https://www.3blue1brown.com/lessons/wordle
A lesson on information theory and Shannon entropy, told through an exploration of writing a Wordle solver. ... Solving Wordle using information theory. Published . Feb 6, 2022Lesson by Grant Sanderson. Source Code. Thanks. Special thanks to those below for supporting the original video behind this post, and to current patrons for funding

https://michaelhotaling.github.io/blog/wordle_info_theory/
Solving Wordle Using Information Theory. Wordle has gone pretty viral in the last couple months. It's a very simple game where you have to guess a five letter word within six guesses. Each guess reveals some information about what letters are in the word and in what positions. The faster you get the word, the better your score.

https://www.youtube.com/watch?v=v68zYyaEmEA
An excuse to teach a lesson on information theory and entropy.Special thanks to these supporters: https://3b1b.co/lessons/wordle#thanksHelp fund future proje

https://towardsdatascience.com/information-theory-applied-to-wordle-b63b34a6538e
Wordle. Alright, enough theory, let's solve Wordle! The Rules. The goal of Wordle is to guess the 5 letter word. You are given 6 guesses, every time you guess you receive information about the hidden word depending on what you guessed. After answering each letter will either be green, amber or gray. Green means the letter is in the correct

https://www.scientificamerican.com/article/information-theory-finds-the-best-wordle-starting-words1/
As it turns out, the word "soare" (an obsolete term for a young hawk) performs best, with an expected value of 5.89 bits. This means that if you start with this word, the space of possible

https://botis.io/posts/bsolving-wordle-using-information-theory/
The program plays every possible Wordle game and uses the actual Wordle answers (2,315 words) as a testing set. With this naive method of not considering how common a word is, the average score works out to be about 4.124. To improve the score, we need to incorporate whether or not a word is common.

https://tomrocksmaths.files.wordpress.com/2023/07/using-information-entropy-to-e28098solve-wordle.pdf
This is the basis of how information theory can be used to strategically solve Wordle. As I mentioned earlier, different base numbers can be used. Two, however, is the cleanest with its relation to how it cuts the space of possibility. Another common unit used is the nat, which is the natural unit for information.

https://www.cst.cam.ac.uk/news/science-behind-viral-wordle-video
Solving Wordle using information theory "There's a fantastic video by the YouTube channel 3Blue1Brown that addresses all three of these critiques with fantastic visualisations of information theory," Zeb says. "He found 'soare' to maximise entropy for the first step - but looked two steps in to find 'slane' to be better, while 'salet

https://sciencefocus.hkust.edu.hk/demystifying-wordle-a-crash-course-in-information-theory
Wordle is not just a one-guess game; your next guesses also matter, and it can be useful to see how the next guess plays out when you use your first word. By also considering the average information obtained from an optimal second guess, we get that the best first guess is "SLANE", a type of spade in Ireland, giving an average of 10.04 bits

https://www.classcentral.com/course/youtube-solving-wordle-using-information-theory-105183
The course teaches learners how to solve Wordle using information theory and entropy. The learning outcomes include understanding Wordle, exploring initial ideas, grasping information theory basics, incorporating word frequencies, and achieving final performance. The course covers topics such as Wordle, initial ideas, information theory basics

https://frapria.github.io/blog/wordle_entropy
Finding the optimal strategy to win at wordle exploiting information theory. Published on January 02, 2023 by Francesca Priante. Entropy Information theory R. Wordle is an online game designed by Josh Wardle (no pun intended). The goal is to guess a 5 letters word, given 3 types of clues derived by the game: right letter in the right place

https://docta.ucm.es/bitstreams/ada28fb3-048f-46c3-9bfd-e938f3111b52/download
Wordle solving algorithms using Information Theory Algoritmos de resolución de Wordle usando Teoría de la Información Authors: Ángel Benítez Gómez and Enrique Cavanillas Puga Supervisor: Manuel Núñez García Final Degree Project of the Double Degree in Computer Science Engineering and Mathematics Faculty of Computer Science

https://arxiv.org/pdf/2205.11225.pdf
One simple way for computers to solve Wordle is using the hard mode strategy. Assume that we have randomly chosen a first guess, 1, and have received the response 𝑅1. With this piece of information, we may reduce the size of 𝑪 with the following observation. Principle HM: ∈ 𝑪 cannot be the answer, if we

https://www.reddit.com/r/wordle/comments/sni79p/3blue1brown_solving_wordle_using_information/
3Blue1Brown: Solving Wordle using information theory. CRANE or CRIME are quite good opening words. But then so is anything that has a middle and ending vowel (PLANE, BLAME, ARISE, SPOKE, SLIME, PLATE, GRADE, SPADE) as that's a common ordering of letters for a 5-letter word.

https://medium.com/analytics-vidhya/alphawordle-4b8eedad3073
Create a candidate_list of all possible five-letter english words. Create an empty rule_list of rules that stores the feedback you get Repeat until you guess the WORDLE: Pick a word from the

https://nhsjs.com/2024/using-information-theory-to-play-wordle-as-optimally-as-possible/
Wordle is a game where the player must guess a secret word within 6 chances. With each guess, the player obtains information in the form of a pattern, which shows how close the guess is to the secret word. The goal of the game is to guess the secret word with as few guesses as possible, and the most efficient way to solve this game is through

https://hackaday.com/2022/02/08/wordle-reverse-engineering-and-automated-solving/
It's somehow linked to information theory, in that there's a tiny amount of information that leads to a unique answer. ... [Three blue one brown] had a good video on solving Wordle using

https://www.reddit.com/r/3Blue1Brown/comments/soz168/3blue1browns_excellent_youtube_video_solving/
3Blue1Brown's excellent YouTube video (Solving Wordle using information theory) -- For each move, his solver evaluates thousands of possible moves and picks the one that gives the best expected info value (entropy) --- is this practical with a regular home PC (or Smartphone) ?

https://orenbell.com/finding-optimal-guesses-in-wordle-using-entropy/
There's been a lot of strategies to find optimal guesses in wordle. Some involving letter frequencies or linquistics. Here we're going to examine the fundamental principles on how information is conveyed and use entropy to solve wordle. All code is available on my github. Introduction to Entropy. Imagine a coin flip. Two options: heads and

https://www.imdb.com/title/tt18777326/
Solving Wordle using information theory: With Grant Sanderson. Grant sets his sights on creating an algorithm to optimally solve the word game Wordle where players try to guess a secret work and are given hints based on their guesses. But grant is being a bit sly because he's really trying to keep you entertained while he teaches you some concepts in information theory.

https://www.reddit.com/r/words/comments/14ez4wf/solving_wordle_using_information_theory/
Solving Wordle using information theory. comments sorted by Best Top New Controversial Q&A Add a Comment ... The other CRANE was the word so if you started with CRANE you would have gotten Wordle in 1. Reply More posts you may like. r

https://nhsjs.com/wp-content/uploads/2024/04/Using-Information-Theory-to-Play-Wordle-as-Optimally-as-Possible.pdf
mathematical background using information theory, formally defines the problem and explains the rules of the game, and proposes an algorithmic solution which was developed using Google Colab. It also discusses how the algorithm is implemented in python as ... solve wordle optimally by converting a word to a column vector

https://wordlesstech.com/solving-wordle-using-information-theory/
Solving Wordle using information theory. An excuse to teach a lesson on information theory and entropy. By Agis F | 2022-02-15T16:53:18+02:00 Feb 15, 2022 | Categories: Technology news | Related Posts . ForestGuard Fire Detection system. Jun 6, 2024 | 0 Comments.

https://www.nytimes.com/2024/06/10/crosswords/unwinding-wordle-tips.html
If you run into trouble during your solve, an additional tool you can check out is the Wordle Review for that day's puzzle, which will give you two of the five letters in the solution. Once you

https://mashable.com/article/wordle-today-answer-june-20-2024
Here's the answer for "Wordle" #1097 on June 20, as well as a few hints, tips, and clues to help you solve it yourself. Amazon Prime Day Tech Science Life Social Good Entertainment Deals Shopping

https://www.mdpi.com/2079-9292/13/13/2471
In this paper, an intelligent stochastic model is recommended for the optimization of a hybrid system that encompasses wind energy sources, battery storage, combined heat and power generation, and thermal energy storage (Wind/Battery/CHP/TES), with the inclusion of electric and thermal storages through the cloud theory model. The framework aims to minimize the costs of planning, such as