05:51
That's kind of a mistake together.
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05:52
The twist is that one player, on the left,
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Trik je, da je igralec na levi strani
05:55
is informed about how much on each trial there is.
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obveščen o višini zneska v vsakem preizkusu.
05:57
They play lots of trials with different amounts each time.
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Igrata velikokrat, vsakič z različnimi zneski.
06:00
In this case, they know there's four dollars.
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Tu sta vedela, da je znesek štiri dolarje.
06:02
The uninformed player doesn't know, but they know the informed player knows.
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Neobveščeni igralec ne ve,
vendar vesta, da obveščen igralec ve.
06:06
So the uninformed player's challenge is to say,
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Torej, se neobveščeni igralec lahko vpraša:
06:08
"Is this guy being fair,
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"Ali je ta fant res pošten,
06:09
or are they giving me a very low offer
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ali so mi dali zelo nizko ponudbo
06:11
in order to get me to think there's only one or two dollars available to split?"
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da bi mislil, da sta v igri le en ali dva dolarja ?"
V tem primeru bi lahko zavrnila dogovor in do soglasja ne bi prišla.
06:15
in which case they might reject it and not come to a deal.
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Tukaj je nekaj napetosti med poskusom, da bi dobili največ denarja
06:18
So there's some tension here between trying to get the most money
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prepričevanjem drugega igralca, da vam da več.
06:21
but trying to goad the other player into giving you more.
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Način barantanja je kazanje na številko vrstice,
06:24
And the way they bargain is to point on a number line
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ki gre od 0 do 6 dolarjev,
06:26
that goes from zero to six dollars.
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pogajata, pa se o tem, koliko bo neobveščeni igralec dobil,
06:28
They're bargaining over how much the uninformed player gets,
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ostanek dobi obveščeni igralec.
06:31
and the informed player will get the rest.
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Torej, to je podobno pogajanjem med vodstvom podjetja in delavci
06:33
So this is like a management-labor negotiation
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v katerem delavci ne vedo koliko dobička
06:35
in which the workers don't know
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06:37
how much profits the privately held company has,
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privatno podjetje ima,
06:40
and they want to maybe hold out for more money,
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bi pa radi vztrajali pri čim več denarja,
06:42
but the company might want to create the impression
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vendar bi podjetje lahko dalo vtis,
da obstaja zelo malo za razdelitev: " Dajem največ, kar lahko."
06:45
that there's very little to split: "I'm giving the most I can."
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Najprej nekaj o obnašanju. Množica parov, igrata iz oči v oči.
06:48
First, some behavior: a bunch of the subject pairs play face-to-face.
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06:51
We have other data where they play across computers.
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So tudi podatki o igri preko računalnika.
To je zanimiva razlika.
06:54
That's an interesting difference, as you might imagine.
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Ampa v množici parov, ki igrajo iz oči v oči
06:56
But a bunch of the face-to-face pairs
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se prav vsakič dogovorita o enakomerni porazdelitvi denarja
06:58
agree to divide the money evenly every single time.
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Dolgočasno. To enostavno ni nevronsko zanimivo.
07:01
Boring. It's just not interesting neurally.
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Dobro je zanje, ker zaslužijo veliko denarja.
07:04
It's good for them -- they make a lot of money.
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07:06
But we're interested in:
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Ampak nas zanima, ali lahko kaj povemo
07:08
Can we say something about when disagreements occur versus don't occur?
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o tem kdaj pride do nesoglasja in kdaj ne?
07:11
So this is the other group of subjects, who often disagree.
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To je druga skupina, kjer se pogosto ne strinjata.
Ker se prerekata in se ne strinjata, imata možnost,
07:14
They bicker and disagree and end up with less money.
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da končata z manj denarja.
07:18
They might be eligible to be on "Real Housewives," the TV show.
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Lahko bi bili primerni za nastop v TV šovu "Prave gospodinje."
07:21
(Laughter)
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Na levi strani vidite,
07:22
You see on the left,
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07:23
when the amount to divide is one, two or three dollars,
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ko je znesek za razdelitev 1, 2 ali 3 dolarjev,
07:26
they disagree about half the time;
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se polovico časa ne strinjata ,
07:28
when it's four, five, six, they agree quite often.
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ko pa je znesek 4, 5, 6, se pogosto strinjata .
07:30
This turns out to be something that's predicted
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Izkaže se, da je to nekaj, kar je predvidljivo
07:32
by a very complicated type of game theory
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z zelo zapleteno vrsto teorije iger
07:34
you should come to graduate school at CalTech and learn about.
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in bi morali študirati na Caltech-u, da bi to spoznali.
To je prezapleteno, da bi zdaj pojasnjeval ,
07:38
It's a little too complicated to explain right now,
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ampak teorija vam pove, da bi se ta oblika nekako morala zgoditi.
07:40
but the theory tells you that this shape should occur.
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Vaša intuicija vam lahko pove enako.
07:43
Your intuition might tell you that, too.
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07:45
Now I'm going to show you the results from the EEG recording.
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Zdaj vam bom pokazal rezultate EEG snemanja.
Zelo zapleteno. Na shemi so desni možgani
07:48
Very complicated.
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07:49
The right brain schematic is the uninformed person,
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od neobveščene, na levi od obveščene osebe.
07:51
and the left is the informed.
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Ne pozabite, da smo skenirali možgane obeh hkrati,
07:53
Remember that we scanned both brains at the same time,
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07:55
so we can ask about time-synced activity
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zato lahko iščemo časovno sinhronizirane dejavnosti
v podobnih ali različnih področjih hkrati,
07:58
in similar or different areas simultaneously,
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tako kot, če bi radi preučevali pogovor
08:01
just like if you wanted to study a conversation,
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08:03
and you were scanning two people talking to each other.
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in bi skenirali dva, ki se pogovarjata
bi pričakovali skupno dejavnost v področju jezika,
08:06
You'd expect common activity in language regions
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ko onadva dejansko poslušata in komunicirata.
08:08
when they're listening and communicating.
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Torej puščice povezujejo področja, ki so aktivna istočasno,
08:10
So the arrows connect regions that are active at the same time.
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začetek puščice je
08:14
The direction of the arrows
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08:15
flows from the region that's active first in time,
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v območju, ki je časovno najprej aktivno,
08:18
and the arrowhead goes to the region that's active later.
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vrh puščice pa v območju, ki se aktivira pozneje.
Torej, v tem primeru, če ste skrbno opazovali,
08:22
So in this case, if you look carefully,
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08:24
most of the arrows flow from right to left.
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gra večina puščic od desne proti levi.
To pomeni, da je videti, kot da se dejavnost v neobveščenih možganih
08:26
That is, it looks as if the uninformed brain activity
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08:29
is happening first,
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zgodi prva,
08:31
and then it's followed by activity in the informed brain.
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nato pa ji sledi dejavnost v obveščenih možganih.
In mimogrede, to so bili preizkusi, v katerih sta do pogodbe prišla.
08:35
And by the way, these are trials where their deals were made.
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08:38
This is from the first two seconds.
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To je v prvih dveh sekundah.
08:40
We haven't finished analyzing this data, so we're still peeking in,
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Nismo končali analize teh podatkov,
tako da še vedno kukamo, v upanju,
08:43
but the hope is that we can say something in the first couple of seconds
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da bomo lahko rekli nekaj v prvih nekaj sekundah
08:46
about whether they'll make a deal or not,
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o tem, ali bo do dogovora prišlo,
08:48
which could be very useful in thinking about avoiding litigation
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kar bi bilo koristno pri izogibanju sporom,
grdim razvezam in podobnemu.
08:51
and ugly divorces and things like that.
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To so vse primeri, v katerih je veliko vrednosti izgubljeno
08:53
Those are all cases in which a lot of value is lost by delay and strikes.
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zaradi zavlačevanja in zgrešenih poskusov.
08:58
Here's the case where the disagreements occur.
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Tukaj je primer, ko pride do nesoglasja.
09:00
You can see it looks different than the one before.
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Lahko opazite, da izgleda drugače kot prejšnji.
Tukaj je veliko več puščic.
09:03
There's a lot more arrows.
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09:04
That means that the brains are synced up more closely
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Možgani so bolj sinhronizirani
v smislu hkratnih dejavnosti
09:07
in terms of simultaneous activity,
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09:08
and the arrows flow clearly from left to right.
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in puščice se gibljejo z leve na desno.
To je, da se obveščeni možgani odločajo:
09:11
That is, the informed brain seems to be deciding,
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"Tukaj se verjetno ne bova pogodila."
09:13
"We're probably not going to make a deal here."
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09:15
And then later, there's activity in the uninformed brain.
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In šele pozneje je dejavnost v neobveščenih možganih.
09:18
Next, I'm going to introduce you to some relatives.
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V nadaljevanju vam bom predstavil nekaj sorodnikov.
Oni so kosmati, smrdeči, hitri in močni.
09:21
They're hairy, smelly, fast and strong.
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09:23
You might be thinking back to your last Thanksgiving.
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Mogoče vas to spomni na vaš Zahvalni dan.
09:25
(Laughter)
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09:26
Maybe, if you had a chimpanzee with you.
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Morda, če so bili šimpanzi z vami.
09:29
Charles Darwin and I and you broke off from the family tree from chimpanzees
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Charles Darwin, jaz in vi smo se odlomili od družinskega drevesa
s šimpanzi pred približno pet milijonov let.
09:33
about five million years ago.
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09:34
They're still our closest genetic kin.
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Oni so genetsko naši najbližji sorodniki.
09:36
We share 98.8 percent of the genes.
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Skupno nam je 98,8 odstotkov genov.
09:38
We share more genes with them than zebras do with horses.
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Imamo več skupnih genov z njimi kot zebre s konji.
09:41
And we're also their closest cousin.
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Mi smo njihovi najbližji sorodniki.
09:43
They have more genetic relation to us than to gorillas.
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Z nami so so si genetsko bližje kot z gorilami.
09:46
So, how humans and chimpanzees behave differently
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Tako nam razlike v vedenju ljudi in šimpanzov
09:48
might tell us a lot about brain evolution.
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lahko povedo veliko o razvoju možganov.
09:51
This is an amazing memory test
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Torej, to je neverjeten test spomina
09:53
from [Kyoto], Japan, the Primate Research Institute,
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iz Inštituta za proučevanje primatov iz Nagoje na Japonskem,
09:56
where they've done a lot of this research.
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kjer so naredili veliko teh raziskav.
09:58
This goes back a ways. They're interested in working memory.
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To sega daleč nazaj. Zanima jih delovni spomin.
Šimpanz bo videl, glejte pozorno,
10:01
The chimp will see, watch carefully,
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videli bodo posnetek v 200 milisekundah
10:03
they'll see 200 milliseconds' exposure -- that's fast, eight movie frames --
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- kar je hitro, osem filmskih sličic -
10:06
of numbers one, two, three, four, five.
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številke ena, dva, tri, štiri, pet.
10:08
Then they disappear and are replaced by squares,
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Številke izginejo, nadomestijo jih kvadrati.
10:10
and they have to press the squares
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Oni pa morajo pritisniti kvadrate,
10:12
that correspond to the numbers from low to high
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ki ustrezajo številkam od nizkih do visokih,
10:14
to get an apple reward.
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da bi dobili jabolko.
Poglejmo, kako to oni lahko počnejo.
10:16
Let's see how they can do it.
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10:28
This is a young chimp.
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To je mlad šimpanz. Mladi
10:29
The young ones are better than the old ones, just like humans.
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so boljši od starih, tako kot ljudje.
10:32
(Laughter)
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Zelo so izkušeni, ker so to počeli
10:33
And they're highly experienced,
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več tisočkrat.
10:35
they've done this thousands of times.
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Očitno je učinek treninga velik , kot si lahko predstavljate.
10:37
Obviously there's a big training effect, as you can imagine.
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(Smeh)
10:40
(Laughter)
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10:41
You can see they're very blasé and effortless.
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Vidite, da jim ni mar in se ne naprezajo.
10:43
Not only can they do it very well, they do it in a sort of lazy way.
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Ne le, da to lahko delajo zelo dobro, pač pa to počnejo na nekakšen len način.
10:46
(Laughter)
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10:47
Who thinks you could beat the chimps?
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Kajne? Kdo si misli, da bi lahko premagal šimpanza?
10:49
(Laughter)
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10:50
Wrong. (Laughter)
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Narobe. (Smeh)
10:52
We can try. We'll try. Maybe we'll try.
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Lahko poskusimo, morda bomo poskusili.
10:54
OK, so the next part of the study I'm going to go quickly through
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Ok, naslednji del te študije,
bom preletel,
10:58
is based on an idea of Tetsuro Matsuzawa.
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temelji na ideji Tetsura Matsuzawa.
11:01
He had a bold idea he called the "cognitive trade-off hypothesis."
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Svojo drzno idejo je poimenoval kognitivno kompromisna hipoteza.
Vemo, da so šimpanzi hitrejši in močnejši.
11:05
We know chimps are faster and stronger; they're also obsessed with status.
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Prav tako so obsedeni s statusom.
Njegova misel je bila, da morda ohranjajo možganske dejavnosti
11:08
His thought was, maybe they've preserved brain activities
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in jih vadijo v razvoju,
11:11
and practice them in development
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11:12
that are really, really important to them to negotiate status and to win,
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ker jim je zelo, zelo pomembno,
da se pogajajo o statusu in da zmagajo,
11:16
which is something like strategic thinking during competition.
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kar je nekaj podobnega strateškemu razmišljanju med tekmovanjem.
11:19
So we're going to check that out
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Torej, to bomo preverili,
11:21
by having the chimps actually play a game
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ko bodo šimpanzi dejansko igrali igro
11:23
by touching two touch screens.
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z dotikanjem dveh zaslonov na dotik.
11:26
The chimps are interacting with each other through the computers.
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Šimpanza sta dejansko v stiku prek računalnika.
Pritiskala bosta levo ali desno.
11:29
They'll press left or right.
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11:30
One chimp is called a matcher; they win if they press left-left,
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En šimpanz se imenuje ujemalni.
Oni zmagajo, če pritisnejo levo, levo,
11:34
like a seeker finding someone in hide-and-seek, or right-right.
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ali desno, desno, podobno iskanju v igri skrivalnice.
11:37
The mismatcher wants to mismatch;
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Neujemalni se ne bi rad ujemal.
Oni bi radi pritisnili na nasprotni zaslon.
11:39
they want to press the opposite screen of the chimp.
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11:41
And the rewards are apple cube rewards.
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Nagrada je jabolčna kocka.
11:44
So here's how game theorists look at these data.
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Tukaj vidite, kako teoretiki igre gledajo te podatke.
11:46
This is a graph of the percentage of times
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To je graf kolikokrat
11:48
the matcher picked right on the x-axis
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je ujemalni izbral desno na x- osi
11:51
and the percentage of times they picked right
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in odstotek kolikokrat je dobro predvidel
neujemalni na y- osi.
11:53
by the mismatcher on the y-axis.
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11:55
So a point here is the behavior by a pair of players,
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Torej tu gre za ravnanje para igralcev
11:58
one trying to match, one trying to mismatch.
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en poskuša uskladiti, drugi poskuša nasprotno.
12:01
The NE square in the middle -- actually, NE, CH and QRE --
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NE kvadrat v sredini - dejansko NE, CH in QRE -
12:04
those are three different theories of Nash equilibrium and others,
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so tri različne teorije Nash-evega ravnovesja in drugih,
ki vam povejo, kaj teorija predvideva,
12:07
tells you what the theory predicts,
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12:09
which is that they should match 50-50,
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torej da bi oni morali odigrati 50-50,
12:11
because if you play left too much, for example,
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ker, če levo igrate prevečkrat, na primer,
12:13
I can exploit that if I'm the mismatcher by then playing right.
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jaz to izkoristim, če sem neujemalni in odigram desno.
12:16
And as you can see, the chimps -- each chimp is one triangle --
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In kot vidite, šimpanzi, vsak šimpanz je en trikotnik,
12:19
are circled around, hovering around that prediction.
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krožijo in se gibljejo okrog te napovedi.
Zdaj gremo na izplačila.
12:23
Now we move the payoffs.
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12:24
We're going to make the left-left payoff for the matcher a little higher.
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Dejansko bomo za levo, levo malce povišali izplačilo ujemalnemu.
12:28
Now they get three apple cubes.
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Zdaj dobijo tri jabolčne kocke.
12:29
Game theoretically, that should make the mismatcher's behavior shift:
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Po teoriji igre bi to moralo obrniti vedenje neujemalnega
ker bo neujemalni pomislil:
12:33
the mismatcher will think, "Oh, this guy's going to go for the big reward,
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"Oh, tale cilja na veliko nagrado,
in zato bom šel na desno, da zagotovim, da je ne dobi".
12:36
so I'll go to the right, make sure he doesn't get it."
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Njihovo vedenje se premika gor
12:39
And as you can see, their behavior moves up
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v smeri te spremembe v Nash-ovem ravnovesju.
12:41
in the direction of this change in the Nash equilibrium.
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12:44
Finally, we changed the payoffs one more time.
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Na koncu smo spremenili izplačila še enkrat.
12:46
Now it's four apple cubes,
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Štiri jabolčne kocke,
12:47
and their behavior again moves towards the Nash equilibrium.
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vedenje se premika proti Nash-ovem ravnovesju.
razmetano je okoli, ampak, če izračunate povprečje,
12:50
It's sprinkled around, but if you average the chimps out,
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dejansko so zelo blizu, znotraj 0,01.
12:53
they're really close, within .01.
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Dejansko so bližje kot katerakoli vrsta, ki smo jo opazovali.
12:54
They're actually closer than any species we've observed.
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12:57
What about humans? You think you're smarter than a chimpanzee?
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Kaj pa ljudje? Mislite, da ste pametnejši od šimpanza?
Tu sta dve skupini ljudi, v zeleni in modri barvi.
13:01
Here's two human groups in green and blue.
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Bližje so 50-50. Ne odzivajo se toliko na izplačila,
13:04
They're closer to 50-50; they're not responding to payoffs as closely.
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13:07
And also if you study their learning in the game,
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in če pogledate njihovo učenje v igri,
niso tako občutljivi na prejšnje nagrade.
13:10
they aren't as sensitive to previous rewards.
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Šimpanzi igrajo bolje kot ljudje,
13:12
The chimps play better than the humans, in terms of adhering to game theory.
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v smislu, da se bolj držijo teorije iger.
To sta dve različni skupini ljudi
13:16
And these are two different groups of humans, from Japan and Africa;
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iz Japonske in Afrike. Oni to lepo ponovijo.
13:19
they replicate quite nicely.
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Nihče od njih ni niti blizu šimpanzom.
13:20
None of them are close to where the chimps are.
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Nekaj stvari, ki smo se jih naučili.
13:23
So, some things we learned:
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13:24
people seem to do a limited amount of strategic thinking using theory of mind.
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Zdi se, da ljudje z uporabo teorije uma
lahko omejeno strateško razmišljajo.
13:28
We have preliminary evidence from bargaining
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Imamo nekaj začetnih dokazov iz pogajanj,
13:30
that early warning signs in the brain might be used to predict
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da bi zgodnja pozorila v možganih lahko uporabljali
za napoved slabega nesoglasja, ki bi nas stalo,
13:33
whether there'll be a bad disagreement that costs money,
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in da šimpanzi boljši tekmovalci od nas,
13:36
and chimps are "better" competitors than humans,
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po oceni teorije iger.
13:38
as judged by game theory.
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13:39
Thank you.
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Hvala.
13:41
(Applause)
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(Aplavz)
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Na tem mestu boste našli videoposnetke na YouTubu, ki so uporabni za učenje angleščine. Ogledali si boste lekcije angleščine, ki jih poučujejo vrhunski učitelji z vsega sveta. Z dvoklikom na angleške podnapise, ki so prikazani na vsaki strani z videoposnetki, lahko predvajate videoposnetek od tam. Podnapisi se pomikajo sinhronizirano s predvajanjem videoposnetka. Če imate kakršne koli pripombe ali zahteve, nam pišite prek tega obrazca za stike.

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