Theory of Knowledge
Theory of Knowledge
13
Chapters
165
Notes
Chapter 1 - Knowledge & The Knower(Core)
Chapter 1 - Knowledge & The Knower(Core)
Chapter 2 - Knowledge & Technology(Optional)
Chapter 2 - Knowledge & Technology(Optional)
Chapter 3 - Knowledge & Language(Optional)
Chapter 3 - Knowledge & Language(Optional)
Chapter 4 - Knowledge & Politics(Optional)
Chapter 4 - Knowledge & Politics(Optional)
Chapter 5 - Knowledge & Religion(Optional)
Chapter 5 - Knowledge & Religion(Optional)
Chapter 6 - Knowledge & Indigenous Societies(Optional)
Chapter 6 - Knowledge & Indigenous Societies(Optional)
Chapter 7 - History(AoK)
Chapter 7 - History(AoK)
Chapter 8 - The Human Sciences(AoK)
Chapter 8 - The Human Sciences(AoK)
Chapter 9 - The Natural Sciences(AoK)
Chapter 9 - The Natural Sciences(AoK)
Chapter 10 - The Arts(AoK)
Chapter 10 - The Arts(AoK)
Chapter 11 - Mathematics(AoK)
Chapter 11 - Mathematics(AoK)
Chapter 12 - ToK Exhibition
Chapter 12 - ToK Exhibition
Chapter 13 - ToK Essay
Chapter 13 - ToK Essay
IB Resources
Chapter 11 - Mathematics(AoK)
Theory of Knowledge
Theory of Knowledge

Chapter 11 - Mathematics(AoK)

Unraveling Non-Surveyable Proofs: Trust in Computational Mathematics?

Word Count Emoji
641 words
Reading Time Emoji
4 mins read
Updated at Emoji
Last edited on 5th Nov 2024

Table of content

Alright, young explorers, fasten your seatbelts as we dive into the world of proofs and the mathematical universe!

What's in a name - non-surveyable proof

Our pal, Thomas Tymoczko, came up with this fancy term 'non-surveyable proof.' Imagine a proof so massive and complicated that humans have a tough time verifying it - a bit like trying to read a giant book, but the pages keep multiplying. Like the 1979 computer-assisted proof of the four-color theorem by Appel and Haken - it's a biggie! Picture you're given only four colors and asked to color a map in such a way that no two adjacent areas have the same color. A computer cracked this riddle in 1979!

The proof trifecta

Tymoczko suggests a proof must meet three criteria, like a pie split into three slices.

  • Convincingness: The proof should be persuasive, like a good salesman selling its conclusion.
  • Surveyability: The proof should be manageable for humans to verify, like being able to read and understand a book.
  • Formalizability: The proof should only use logical relationships between concepts, like building a LEGO model using only the given instructions.

Computer assisted proofs – the new kids on the block

Some folks criticized these computer whizzes, calling their proofs non-surveyable. Imagine trying to follow a robot's instruction manual, but the instructions are too many to handle. Tymoczko reckoned these computerized proofs were changing the game, replacing the good old logical deduction with trust in computational processes. This is like accepting a delicious cake baked by a robot without knowing the recipe.

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IB Resources
Chapter 11 - Mathematics(AoK)
Theory of Knowledge
Theory of Knowledge

Chapter 11 - Mathematics(AoK)

Unraveling Non-Surveyable Proofs: Trust in Computational Mathematics?

Word Count Emoji
641 words
Reading Time Emoji
4 mins read
Updated at Emoji
Last edited on 5th Nov 2024

Table of content

Alright, young explorers, fasten your seatbelts as we dive into the world of proofs and the mathematical universe!

What's in a name - non-surveyable proof

Our pal, Thomas Tymoczko, came up with this fancy term 'non-surveyable proof.' Imagine a proof so massive and complicated that humans have a tough time verifying it - a bit like trying to read a giant book, but the pages keep multiplying. Like the 1979 computer-assisted proof of the four-color theorem by Appel and Haken - it's a biggie! Picture you're given only four colors and asked to color a map in such a way that no two adjacent areas have the same color. A computer cracked this riddle in 1979!

The proof trifecta

Tymoczko suggests a proof must meet three criteria, like a pie split into three slices.

  • Convincingness: The proof should be persuasive, like a good salesman selling its conclusion.
  • Surveyability: The proof should be manageable for humans to verify, like being able to read and understand a book.
  • Formalizability: The proof should only use logical relationships between concepts, like building a LEGO model using only the given instructions.

Computer assisted proofs – the new kids on the block

Some folks criticized these computer whizzes, calling their proofs non-surveyable. Imagine trying to follow a robot's instruction manual, but the instructions are too many to handle. Tymoczko reckoned these computerized proofs were changing the game, replacing the good old logical deduction with trust in computational processes. This is like accepting a delicious cake baked by a robot without knowing the recipe.

Unlock the Full Content! File Is Locked Emoji

Dive deeper and gain exclusive access to premium files of Theory of Knowledge. Subscribe now and get closer to that 45 🌟