Created
March 24, 2023 06:56
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ChatGPT Plugins Monty Fall Monte Carlo
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{ | |
"input": " | |
(* Define a function to simulate one round of the game *) | |
simulateRound[] := Module[{doors, carPosition, initialChoice, revealedDoor, switchChoice}, | |
doors = {\"Goat\", \"Goat\", \"Goat\"}; | |
carPosition = RandomInteger[{1, 3}]; | |
doors[[carPosition]] = \"Car\"; | |
initialChoice = RandomInteger[{1, 3}]; | |
revealedDoor = RandomChoice[DeleteCases[Range[3], {initialChoice, carPosition}]]; | |
switchChoice = DeleteCases[Range[3], {initialChoice, revealedDoor}][[1]]; | |
{doors[[initialChoice]], doors[[switchChoice]]} | |
]; | |
(* Simulate 10000 rounds of the game *) | |
numRounds = 10000; | |
results = Table[simulateRound[], {numRounds}]; | |
(* Calculate the win rates for staying and switching *) | |
stayWinRate = N[Count[results, {\"Car\", _}]/numRounds]; | |
switchWinRate = N[Count[results, {_, \"Car\"}]/numRounds]; | |
{stayWinRate, switchWinRate} | |
" | |
} |
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The model appears to consistently produce code that uses
DeleteCases[Range[3], {initialChoice, carPosition}]
incorrectly. I believe it should beDeleteCases[Range[3], initialChoice|carPosition]
. The original code does not delete any of the cases.