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Theory of Knowledge - Course Companion for Students Marija Uzunova Dang Arvin Singh Uzunov Dang

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III. Methods and tools

proofs wr ritiizd as

Computr-assistd

rquiring too many logial

non-survyal,

to vrifial y humans. Tymozko

stps

that suh proofs wr hanging th

argud

of mathmatial proof, rplaing

natur

ddution with trust in an empirical

logial

pross. Apting th four-

omputational

thorm, for instan, rquirs hanging

olour

non-survyal or diffiult-to-survy proof

A

onvining and yt fail to nlightn

may

th link to this artil aout Doron

Follow

a mathmatiian at Rutgrs

Zilrgr,

trms: Quanta

Sarh

In omputrs

Magazin

Do you agr that omputr programs

1.

rditd as authors whn thy

should

or hlp prov, a mathmatial

prov,

thorm?

to stion I for a rmindr of Gödl’s

Rfr

thorm, thn onsidr ths

inompltnss

mathmatial proofs, thnology is

Byond

allowing mathmatiians to ollaorat

also

ral tim on onlin platforms, solvingprolms

in

togthr and vrifying thir

work. But it is th potntial

ollagus’

omputr mathmatiians, working

of

or for thir human ollagus, that

alongsid

xits many osrvrs, and prompts

most

argumnt ut as an osrvation,

mathmatial

this xposs mathmatis to a muh highr

and

do mathmatiians did whthr a

How

is survyal or not? Paul Tllr (1980)

proof

that this is ontingnt on tim and pla,

argus

th ailitis and tools of th ommunity of

on

attmpting to vrify it. It is a

mathmatiians

pross ontingnt on th mathmatial

soial

Survyaility may not an

ommunity.

quality of a proof, ut mor a rfltion

inhrnt

is rtainly not th last to hav

Hals

this prolm. Shinihi Mohizuki

nountrd

a 500-pag proof of th ABC

sumittd

in 2012, ut as of 2020 no on has

onjtur

For somthing to ount as mathmatial

2.

should humans al to

knowldg,

Do you think that in th futur ATPs ould

1.

th thorm?

ovrom

What would nd to happn for ATPs to

2.

th thorm?

ovrom

xampl, what ar mathmatial proofs

For

Thr is valu in oth knowing that

for?

is tru as wll as in how it was

somthing

Th st proofs rval dpr

solvd.

into mathmatis, xplaining “why”

insights

ar tru. What would it man to hav

things

don y omputr that no human

proofs

ould undrstand? What would w

ing

11

potntial for rror.

our undrstanding of “thorm” and “proof”.

th radr as to why it is tru; srving not as a

of th mathmatiians of th tim.

Box 11.2: “In computers we trust?”

Univrsity.

wtrust?

Considr th following qustion.

n al to vrify whthr it is orrt.

it, or is proof y omputr

undrstand

nough?

For reflection

Overcoming the limitations of

mathematics

qustions.

partiularly maningful TOK qustions.

los and gain?

340

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