Deborah Gordon: What ants teach us about the brain, cancer and the Internet

78,470 views ・ 2014-05-13

TED


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Prevodilac: Ivana Krivokuća Lektor: Mile Živković
00:13
I study ants
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Ja proučavam mrave
00:14
in the desert, in the tropical forest
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u pustinji, u tropskoj šumi
00:18
and in my kitchen,
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i u svojoj kuhinji
00:19
and in the hills around Silicon Valley where I live.
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kao i u brdima oko Silikonske doline, gde živim.
00:23
I've recently realized that ants
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Nedavno sam shvatila da mravi
00:25
are using interactions differently
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različito koriste interakcije u različitim okruženjima,
00:27
in different environments,
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i to me je navelo na razmišljanje
00:29
and that got me thinking that we could learn from this
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da bismo mogli da iz ovoga učimo o drugim sistemima,
00:31
about other systems,
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00:32
like brains and data networks that we engineer,
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kao što su mozgovi i mreže podataka kojima upravljamo,
00:38
and even cancer.
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pa čak i rak.
00:41
So what all these systems have in common
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Ono što svi ovi sistemi imaju zajedničko
00:43
is that there's no central control.
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jeste to da ne postoji centralna kontrola.
00:45
An ant colony consists of sterile female workers --
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Kolonija mrava se sastoji od sterilnih radilica -
00:49
those are the ants you see walking around —
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to su mravi koje viđate kako šetaju okolo -
00:52
and then one or more reproductive females
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i od jedne ili više reproduktivnih ženki
00:54
who just lay the eggs.
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koje samo polažu jaja.
00:56
They don't give any instructions.
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One ne daju nikakve instrukcije.
00:58
Even though they're called queens,
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Iako se nazivaju kraljicama,
01:00
they don't tell anybody what to do.
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one ne govore nikome šta da radi.
01:02
So in an ant colony, there's no one in charge,
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U koloniji mrava, niko nije nadležan,
01:05
and all systems like this without central control
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i svi sistemi bez centralne kontrole kao što je ovaj
01:08
are regulated using very simple interactions.
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se regulišu koristeći vrlo jednostavne interakcije.
01:12
Ants interact using smell.
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Mravi komuniciraju koristeći miris.
01:15
They smell with their antennae,
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Oni mirišu svojim antenama,
01:17
and they interact with their antennae,
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i komuniciraju svojim antenama,
01:20
so when one ant touches another with its antennae,
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tako da kada jedan mrav dodirne drugog svojim antenama,
01:23
it can tell, for example, if the other ant
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može zaključiti, na primer,
01:24
is a nestmate
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da li je drugi mrav iz iste kolonije
01:26
and what task that other ant has been doing.
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i kakav zadatak taj drugi mrav obavlja.
01:30
So here you see a lot of ants moving around
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Ovde vidite mnogo mrava koji se kreću okolo
01:33
and interacting in a lab arena
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i komuniciraju u laboratorijskoj areni
01:35
that's connected by tubes to two other arenas.
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koja je povezana cevima sa druge dve arene.
01:39
So when one ant meets another,
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Dakle, kada jedan mrav sretne drugog,
01:41
it doesn't matter which ant it meets,
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nije bitno kog mrava sretne,
01:43
and they're actually not transmitting
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i oni zapravo ne šalju
01:45
any kind of complicated signal or message.
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nikakav komplikovani signal ili poruku.
01:49
All that matters to the ant is the rate
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Sve što je bitno za mrava jeste tempo
01:51
at which it meets other ants.
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kojim sreće drugog mrava.
01:54
And all of these interactions, taken together,
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I sve ove interakcije, uzete zajedno,
01:56
produce a network.
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stvaraju mrežu.
01:59
So this is the network of the ants
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Ovo je mreža mrava
02:01
that you just saw moving around in the arena,
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koje ste malopre videli kako se kreću po areni,
02:04
and it's this constantly shifting network
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i ova stalno promenljiva mreža je ta
02:07
that produces the behavior of the colony,
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koja proizvodi ponašanje kolonije,
02:10
like whether all the ants are hiding inside the nest,
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kao što je to da li su svi mravi skriveni u gnezdu,
02:12
or how many are going out to forage.
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ili koliko njih izlazi u nabavku hrane.
02:15
A brain actually works in the same way,
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Mozak zapravo radi na isti način,
02:17
but what's great about ants is
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ali ono što je sjajno kod mrava je to što možete videti
02:18
that you can see the whole network as it happens.
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čitavu mrežu dok se to dešava.
02:23
There are more than 12,000 species of ants,
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Postoji više od 12 000 vrsta mrava,
02:26
in every conceivable environment,
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u svakoj sredini koju možete zamisliti,
02:29
and they're using interactions differently
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i različito koriste interakcije
02:31
to meet different environmental challenges.
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kako bi se suočile sa različitim izazovima sredine.
02:34
So one important environmental challenge
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Jedan značajan sredinski izazov
02:36
that every system has to deal with
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sa kojim svaki sistem mora da se suoči
02:38
is operating costs, just what it takes
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jesu operativni troškovi,
02:40
to run the system.
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ono što je potrebno za pokretanje sistema.
02:42
And another environmental challenge is resources,
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A drugi sredinski izazov su resursi,
02:45
finding them and collecting them.
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njihovo pronalaženje i prikupljanje.
02:47
In the desert, operating costs are high
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U pustinji, operativni troškovi su veliki
02:50
because water is scarce,
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jer nema dovoljno vode,
02:52
and the seed-eating ants that I study in the desert
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i mravi koje izučavam u pustinji koji jedu semenje
02:54
have to spend water to get water.
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moraju da troše vodu da bi došli do vode.
02:57
So an ant outside foraging,
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Dakle, mrav u potrazi za hranom,
02:59
searching for seeds in the hot sun,
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tragajući sa semenjem po vrućini,
03:01
just loses water into the air.
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samo gubi vodu u vazduh.
03:03
But the colony gets its water
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Ali kolonija dobija svoju vodu
03:05
by metabolizing the fats out of the seeds
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metabolišući masnoće iz semenki
03:07
that they eat.
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koje jedu.
03:09
So in this environment, interactions are used
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Dakle, u ovoj sredini, interakcije se koriste
za aktiviranje potrage za hranom.
03:12
to activate foraging.
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03:14
An outgoing forager doesn't go out unless
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Tragač ne kreće u potragu ako ne dobije
03:16
it gets enough interactions with returning foragers,
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dovoljno interakcije sa tragačima koji se vraćaju,
03:18
and what you see are the returning foragers
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i ono što vidite su tragači u povratku
03:20
going into the tunnel, into the nest,
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koji idu u tunel, u gnezdo,
03:22
and meeting outgoing foragers on their way out.
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i sreću tragače pri polasku napolje.
03:25
This makes sense for the ant colony,
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Ovo ima smisla za koloniju mrava,
03:26
because the more food there is out there,
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jer što više hrane ima napolju,
03:29
the more quickly the foragers find it,
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tragači će je brže naći,
03:31
the faster they come back,
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brže će se vratiti,
03:32
and the more foragers they send out.
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i više će tragača poslati napolje.
03:35
The system works to stay stopped,
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Sistem radi tako da ostaje zaustavljen,
03:37
unless something positive happens.
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dok se nešto pozitivno ne dogodi.
03:39
So interactions function to activate foragers.
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Tako interakcije funkcionišu da bi aktivirale tragače za hranom.
03:43
And we've been studying the evolution of this system.
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Izučavali smo evoluciju ovog sistema.
03:46
First of all, there's variation.
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Najpre, postoje varijacije.
03:47
It turns out that colonies are different.
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Ispostavilo se da su kolonije različite.
03:50
On dry days, some colonies forage less,
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Sušnim danima, neke kolonije manje tragaju za hranom,
03:52
so colonies are different in how
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dakle, kolonije se razlikuju po tome kako rukovode
03:54
they manage this trade-off
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03:55
between spending water to search for seeds
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ovom razmenom trošenja vode
da bi se tragalo za semenjem
03:58
and getting water back in the form of seeds.
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i ponovnog dobijanja vode u obliku semenja.
Pokušavamo da razumemo zašto neke kolonije
04:02
And we're trying to understand why
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04:03
some colonies forage less than others
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tragaju za hranom manje od drugih
04:05
by thinking about ants as neurons,
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razmišljajući o mravima kao o neuronima,
04:08
using models from neuroscience.
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koristeći modele iz neurologije.
04:10
So just as a neuron adds up its stimulation
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Kao što neuron sabira stimulaciju drugih neurona
04:13
from other neurons to decide whether to fire,
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da bi odlučio da li da se upali,
04:15
an ant adds up its stimulation from other ants
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mrav sabira stimulaciju drugih mrava
04:18
to decide whether to forage.
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da bi odlučio da li da traga za hranom.
04:20
And what we're looking for is whether there might be
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A ono što tražimo je da li bi moglo biti
04:21
small differences among colonies
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malih razlika među kolonijama
04:23
in how many interactions each ant needs
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u pogledu toga koliko je interakcija svakom mravu potrebno
pre nego što postane voljan da izađe u potragu za hranom,
04:27
before it's willing to go out and forage,
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04:29
because a colony like that would forage less.
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jer bi takva kolonija manje tragala za hranom.
04:32
And this raises an analogous question about brains.
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Ovo pokreće analogno pitanje o mozgovima.
04:35
We talk about the brain,
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Pričamo o mozgu,
04:37
but of course every brain is slightly different,
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ali naravno, svaki mozak je nešto drugačiji,
04:40
and maybe there are some individuals
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i možda ima nekih pojedinaca
04:41
or some conditions
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ili nekih uslova
04:42
in which the electrical properties of neurons are such
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u kojima su elektronska svojstva neurona takva
04:46
that they require more stimulus to fire,
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da zahtevaju više podsticaja da bi opalili,
04:50
and that would lead to differences in brain function.
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a to bi dovelo do razlika u funkciji mozga.
04:53
So in order to ask evolutionary questions,
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Dakle, da bismo postavili evoluciona pitanja,
04:56
we need to know about reproductive success.
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potrebno je da saznamo o reproduktivnom uspehu.
04:58
This is a map of the study site
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Ovo je mapa mesta istraživanja
05:01
where I have been tracking this population
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gde sam pratila ovu populaciju
05:03
of harvester ant colonies for 28 years,
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kolonija mrava žetelaca kroz 28 godina,
05:06
which is about as long as a colony lives.
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što je otprilike onoliko koliko kolonija živi.
05:09
Each symbol is a colony,
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Svaki simbol je kolonija,
05:11
and the size of the symbol is how many offspring it had,
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a veličina simbola označava koliko je imala potomaka,
05:14
because we were able to use genetic variation
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jer smo mogli da koristimo genetske varijacije
05:16
to match up parent and offspring colonies,
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da bismo spojili kolonije roditelja i potomaka,
05:19
that is, to figure out which colonies
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odnosno, da bismo otkrili koje kolonije
05:22
were founded by a daughter queen
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je osnovala ćerka kraljica
05:24
produced by which parent colony.
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i koja roditeljska kolonija ju je stvorila.
05:26
And this was amazing for me, after all these years,
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Ovo je bilo neverovatno za mene,
05:28
to find out, for example, that colony 154,
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otkriti posle svih tih godina, na primer, da kolonija 154,
05:31
whom I've known well for many years,
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koju sam dobro znala mnogo godina,
05:33
is a great-grandmother.
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je prababa.
05:35
Here's her daughter colony,
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Ovo je njena ćerka kolonija,
05:37
here's her granddaughter colony,
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ovo je njena unuka kolonija,
05:40
and these are her great-granddaughter colonies.
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a ovo su njene praunuke kolonije.
05:42
And by doing this, I was able to learn
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Radeći ovo, mogla sam da saznam
05:44
that offspring colonies resemble parent colonies
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da kolonije potomaka podsećaju na kolonije roditelja
05:47
in their decisions about which days are so hot
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po svojim odlukama o tome koji dani su toliko vreli
05:49
that they don't forage,
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da neće ići u potragu za hranom,
05:51
and the offspring of parent colonies
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a potomci roditeljskih kolonija
05:53
live so far from each other that the ants never meet,
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žive međusobno toliko daleko da se mravi nikada ne sreću,
05:56
so the ants of the offspring colony
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tako da mravi kolonije potomka
05:58
can't be learning this from the parent colony.
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ne mogu da ovo nauče od kolonije roditelja.
06:00
And so our next step is to look
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Naš sledeći korak je bio da potražimo genetsku varijaciju
06:02
for the genetic variation underlying this resemblance.
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koja se nalazi u osnovi ove sličnosti.
06:07
So then I was able to ask, okay, who's doing better?
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Tada sam mogla da pitam, okej, kome ide bolje?
06:11
Over the time of the study,
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Vremenom kroz istraživanje,
06:12
and especially in the past 10 years,
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naročito u poslednjih 10 godina,
06:14
there's been a very severe and deepening drought
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došlo je do veoma teške i zaoštravajuće suše
06:17
in the Southwestern U.S.,
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u jugozapadu SAD-a,
06:19
and it turns out that the colonies that conserve water,
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i ispostavilo se da kolonije koje čuvaju vodu,
06:22
that stay in when it's really hot outside,
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koje ostaju unutra kada je zaista vruće napolju,
06:27
and thus sacrifice getting as much food as possible,
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i tako žrtvuju pribavljanje što više moguće hrane,
06:29
are the ones more likely to have offspring colonies.
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su one koje će verovatnije imati kolonije potomaka.
06:32
So all this time, I thought that colony 154
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Sve ovo vreme sam mislila
da je kolonija 154 gubitnik, jer bi veoma vrelih dana
06:35
was a loser, because on really dry days,
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06:37
there'd be just this trickle of foraging,
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bilo samo mrvica prikupljene hrane,
06:39
while the other colonies were out
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dok su druge kolonije bile napolju u traganju, pribavljajući dosta hrane,
06:41
foraging, getting lots of food,
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06:43
but in fact, colony 154 is a huge success.
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ali u stvari, kolonija 154 je veoma uspešna.
06:46
She's a matriarch.
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Ona je matrijarh.
06:47
She's one of the rare great-grandmothers on the site.
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Ona je jedna od retkih prababa na lokaciji.
06:50
To my knowledge, this is the first time
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Koliko ja znam, ovo je prvi put
06:53
that we've been able to track
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da smo mogli da pratimo
06:55
the ongoing evolution of collective behavior
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evoluciju kolektivnog ponašanja dok se ona odvija
06:58
in a natural population of animals
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u prirodnoj populaciji životinja
07:00
and find out what's actually working best.
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i saznamo šta zaista najbolje funkcioniše.
07:04
Now, the Internet uses an algorithm
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Internet koristi algoritam
07:07
to regulate the flow of data
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da bi regulisao protok podataka
07:10
that's very similar to the one
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koji je veoma sličan onome
07:12
that the harvester ants are using to regulate
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koji mravi žeteoci koriste za regulaciju
07:14
the flow of foragers.
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kretanja tragača za hranom.
07:16
And guess what we call this analogy?
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Pogodite kako zovemo ovu analogiju?
07:19
The anternet is coming.
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Anternet stiže.
07:21
(Applause)
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(Aplauz)
07:23
So data doesn't leave the source computer
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Podaci ne napuštaju izvorni računar
07:26
unless it gets a signal that there's enough bandwidth
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dok ne dobiju signal da je širina opsega dovoljna
07:29
for it to travel on.
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da bi putovali.
07:32
In the early days of the Internet,
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Ranih dana interneta,
07:33
when operating costs were really high
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kada su operativni troškovi bili vrlo visoki
07:35
and it was really important not to lose any data,
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i bilo je jako važno ne gubiti nimalo podataka,
07:38
then the system was set up for interactions
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sistem je bio podešen za interakcije
07:41
to activate the flow of data.
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da bi aktivirao protok podataka.
07:44
It's interesting that the ants are using an algorithm
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Interesantno je da mravi koriste algoritam
07:46
that's so similar to the one that we recently invented,
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koji je toliko sličan onome koji smo skoro pronašli,
07:50
but this is only one of a handful of ant algorithms
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ali je to samo jedan u mnoštvu mravljih algoritama
07:53
that we know about,
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za koje znamo,
07:54
and ants have had 130 million years
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a mravi su imali 130 miliona godina
07:58
to evolve a lot of good ones,
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da razviju dosta onih dobrih,
08:00
and I think it's very likely
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i mislim da je veoma verovatno
08:01
that some of the other 12,000 species
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da će neke od ostalih 12 000 vrsta
08:04
are going to have interesting algorithms
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imati zanimljive algoritme
08:06
for data networks
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1024
za mreže podataka
08:07
that we haven't even thought of yet.
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o kojima mi još nismo ni razmišljali.
08:10
So what happens when operating costs are low?
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Šta se dešava kada su operativni troškovi niski?
08:13
Operating costs are low in the tropics,
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Operativni troškovi su niski u tropskim krajevima,
08:15
because it's very humid, and it's easy for the ants
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jer je veoma vlažno, i mravima je lako
08:17
to be outside walking around.
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da budu napolju krećući se unaokolo.
08:20
But the ants are so abundant
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Ali mravi su toliko rasprostranjeni i raznovrsni u tropskim krajevima
08:22
and diverse in the tropics
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08:23
that there's a lot of competition.
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da ima mnogo konkurencije.
08:26
Whatever resource one species is using,
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Koji god resurs jedna vrsta koristi,
08:28
another species is likely to be using that
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druga vrsta ga verovatno
08:31
at the same time.
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istovremeno koristi.
08:33
So in this environment, interactions are used
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Stoga se u ovoj sredini interakcije koriste
08:36
in the opposite way.
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516530
1945
na suprotan način.
08:38
The system keeps going
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1395
Sistem nastavlja da radi dok se nešto negativno ne desi,
08:39
unless something negative happens,
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1554
08:41
and one species that I study makes circuits
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i jedna vrsta koju izučavam
08:43
in the trees of foraging ants
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pravi kružne putanje u drveću mrava sakupljača
08:45
going from the nest to a food source and back,
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idući od gnezda do izvora hrane i nazad,
08:48
just round and round,
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1329
samo ukrug i ukrug, dok se nešto negativno ne desi,
08:50
unless something negative happens,
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08:51
like an interaction
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kao što je interakcija
08:53
with ants of another species.
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sa mravima druge vrste.
08:55
So here's an example of ant security.
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Evo primera mravljeg obezbeđenja.
08:58
In the middle, there's an ant
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U sredini se nalazi mrav koji zapušava ulaz u gnezdo svojom glavom
09:00
plugging the nest entrance with its head
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09:03
in response to interactions with another species.
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kao odgovor na interakcije sa drugim vrstama.
09:06
Those are the little ones running around
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To su malecki koji trče okolo
09:07
with their abdomens up in the air.
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sa svojim trbusima izbačenim u vazduhu.
09:10
But as soon as the threat is passed,
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2046
Ali čim pretnja prođe,
09:12
the entrance is open again,
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ulaz je ponovo otvoren,
09:15
and maybe there are situations
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i možda ima situacija
u kompjuterskoj bezbednosti
09:17
in computer security
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1089
09:18
where operating costs are low enough
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2206
gde su operativni troškovi dovoljno niski
09:20
that we could just block access temporarily
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da možemo da samo blokiramo pristup privremeno,
09:23
in response to an immediate threat,
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kao odgovor na trenutnu pretnju,
09:25
and then open it again,
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2026
i zatim ga ponovo otvorimo,
09:27
instead of trying to build
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umesto pokušaja da izgradimo
09:29
a permanent firewall or fortress.
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trajni zaštitni zid ili tvrđavu.
09:33
So another environmental challenge
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573240
1940
Drugi sredinski izazov
09:35
that all systems have to deal with
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1695
kojim svi sistemi moraju da se bave
09:36
is resources, finding and collecting them.
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jesu resursi, njihovo pronalaženje i prikupljanje.
09:42
And to do this, ants solve the problem
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A da bi to činili, mravi rešavaju problem
09:44
of collective search,
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kolektivne potrage,
09:45
and this is a problem that's of great interest
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1576
i to je problem koji je sada
09:46
right now in robotics,
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1484
od velikog značaja u robotici,
09:48
because we've understood that,
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jer smo shvatili da,
09:50
rather than sending a single,
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1614
umesto slanja jednog,
09:51
sophisticated, expensive robot out
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3495
sofisticiranog, skupog robota
09:55
to explore another planet
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da istraži drugu planetu
09:56
or to search a burning building,
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ili da pretraži zgradu koja gori,
09:59
that instead, it may be more effective
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da umesto toga, može biti efektivnije
10:01
to get a group of cheaper robots
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uzeti grupu jeftinijih robota
10:06
exchanging only minimal information,
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koji će razmenjivati samo minimum informacija,
10:08
and that's the way that ants do it.
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a to je način na koji mravi to čine.
10:11
So the invasive Argentine ant
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611464
1765
Tako invazivni argentinski mrav
10:13
makes expandable search networks.
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pravi proširive mreže pretrage.
10:15
They're good at dealing with the main problem
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2273
Oni su dobri u bavljenju glavnim problemom
10:17
of collective search,
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kolektivne potrage,
10:19
which is the trade-off between
250
619163
2566
a to je kompromis između
10:21
searching very thoroughly
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1336
vrlo temeljnog traganja
10:23
and covering a lot of ground.
252
623065
1997
i pokrivanja mnogo zemlje.
A ono što rade jeste,
10:25
And what they do is,
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895
10:25
when there are many ants in a small space,
254
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2387
kada ima mnogo mrava na malom prostoru,
10:28
then each one can search very thoroughly
255
628344
2213
onda svaki od njih može da traži vrlo temeljno
10:30
because there will be another ant nearby
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630557
1624
jer će biti drugi mrav u blizini
10:32
searching over there,
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1357
koji traga tamo,
10:33
but when there are a few ants
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1647
ali kada ima malo mrava
10:35
in a large space,
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2055
na velikom prostoru,
10:37
then they need to stretch out their paths
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2414
onda treba da rašire svoje putanje
10:39
to cover more ground.
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1803
da bi pokrili više terena.
10:41
I think they use interactions to assess density,
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2954
Mislim da koriste interakcije da procene gustinu,
10:44
so when they're really crowded,
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1229
pa kada je stvarno gužva,
10:45
they meet more often,
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1102
češće se sreću,
10:46
and they search more thoroughly.
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2465
i tragaju temeljnije.
10:49
Different ant species must use different algorithms,
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3400
Različite vrste mrava moraju koristiti različite algoritme,
10:52
because they've evolved to deal with
267
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2522
jer su evoluirali da se bave
10:55
different resources,
268
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1671
različitim resursima,
10:56
and it could be really useful to know about this,
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2559
i može biti korisno znati,
10:59
and so we recently asked ants
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1642
nedavno smo tražili od mrava
11:01
to solve the collective search problem
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2450
da reše problem kolektivne potrage
11:03
in the extreme environment
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u ekstremnoj sredini
11:04
of microgravity
273
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1558
mikrogravitacije
11:06
in the International Space Station.
274
666377
1976
u Međunarodnoj svemirskoj stanici.
11:08
When I first saw this picture, I thought,
275
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1545
Kada sam prvi put videla ovu sliku,
11:09
Oh no, they've mounted the habitat vertically,
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2857
pomislila sam: O ne, montirali su stanište vertikalno,
11:12
but then I realized that, of course, it doesn't matter.
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2618
ali onda sam shvatila da, naravno, to nije bitno.
11:15
So the idea here is that the ants
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2637
Dakle, ideja je da mravi
11:18
are working so hard to hang on
279
678010
1970
rade tako vredno da vise
11:19
to the wall or the floor or whatever you call it
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3057
na zidu ili podu ili kako god ga nazovete,
11:23
that they're less likely to interact,
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3009
da je manje verovatno da će komunicirati,
i tako bi se poremetio odnos
11:26
and so the relationship between
282
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1244
11:27
how crowded they are and how often they meet
283
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2120
između toga kolika je gužva i koliko se često sreću.
11:29
would be messed up.
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1725
Još uvek analiziramo podatke.
11:31
We're still analyzing the data.
285
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1395
11:32
I don't have the results yet.
286
692530
1964
Još uvek nemam rezultate.
11:34
But it would be interesting to know
287
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1694
Ali bi bilo zanimljivo znati kako druge vrste
11:36
how other species solve this problem
288
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2459
rešavaju ovaj problem u različitim sredinama na Zemlji,
11:38
in different environments on Earth,
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i stoga uspostavljamo program
11:41
and so we're setting up a program
290
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1266
11:42
to encourage kids around the world
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2160
da bismo podstakli decu širom sveta
11:44
to try this experiment with different species.
292
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2536
da probaju ovaj eksperiment sa različitim vrstama.
11:47
It's very simple.
293
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1767
Veoma je jednostavno.
11:48
It can be done with cheap materials.
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2090
Može se uraditi sa jeftinim materijalima.
11:51
And that way, we could make a global map
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2833
I na taj način možemo napraviti globalnu mapu
11:53
of ant collective search algorithms.
296
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3347
mravljih algoritama kolektivne potrage.
I mislim da je prilično verovatno da će invazivne vrste,
11:57
And I think it's pretty likely that the invasive species,
297
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2483
11:59
the ones that come into our buildings,
298
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2149
one koje dolaze u naše zgrade,
12:01
are going to be really good at this,
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1742
biti jako dobre u ovome,
12:03
because they're in your kitchen
300
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1848
zato što su u našoj kuhinji
12:05
because they're really good at finding food and water.
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3907
jer su jako dobri u pronalaženju vode i hrane.
12:09
So the most familiar resource for ants
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3265
Najpoznatiji resurs za mrave
12:12
is a picnic,
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1315
je piknik,
12:13
and this is a clustered resource.
304
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2145
a to je resurs na jednom mestu.
Kada je tu jedan komad voća,
12:16
When there's one piece of fruit,
305
736064
999
12:17
there's likely to be another piece of fruit nearby,
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2515
verovatno će tu biti i drugo parče voća u blizini,
12:19
and the ants that specialize on clustered resources
307
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3432
i mravi koji su specijalizovani za grupisane resurse
12:23
use interactions for recruitment.
308
743010
1942
koriste interakcije za regrutovanje.
12:24
So when one ant meets another,
309
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1277
Kada jedan mrav sretne drugog,
12:26
or when it meets a chemical deposited
310
746229
1625
ili kada naiđe na hemijske nanose
12:27
on the ground by another,
311
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1736
na zemlji od drugog,
12:29
then it changes direction to follow
312
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1833
onda menja pravac da bi išao
12:31
in the direction of the interaction,
313
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1573
u pravcu interakcije,
12:32
and that's how you get the trail of ants
314
752996
1977
i tako dobijate putanju mrava
12:34
sharing your picnic.
315
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1413
koji dele vaš piknik.
12:36
Now this is a place where I think we might be able
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1695
Ovde mislim da možemo
12:38
to learn something from ants about cancer.
317
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3741
naučiti nešto od mrava o raku.
12:41
I mean, first, it's obvious that we could do a lot
318
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1981
Mislim, prvo, očigledno je da bismo mogli
12:43
to prevent cancer
319
763803
1610
učiniti puno toga da sprečimo rak
12:45
by not allowing people to spread around
320
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2577
ne dozvoljavajući ljudima da šire okolo
12:47
or sell the toxins that promote
321
767990
1944
ili prodaju toksine koji podstiču
12:49
the evolution of cancer in our bodies,
322
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2780
razvoj raka u našim telima,
12:52
but I don't think the ants can help us much with this
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2346
ali ne mislim da nam mravi mogu mnogo pomoći sa ovim
12:55
because ants never poison their own colonies.
324
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3358
jer mravi nikada ne truju sopstvene kolonije.
12:58
But we might be able to learn something from ants
325
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1332
Ali možda možemo naučiti nešto od mrava
12:59
about treating cancer.
326
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1763
o lečenju raka.
13:01
There are many different kinds of cancer.
327
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2225
Postoji mnogo različitih vrsta raka.
13:03
Each one originates in a particular part of the body,
328
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2978
Svaki od njih potiče iz određenog dela tela,
13:06
and then some kinds of cancer will spread
329
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2966
i zatim, neke vrste raka će se raširiti ili metastazirati
13:09
or metastasize to particular other tissues
330
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2830
do drugih određenih tkiva
13:12
where they must be getting resources that they need.
331
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2880
gde moraju pribaviti sredstva koja su im potrebna.
13:15
So if you think from the perspective
332
795392
1808
Ako razmišljate iz perspektive
13:17
of early metastatic cancer cells
333
797200
1950
ranih metastazirajućih ćelija raka
13:19
as they're out searching around
334
799150
1623
dok tragaju unaokolo
13:20
for the resources that they need,
335
800773
2317
za resursima koji su im potrebni,
13:23
if those resources are clustered,
336
803090
1983
ako su ti resursi grupisani,
13:25
they're likely to use interactions for recruitment,
337
805073
3013
verovatno je da će koristiti interakcije za regrutaciju,
13:28
and if we can figure out how cancer cells are recruiting,
338
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3093
a ako možemo da otkrijemo kako se ćelije raka okupljaju,
13:31
then maybe we could set traps
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2347
onda bismo možda mogli da postavimo zamke
13:33
to catch them before they become established.
340
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4049
da ih uhvatimo pre nego se uspostave.
13:37
So ants are using interactions in different ways
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3235
Dakle, mravi koriste interakcije na različite načine
13:40
in a huge variety of environments,
342
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2602
u mnogim različitim sredinama,
13:43
and we could learn from this
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1821
i možemo naučiti iz ovoga
13:45
about other systems that operate
344
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1777
o drugim sistemima koji rade
13:47
without central control.
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2337
bez centralne kontrole.
13:49
Using only simple interactions,
346
829347
1979
Koristeći samo proste interakcije,
13:51
ant colonies have been performing
347
831326
1795
kolonije mrava vrše neverovatne podvige
13:53
amazing feats for more than 130 million years.
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3633
više od 130 miliona godina.
13:56
We have a lot to learn from them.
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2140
Imamo mnogo da naučimo od njih.
13:58
Thank you.
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2738
Hvala vam.
14:01
(Applause)
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(Aplauz)
About this website

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