Usage of Information Entropy in Solving the World Game

The wordle game is a game that has gained great popularity this year, with many players sharing their gameresults on social networks. A five-letter word is selected each day which players have six chances to find, where aftereach guess the player is given clues as to which letter is in the final answer or even in the correct position. What wouldbe the optimal word that would lead us to the final answer, and what are the chances of finding this answer in the fewesttrials? An efficient way is to use information entropy. In this paper we will talk about the Wordle game and informationtheory using a project I built on the JavaScript programming language (https://shkodi.github.io/WordleSolver/), wherewe will see the advantages and disadvantages of using of entropy in measuring the information contained in each wordand selecting the optimal ones. We will consider other possibilities that help us improve the efficiency of the algorithm,as well as analyze different algorithms and their performance in relation to the use of entropy.

Authors

Institutions

Publication Details

Journal
Informatica
Published
2025-01-28
DOI
https://doi.org/10.31449/inf.v49i10.6301
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Usage of Information Entropy in Solving the World Game

Rrezart Prebreza, Besart Prebreza, Arianit Krypa, Shkodran Hasani
Informatica
Statistical Mechanics and Entropy
article

Usage of Information Entropy in Solving the World Game

Rrezart Prebreza, Besart Prebreza, Arianit Krypa, Shkodran Hasani
article en

Abstract

The wordle game is a game that has gained great popularity this year, with many players sharing their gameresults on social networks. A five-letter word is selected each day which players have six chances to find, where aftereach guess the player is given clues as to which letter is in the final answer or even in the correct position. What wouldbe the optimal word that would lead us to the final answer, and what are the chances of finding this answer in the fewesttrials? An efficient way is to use information entropy. In this paper we will talk about the Wordle game and informationtheory using a project I built on the JavaScript programming language (https://shkodi.github.io/WordleSolver/), wherewe will see the advantages and disadvantages of using of entropy in measuring the information contained in each wordand selecting the optimal ones. We will consider other possibilities that help us improve the efficiency of the algorithm,as well as analyze different algorithms and their performance in relation to the use of entropy.

InformaticaVol. 49(10)
Universal Engineering College (IN), Rochester Institute of Technology Kosovo (XK)
Openalex Percentile: Top 97%
Statistical Mechanics and Entropy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.