On Optimal Strategies for Wordle and General Guessing Games
Cunanan, Michael, Thielscher, Michael
–arXiv.org Artificial Intelligence
The recent popularity of Wordle has revived interest in guessing games. We develop a general method for finding optimal strategies for guessing games while avoiding an exhaustive search. Our main contributions are several theorems that build towards a general theory to prove the optimality of a strategy for a guessing game. This work is developed to apply to any guessing game, but we use Wordle as an example to present concrete results.
arXiv.org Artificial Intelligence
May-15-2023
- Country:
- Africa > Middle East
- Egypt (0.04)
- Asia > Japan
- Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
- Europe > Germany
- Baden-Württemberg > Karlsruhe Region > Karlsruhe (0.04)
- North America > United States
- New York (0.04)
- Oceania > Australia
- New South Wales (0.04)
- Africa > Middle East
- Genre:
- Research Report (0.82)
- Industry:
- Leisure & Entertainment > Games > Computer Games (1.00)
- Technology: