content: -- Alpha-Beta pruning in Haskell
  
  import Data.List (maximumBy, minimumBy)
  import Data.Ord (comparing)
  
  -- Define a type for representing game states
  type GameState = [Int]  -- Simplified, can represent anything
  
  -- Define a type for player, MAX and MIN represent two players
  data Player = MAX | MIN deriving (Eq, Show)
  
  -- Define the opposite player
  opponent :: Player -> Player
  opponent MAX = MIN
  opponent MIN = MAX
  
  -- Terminal test function, checks if a game state is terminal (e.g., win/loss/draw)
  isTerminal :: GameState -> Bool
  isTerminal gs = null gs || maximum gs == 0  -- Simplified, replace with actual game logic
  
  -- Evaluation function, evaluates a given game state for MAX player
  evaluate :: GameState -> Int
  evaluate gs = sum gs  -- Simplified, replace with actual heuristic evaluation
  
  -- Function to generate the next possible game states
  nextStates :: GameState -> [GameState]
  nextStates gs = [map (\x -> if x > 0 then x - 1 else 0) gs | _ <- gs]  -- Simplified, generate new states
  
  -- Alpha-Beta pruning algorithm
  alphaBeta :: Player -> GameState -> Int -> Int -> Int -> Int
  alphaBeta player state alpha beta depth
    | isTerminal state || depth == 0 = evaluate state  -- Return the evaluation of the terminal state
    | player == MAX = maximize state alpha beta depth
    | player == MIN = minimize state alpha beta depth
  
  -- Maximizing function for MAX player
  maximize :: GameState -> Int -> Int -> Int -> Int
  maximize state alpha beta depth = go alpha (nextStates state)
    where
      go a [] = a  -- No more moves
      go a (s:ss) =
        let score = alphaBeta MIN s a beta (depth - 1)
            newAlpha = max a score
        in if newAlpha >= beta then newAlpha else go newAlpha ss
  
  -- Minimizing function for MIN player
  minimize :: GameState -> Int -> Int -> Int -> Int
  minimize state alpha beta depth = go beta (nextStates state)
    where
      go b [] = b  -- No more moves
      go b (s:ss) =
        let score = alphaBeta MAX s alpha b (depth - 1)
            newBeta = min b score
        in if newBeta <= alpha then newBeta else go newBeta ss
  
  -- Function to find the best move for MAX player
  bestMove :: GameState -> GameState
  bestMove state = maximumBy (comparing (alphaBeta MIN)) (nextStates state)
  
  -- Example usage
  main :: IO ()
  main = do
    let initialState = [3, 5, 7]  -- Simplified game state
    let depth = 3
    print $ "Best move: " ++ show (bestMove initialState)
  