为了好玩,我在Python做了一个模拟 “monty Hall” > “mony Hall problem” “monty Hall problem” 。后来,我与Lua进行了实验,决定在Lua再写一次,看看它如何比较。这是一个相当有趣的经历,尽管程序看起来非常相似(Lua版本略短 ) 。 最近,我开始与 CL 进行实验, 并想再次做同样的事情。 然而, 当我运行它时, 它没有如预期的那样。 出于某种原因, 不稳定的玩家( 他应该获得66%的获胜机会) 几乎和天球手一样得分(50%的赢机会 ) 。
有人能给我一个提示吗?这不是一个家庭作业或类似的东西,只是我第一次尝试与 CL 一起写一个更大的程序。除了上面描述的问题的提示外,我还欢迎就如何改进我的风格提出建议。我想它还是相当漂亮的Python-sish (它或多或少是一个直接的翻译 ) 。
(defun choose-one (l)
"Ramdomly chooses one element of the given list"
(nth (random (length l)) l))
(defun remove-one (l)
"Randomly removes one element of the given list"
(remove (choose-one l) l))
(defun naive-player (initial-choice possible-choices)
"The naive player randomly picks one choice. Should have a 50% chance to win."
initial-choice ;keep compiler happy
(choose-one possible-choices))
(defun stubborn-player (initial-choice possible-choices)
"The stubborn player sticks with his initial choice. Should have a 33% chance to win."
possible-choices ;keep compiler happy
initial-choice)
(defun erratic-player (initial-choice possible-choices)
"The erratic player will always change his choice. Should have a 66% chance to win."
(choose-one (remove initial-choice possible-choices)))
(defun host-offer (prize possible-choices)
"The host reveals one wrong choice."
(let ((remaining (remove prize possible-choices)))
(remove (choose-one remaining) possible-choices)))
(defun one-game (playerfn choices)
"Simulates a single game with the given player. Evaluates to T if the player won."
(let ((prize (choose-one choices))
(player-choice (choose-one choices)))
(eq (funcall playerfn player-choice (host-offer prize choices)) prize)))
(defun multiple-games (num-games)
"Simulates the given number of games with all players. Evaluates to a result list."
(let ((choices (door_a door_b door_c))
(naive-score 0)
(stubborn-score 0)
(erratic-score 0))
;(progn
(dotimes (i num-games)
;(progn
(if (one-game # naive-player choices)
(incf naive-score))
(if (one-game # stubborn-player choices)
(incf stubborn-score))
(if (one-game # erratic-player choices)
(incf erratic-score)));)
(list
(list naive-player naive-score)
(list stubborn-player stubborn-score)
(list erratic-player erratic-score))));)
;; Run simulation and display results
(defparameter *num-games* 10000)
(format *standard-output* "--- Monty Hall ---~%")
(format *standard-output* "Simulating ~D games...~%" *num-games*)
(let ((result (multiple-games *num-games*)))
(format *standard-output* "~{~{~A score: ~D~}~%~}" result))
产出(例如):
--- Monty Hall ---
Simulating 10000 games...
NAIVE-PLAYER score: 5014
STUBBORN-PLAYER score: 3333
ERRATIC-PLAYER score: 4968