I’ve taken six guesses four times and eight twice. It’s so very tempting to solve it, finding the quickest path, or at least a local maximum if brute-forcing the entire thing turns out to be too computationally prohibitive.
I would bet that it has already been soft-solved by kthejoker2 upthread who got it in 5 guesses. I can't conceive of 3 wrong words being enough to narrow it down to a single possibility. Soft-solved in that he doesn't necessarily have a proof this is the optimal solution, nor an enumeration of all optimal solutions, nor the optimal play from any game state - so there's still plenty to be explored here I wonder if the…
Adversarial Wordle
41–50 of 72 posts
Re: Adversarial Wordle
#42Somehow, I always get a large tropical seabird... S T E R N (0 green, 0 yellow) P L A I D (0 green, 0 yellow) M U C K Y (1 green, 0 yellow) G O R G E (1 green, 0 yellow) W O O F Y (3 green, 0 yellow) B O O Z Y (4 green, 0 yellow) B O O B Y (5 green, 0 yellow) You guessed successfully in 7 guesses! S T E R N (0 green, 0 yellow) P L A I D (0 green, 0 yellow) B O U G H (2 green, 0 yellow) W O O Z Y (3 green, 0 yellow) B…
Hmmmm....for my first go, I got T R I A D (0 green, 0 yellow) H O N E S (0 green, 0 yellow) C L U M P (0 green, 2 yellow) B U L K Y (3 green, 0 yellow) F U L L Y (4 green, 0 yellow) G U L L Y (5 green, 0 yellow) Looking at the similarities, I'm wondering if the adversarial nature will generally lead to higher-than-naively-expected frequencies of: Words with 'y', as people will tend to 'eliminate' the common vowels ea…
Re: Adversarial Wordle
#43Re: Adversarial Wordle
#44Earlier quoted context omitted.
Are you using the same dictionary? I used the same technique, and got: NARES DOILY TOUCH And then VOUCH / COUCH / POUCH / GOUCH / MOUCH.
It's very possible we don't have the same dictionary! I have 8938 words. I confirmed that NARES, DOILY, and TOUCH are in my dictionary. My analysis shows that SERAI's worst-case is 461 words and NARES would have 578. I found my code a bit difficult to debug at the end because it's still halfway decent at playing wordle. So, I fully admit I might not be doing it right! But one thing I also did was allow it to pick a w…
https://qntm.org/files/wordle/words.js
These are most likely the same words in the implementation at https://www.powerlanguage.co.uk/wordle/ based on
["cigar","rebut","sissy","humph","awake","blush","focal","evade",
showing up in the minified js (which are the first 8 words in possibleWords in order).Re: Adversarial Wordle
#45I made my own adversarial wordle just now, not realizing this one already existed: https://swag.github.io/evil-wordle
Re: Adversarial Wordle
#46Re: Adversarial Wordle
#47With a greedy solver (minimize word pool for the next step), I got ARISE (168) -> BLUDY (13) -> COMET (2) -> NAVAL (1) -> CHUNK. I think five steps is as good as it gets, as 5*5 is about the size of the alphabet. Edit: I stand corrected. YEARN (216) -> FLOUT (12) -> CHAMP (1) -> HUMPH.
Re: Adversarial Wordle
#48This is great! A few days ago, I wrote a Wordle solver in C. It selects a word to minimize the number of words assuming the worst-case green/yellow. So, it sounds like these two are in direct conflict. My solver is deterministic, and it looks like the adversarial is too, so they always play the same game: S E R A I (0 green, 0 yellow, 429 words remain) M O L D Y (1 green, 0 yellow, 35 words remain) C E N T U (0 greem…
ARISE
MOLDY
COUNT
VOUCH
POUCH
Re: Adversarial Wordle
#49It usually solves this in under 6 guesses. The guessing could be improved; at the moment it's random, but it could select for words with non-repeating letters to narrow down the search space faster.
Re: Adversarial Wordle
#50Earlier quoted context omitted.
It's very possible we don't have the same dictionary! I have 8938 words. I confirmed that NARES, DOILY, and TOUCH are in my dictionary. My analysis shows that SERAI's worst-case is 461 words and NARES would have 578. I found my code a bit difficult to debug at the end because it's still halfway decent at playing wordle. So, I fully admit I might not be doing it right! But one thing I also did was allow it to pick a w…
It's worth noting that there are two dictionaries used in this implementation: "possibleWords" (from which the solution can be drawn) and "impossibleWords" (other words that are valid guesses). https://qntm.org/files/wordle/words.js These are most likely the same words in the implementation at https://www.powerlanguage.co.uk/wordle/ based on ["cigar","rebut","sissy","humph","awake","blush","focal","evade", showing up…