Understanding Wurdle and Information Theory

Understanding Wurdle and Information Theory

Assessment

Interactive Video

Mathematics, Computers, Education

10th Grade - University

Practice Problem

Hard

Created by

Aiden Montgomery

FREE Resource

The video explores the viral game Wurdle as a tool for teaching information theory, focusing on entropy. It explains the game's rules and demonstrates how to develop an algorithm to play Wurdle optimally. The video delves into the concept of entropy, its calculation, and its application in refining the algorithm using word frequency data. Simulations are run to test the algorithm's performance, highlighting the balance between maximizing information and achieving a low average score.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main mathematical concept discussed in relation to Wurdle?

Probability

Entropy

Algebra

Geometry

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many chances do players get to guess the mystery word in Wurdle?

Five

Four

Six

Seven

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using letter frequencies in the Wurdle algorithm?

To make the game more challenging

To increase the number of guesses

To reduce the number of possible words

To improve the accuracy of guesses

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What unit is used to measure information in the context of Wurdle?

Kilobytes

Bits

Megabytes

Bytes

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of entropy in the Wurdle bot's decision-making process?

To increase the number of guesses

To decrease the complexity of the game

To ensure the bot always wins

To maximize the information gained from each guess

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the expected information gain from the word 'slate'?

5.8 bits

3.9 bits

4.9 bits

6.0 bits

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the average score achieved by the first version of the Wurdle bot?

3.6

4.124

5.0

3.0

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