Your words may predict your future mental health | Mariano Sigman

802,510 views ・ 2016-06-16

TED


Please double-click on the English subtitles below to play the video.

Prevodilac: Ivana Krivokuća Lektor: Tijana Mihajlović
00:13
We have historical records that allow us to know how the ancient Greeks dressed,
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Imamo istorijske podatke koji nam omogućavaju
da znamo kako su se stari Grci oblačili,
00:18
how they lived,
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kako su živeli, kako su se borili.
00:19
how they fought ...
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00:21
but how did they think?
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A kako su razmišljali?
00:23
One natural idea is that the deepest aspects of human thought --
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Jedna prirodna ideja je da su najdublji aspekti ljudskih misli -
00:27
our ability to imagine,
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naša sposobnost da zamišljamo,
00:29
to be conscious,
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da budemo svesni,
00:31
to dream --
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da maštamo -
00:32
have always been the same.
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uvek bili isti.
00:34
Another possibility
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Druga mogućnost
00:36
is that the social transformations that have shaped our culture
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je da su društveni preobražaji koji su oblikovali našu kulturu
00:40
may have also changed the structural columns of human thought.
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možda takođe izmenili strukturalnu osnovu ljudske misli.
00:44
We may all have different opinions about this.
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Svi možemo imati različita mišljenja o ovome.
00:47
Actually, it's a long-standing philosophical debate.
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Zapravo, to je dugogodišnja filozofska rasprava.
00:50
But is this question even amenable to science?
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Međutim, da li je ovo pitanje uopšte pristupačno nauci?
00:54
Here I'd like to propose
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Hteo bih da ovde predložim
00:57
that in the same way we can reconstruct how the ancient Greek cities looked
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da na isti način na koji možemo rekonstruisati
kako su izgledali gradovi Antičke Grčke samo na osnovu nekoliko cigala,
01:02
just based on a few bricks,
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01:04
that the writings of a culture are the archaeological records,
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spisi kulture predstavljaju arheološke zapise,
01:08
the fossils, of human thought.
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fosile ljudske misli.
01:11
And in fact,
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Zapravo,
01:13
doing some form of psychological analysis
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sprovodeći neku vrstu psihološke analize
01:15
of some of the most ancient books of human culture,
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nekih od najstarijih knjiga ljudske kulture,
01:18
Julian Jaynes came up in the '70s with a very wild and radical hypothesis:
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Džulijan Džejms je 1970-ih godina smislio veoma smelu i radikalnu hipotezu
01:24
that only 3,000 years ago,
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da su pre samo 3 000 godina
01:27
humans were what today we would call schizophrenics.
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ljudi bili ono što bismo danas nazvali šizofreničarima.
01:33
And he made this claim
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Tvrdio je to
01:35
based on the fact that the first humans described in these books
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na osnovu činjenice da su se prvi ljudi opisani u ovim knjigama
01:38
behaved consistently,
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ponašali dosledno
01:40
in different traditions and in different places of the world,
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u različitim tradicijama i na različitim mestima na svetu,
01:43
as if they were hearing and obeying voices
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kao da čuju i povinuju se glasovima
01:47
that they perceived as coming from the Gods,
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za koje su smatrali da dolaze od bogova
01:50
or from the muses ...
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ili od muza,
01:52
what today we would call hallucinations.
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što bismo danas nazvali halucinacijama.
01:55
And only then, as time went on,
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Tek zatim, kako je vreme prolazilo,
01:58
they began to recognize that they were the creators,
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počeli su da prepoznaju da su oni bili ti koji ih proizvode,
02:02
the owners of these inner voices.
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vlasnici tih unutrašnjih glasova.
02:05
And with this, they gained introspection:
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Time su stekli introspekciju,
02:08
the ability to think about their own thoughts.
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sposobnost da razmišljaju o sopstvenim mislima.
02:11
So Jaynes's theory is that consciousness,
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Dakle, Džejnsova teorija je da svest,
02:15
at least in the way we perceive it today,
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bar onako kako je doživljavamo danas,
02:18
where we feel that we are the pilots of our own existence --
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kada osećamo da upravljamo svojim postojanjem,
02:21
is a quite recent cultural development.
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predstavlja prilično skorašnje kulturološko razviće.
02:25
And this theory is quite spectacular,
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Ova teorija je prilično spektakularna, ali ima jedan očigledan problem,
02:27
but it has an obvious problem
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02:28
which is that it's built on just a few and very specific examples.
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a to je da je izgrađena samo na osnovu nekoliko vrlo specifičnih primera.
02:33
So the question is whether the theory
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Postavlja se pitanje da li se teorija
02:34
that introspection built up in human history only about 3,000 years ago
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da je introspekcija izgrađena pre svega 3 000 godina u ljudskoj istoriji
02:39
can be examined in a quantitative and objective manner.
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može proveravati na kvantitativan i objektivan način.
02:43
And the problem of how to go about this is quite obvious.
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Problem toga kako se pozabaviti ovim prilično je očigledan.
02:47
It's not like Plato woke up one day and then he wrote,
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Platon se nije samo probudio jednog dana i onda napisao:
02:50
"Hello, I'm Plato,
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„Zdravo, ja sam Platon
02:52
and as of today, I have a fully introspective consciousness."
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i od danas imam potpuno introspektivnu svest.“
02:55
(Laughter)
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(Smeh)
02:57
And this tells us actually what is the essence of the problem.
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To nam zapravo govori o tome šta je suština problema.
03:01
We need to find the emergence of a concept that's never said.
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Treba da otkrijemo nastanak koncepta koji nikada nije izrečen.
03:06
The word introspection does not appear a single time
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Reč „introspekcija“ se ne javlja nijednom
03:10
in the books we want to analyze.
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u knjigama koje želimo da analiziramo.
03:13
So our way to solve this is to build the space of words.
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Dakle, naš način da to rešimo jeste da izgradimo prostor reči.
03:18
This is a huge space that contains all words
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To je veliki prostor koji sadrži sve reči
03:21
in such a way that the distance between any two of them
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na takav način da udaljenost između bilo koje od njih dve
03:24
is indicative of how closely related they are.
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ukazuje na to koliko su blisko povezane.
03:28
So for instance,
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Tako, na primer,
03:29
you want the words "dog" and "cat" to be very close together,
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hteli biste da reči „pas“ i „mačka“ stoje vrlo blizu jedna druge,
03:32
but the words "grapefruit" and "logarithm" to be very far away.
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ali da reči „grejpfrut“ i „logaritam“ budu veoma udaljene.
03:36
And this has to be true for any two words within the space.
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Ovo mora da važi za bilo koje dve reči u prostoru.
03:41
And there are different ways that we can construct the space of words.
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Postoje različiti načini na koje možemo konstruisati prostor reči.
03:44
One is just asking the experts,
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Jedan način je da samo pitamo stručnjake, otprilike onako kako radimo sa rečnicima.
03:46
a bit like we do with dictionaries.
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03:48
Another possibility
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Druga mogućnost
03:50
is following the simple assumption that when two words are related,
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je da sledimo jednostavnu pretpostavku da, kada su dve reči povezane,
03:54
they tend to appear in the same sentences,
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one imaju običaj da se javljaju u istim rečenicama,
03:56
in the same paragraphs,
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u istim pasusima,
03:57
in the same documents,
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u istim dokumentima,
03:59
more often than would be expected just by pure chance.
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češće nego što je očekivano da će se desiti pukom verovatnoćom.
04:04
And this simple hypothesis,
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Ova jednostavna hipoteza,
04:06
this simple method,
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taj jednostavan metod,
04:07
with some computational tricks
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uz neke trikove računanja
koji imaju veze sa činjenicom
04:09
that have to do with the fact
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04:10
that this is a very complex and high-dimensional space,
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da je to veoma složen i visoko dimenzionalan prostor,
04:13
turns out to be quite effective.
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ispostavilo se da je prilično efikasna.
04:16
And just to give you a flavor of how well this works,
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Samo da vam dam predstavu o tome koliko to dobro funkcioniše,
04:18
this is the result we get when we analyze this for some familiar words.
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ovo je rezultat koji dobijamo kada radimo analizu za neku poznatu reč.
04:23
And you can see first
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Najpre možete videti
04:24
that words automatically organize into semantic neighborhoods.
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da se reči automatski organizuju u semantička susedstva.
04:28
So you get the fruits, the body parts,
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Tako imate voće, delove tela,
delove kompjutera, naučne termine i tako dalje.
04:30
the computer parts, the scientific terms and so on.
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04:33
The algorithm also identifies that we organize concepts in a hierarchy.
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Algoritam takođe identifikuje da koncepte organizujemo hijerarhijski.
04:37
So for instance,
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Tako, na primer,
možete videti da se naučni termini dele na dve potkategorije
04:39
you can see that the scientific terms break down into two subcategories
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04:42
of the astronomic and the physics terms.
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astronomskih i fizičkih termina.
04:45
And then there are very fine things.
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Zatim, tu su i vrlo fine stvari.
04:47
For instance, the word astronomy,
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Na primer, reč „astronomija“
04:49
which seems a bit bizarre where it is,
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čije mesto deluje malo bizarno,
04:51
is actually exactly where it should be,
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zapravo se nalazi baš gde treba da bude,
04:53
between what it is,
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između onoga što jeste,
04:55
an actual science,
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prave nauke,
04:56
and between what it describes,
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i onoga što opisuje,
04:57
the astronomical terms.
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astronomskih termina.
05:00
And we could go on and on with this.
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Možemo ovako doveka.
05:02
Actually, if you stare at this for a while,
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Zapravo, ako neko vreme zurite u ovo
i samo nasumično stvarate putanje,
05:04
and you just build random trajectories,
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videćete da ovo pomalo deluje kao bavljenje poezijom.
05:06
you will see that it actually feels a bit like doing poetry.
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05:10
And this is because, in a way,
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To je tako jer je, na neki način,
05:11
walking in this space is like walking in the mind.
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šetanje ovim prostorom kao šetnja kroz um.
05:16
And the last thing
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Poslednja stvar
05:17
is that this algorithm also identifies what are our intuitions,
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je da ovaj algoritam takođe identifikuje koje su naše intuicije,
05:21
of which words should lead in the neighborhood of introspection.
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koje reči treba da budu glavne u okolini introspekcije.
05:25
So for instance,
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Tako su, na primer,
05:26
words such as "self," "guilt," "reason," "emotion,"
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reči poput „ja“, „krivica“, „razum“ i „osećanje“
05:30
are very close to "introspection,"
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veoma bliske „introspekciji“,
05:32
but other words,
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ali su druge reči kao što su „crveno“, „fudbal“, „sveća“ i „banana“
05:33
such as "red," "football," "candle," "banana,"
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05:36
are just very far away.
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veoma udaljene.
05:38
And so once we've built the space,
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Tako, jednom kada sačinimo taj prostor,
05:40
the question of the history of introspection,
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pitanje o istoriji introspekcije
05:43
or of the history of any concept
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ili istoriji bilo kog koncepta
05:46
which before could seem abstract and somehow vague,
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koje je ranije delovalo apstraktno i nekako nejasno
05:50
becomes concrete --
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postaje konkretizovano,
05:52
becomes amenable to quantitative science.
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postaje prijemčivo kvantitativnoj nauci.
05:56
All that we have to do is take the books,
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Sve što treba da uradimo je da uzmemo knjige,
05:59
we digitize them,
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digitalizujemo ih,
06:00
and we take this stream of words as a trajectory
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uzmemo ovu bujicu reči kao putanju
06:03
and project them into the space,
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i projektujemo ih na prostor,
06:05
and then we ask whether this trajectory spends significant time
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a zatim postavimo pitanje da li ta putanja provodi znatno vreme
06:09
circling closely to the concept of introspection.
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kružeći u blizini koncepta introspekcije.
06:12
And with this,
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Na ovaj način
06:13
we could analyze the history of introspection
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mogli bismo analizirali istoriju introspekcije
06:16
in the ancient Greek tradition,
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u tradiciji Antičke Grčke,
06:18
for which we have the best available written record.
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za koju imamo najbolje dostupne pisane zapise.
06:21
So what we did is we took all the books --
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Dakle, uzeli smo sve knjige -
06:23
we just ordered them by time --
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samo smo ih poređali po vremenu -
06:26
for each book we take the words
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za svaku knigu uzmemo reči
06:27
and we project them to the space,
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i projektujemo ih u prostor,
06:29
and then we ask for each word how close it is to introspection,
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zatim postavimo pitanje za svaku reč koliko je blizu introspekcije
06:33
and we just average that.
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i to samo uprosečimo.
06:34
And then we ask whether, as time goes on and on,
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Zatim upitamo da li se, kako vreme odmiče,
06:37
these books get closer, and closer and closer
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ove knjige sve više i više približavaju
06:41
to the concept of introspection.
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konceptu introspekcije.
06:42
And this is exactly what happens in the ancient Greek tradition.
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To je upravo ono što se dešava u tradiciji Antičke Grčke.
06:47
So you can see that for the oldest books in the Homeric tradition,
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Možete videti da kod najstarijih knjiga u homerovskoj tradiciji
06:50
there is a small increase with books getting closer to introspection.
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postoji mali porast knjiga koje se približavaju introspekciji.
06:54
But about four centuries before Christ,
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Međutim, oko četiri veka pre Hrista,
06:56
this starts ramping up very rapidly to an almost five-fold increase
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ovo počinje da se vrlo brzo pojačava do skoro petostrukog porasta
07:01
of books getting closer, and closer and closer
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knjiga koje se sve više i više približavaju
07:03
to the concept of introspection.
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konceptu introspekcije.
07:06
And one of the nice things about this
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Jedna od lepih stvari u vezi sa ovime je to što sada možemo da pitamo
07:08
is that now we can ask
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07:09
whether this is also true in a different, independent tradition.
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da li ovo takođe važi i u drugačijoj, nezavisnoj tradiciji.
07:14
So we just ran this same analysis on the Judeo-Christian tradition,
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Sproveli smo ovu istu analizu u judeo-hrišćanskoj tradiciji
07:18
and we got virtually the same pattern.
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i dobili gotovo isti obrazac.
07:21
Again, you see a small increase for the oldest books in the Old Testament,
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Još jednom, vidite mali porast u najstarijim knjigama Starog zaveta,
07:26
and then it increases much more rapidly
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a zatim se povećava mnogo brže
07:28
in the new books of the New Testament.
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u novim knjigama Novog zaveta.
Zatim dobijamo vrhunac introspekcije
07:30
And then we get the peak of introspection
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07:32
in "The Confessions of Saint Augustine,"
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u „Ispovestima“ Svetog Avgustina
07:34
about four centuries after Christ.
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oko četiri veka posle Hrista.
07:36
And this was very important,
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Ovo je bilo veoma značajno
07:38
because Saint Augustine had been recognized by scholars,
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jer Svetog Avgustina priznaju akademici,
07:42
philologists, historians,
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filolozi i istoričari
07:44
as one of the founders of introspection.
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kao jednog od osnivača introspekcije.
07:47
Actually, some believe him to be the father of modern psychology.
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Zapravo, neki ga smatraju ocem savremene psihologije.
07:51
So our algorithm,
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Dakle, naš algoritam,
07:52
which has the virtue of being quantitative,
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koji ima svojstvo kvantitativnosti,
07:55
of being objective,
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objektivnosti,
i naravno, izuzetno je brz -
07:57
and of course of being extremely fast --
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07:59
it just runs in a fraction of a second --
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izvršava se u svega deliću sekunde -
08:01
can capture some of the most important conclusions
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može da zabeleži neke od najvažnijih zaključaka
08:05
of this long tradition of investigation.
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ove duge tradicije istraživanja.
08:08
And this is in a way one of the beauties of science,
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Ovo je na neki način jedna od lepota nauke,
08:11
which is that now this idea can be translated
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a to je da se sada ova ideja može prevesti
08:15
and generalized to a whole lot of different domains.
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i generalizovati na mnogo različitih domena.
08:18
So in the same way that we asked about the past of human consciousness,
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Na isti način na koji smo se pitali o prošlosti ljudske svesti,
08:23
maybe the most challenging question we can pose to ourselves
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možda je najizazovnije pitanje koje možemo postaviti sebi
08:26
is whether this can tell us something about the future of our own consciousness.
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da li nam ovo može nešto reći o budućnosti naše svesti.
08:31
To put it more precisely,
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Preciznije rečeno,
08:33
whether the words we say today
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da li nam reči koje izgovaramo danas
08:35
can tell us something of where our minds will be in a few days,
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mogu reći nešto o tome gde će naš um biti za nekoliko dana,
08:40
in a few months
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za nekoliko meseci
08:41
or a few years from now.
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ili za nekoliko godina.
08:43
And in the same way many of us are now wearing sensors
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Kao što i mnogi od nas danas nose senzore
08:46
that detect our heart rate,
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koji detektuju naše otkucaje srca,
08:48
our respiration,
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naše disanje,
08:49
our genes,
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naše gene,
08:51
on the hopes that this may help us prevent diseases,
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u nadi da nam to može pomoći da sprečimo oboljenja,
08:55
we can ask whether monitoring and analyzing the words we speak,
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možemo se zapitati da li nam nadgledanje i analiziranje reči koje izgovorimo,
08:58
we tweet, we email, we write,
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tvitujemo, šaljemo imejlom i napišemo
09:01
can tell us ahead of time whether something may go wrong with our minds.
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može unapred reći da li nešto može da krene naopako sa našim umom.
09:07
And with Guillermo Cecchi,
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Sa Giljermom Sečijem,
09:08
who has been my brother in this adventure,
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koji je bio moj brat u ovoj avanturi,
09:11
we took on this task.
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upustio sam se u ovaj zadatak.
09:14
And we did so by analyzing the recorded speech of 34 young people
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To smo uradili analizom snimljenog govora 34 mladih ljudi
09:19
who were at a high risk of developing schizophrenia.
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koji su bili pod visokim rizikom obolevanja od šizofrenije.
09:23
And so what we did is, we measured speech at day one,
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Odredili smo mere govora prvog dana,
09:26
and then we asked whether the properties of the speech could predict,
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a zatim smo se zapitali da li se svojstva govora mogu predvideti
09:29
within a window of almost three years,
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u okviru perioda od skoro tri godine,
09:32
the future development of psychosis.
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budući razvoj psihoze.
09:35
But despite our hopes,
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Uprkos našim nadama,
09:37
we got failure after failure.
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naišli smo na neuspeh za neuspehom.
09:41
There was just not enough information in semantics
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Jednostavno nije bilo dovoljno semantičkih informacija
09:45
to predict the future organization of the mind.
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da bi se predvidela buduća organizacija uma.
09:48
It was good enough
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Bilo ih je dovoljno
09:50
to distinguish between a group of schizophrenics and a control group,
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za razlikovanje grupe šizofreničara od kontrolne grupe,
09:54
a bit like we had done for the ancient texts,
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pomalo kao što smo radili sa antičkim tekstovima,
09:57
but not to predict the future onset of psychosis.
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ali ne i da bi se prevideo budući nastanak psihoze.
10:01
But then we realized
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Međutim, onda smo shvatili
10:02
that maybe the most important thing was not so much what they were saying,
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da možda nije najvažnije šta su govorili,
10:07
but how they were saying it.
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već kako su to govorili.
10:09
More specifically,
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Konkretnije,
10:10
it was not in which semantic neighborhoods the words were,
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nije u pitanju to koliko su semantički bile bliske,
10:13
but how far and fast they jumped
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već koliko daleko i brzo su preskakale
10:16
from one semantic neighborhood to the other one.
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iz jedne semantičke blizine u drugu.
10:19
And so we came up with this measure,
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Tako smo došli do merila
10:21
which we termed semantic coherence,
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koji smo nazvali semantička koherentnost,
10:23
which essentially measures the persistence of speech within one semantic topic,
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koje u suštini meri istrajnost govora u okviru jedne semantičke teme,
10:28
within one semantic category.
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jedne semantičke kategorije.
10:31
And it turned out to be that for this group of 34 people,
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Ispostavilo se da je u ovoj grupi od 34 ljudi
10:35
the algorithm based on semantic coherence could predict,
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algoritam zasnovan na semantičkoj koherentnosti
mogao predvideti sa tačnošću od 100 odsto
10:39
with 100 percent accuracy,
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10:41
who developed psychosis and who will not.
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kod koga će se javiti psihoza, a kod koga neće.
10:44
And this was something that could not be achieved --
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To je nešto što se nije moglo postići,
10:47
not even close --
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čak ni približno,
10:49
with all the other existing clinical measures.
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sa svim ostalim postojećim kliničkim merilima.
10:54
And I remember vividly, while I was working on this,
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Jasno se sećam, dok sam radio na ovome,
10:58
I was sitting at my computer
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sedeo sam za svojim kompjuterom
11:00
and I saw a bunch of tweets by Polo --
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i video gomilu tvitova koje je objavio Polo.
11:03
Polo had been my first student back in Buenos Aires,
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Polo je bio moj prvi student u Buenos Ajresu,
11:06
and at the time he was living in New York.
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a u to vreme je živeo u Njujorku.
11:08
And there was something in this tweets --
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Bilo je nečeg u njegovim tvitovima -
11:10
I could not tell exactly what because nothing was said explicitly --
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nisam mogao da kažem šta je to tačno jer ništa nije eksplicitno rečeno -
11:14
but I got this strong hunch,
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ali mi se javila snažna slutnja,
11:16
this strong intuition, that something was going wrong.
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snažna intuicija da nešto nije u redu.
11:20
So I picked up the phone, and I called Polo,
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Uzeo sam telefon i pozvao Pola,
a on se zaista nije osećao dobro.
11:23
and in fact he was not feeling well.
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11:25
And this simple fact,
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Ovaj jednostavan podatak,
11:27
that reading in between the lines,
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to čitanje između redova
11:29
I could sense, through words, his feelings,
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pri čemu sam mogao kroz reči da osetim njegova osećanja,
11:34
was a simple, but very effective way to help.
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bio je jednostavan, ali vrlo efikasan način da se pomogne.
11:37
What I tell you today
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Ono što vam danas poručujem
11:39
is that we're getting close to understanding
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jeste da se približavamo razumevanju toga
11:42
how we can convert this intuition that we all have,
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kako možemo pretvoriti tu intuiciju koju svi imamo,
11:46
that we all share,
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koju svi delimo,
11:47
into an algorithm.
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u algoritam.
11:50
And in doing so,
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Na taj način,
11:51
we may be seeing in the future a very different form of mental health,
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možda ćemo u budućnosti videti vrlo drugačiji oblik mentalnog zdravlja,
11:56
based on objective, quantitative and automated analysis
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zasnovan na objektivnoj, kvantitativnoj i automatizovanoj analizi
12:01
of the words we write,
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reči koje pišemo
12:03
of the words we say.
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i reči koje izgovorimo.
12:05
Gracias.
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Hvala.
12:06
(Applause)
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(Aplauz)
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