📄 blackjack.m
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function blackjack(N)% BLACKJACK. Use random numbers in Monte Carlo simulation.% Play the game of Blackjack, either one hand, or thousands of hands,% at a time, and display payoff statistics.%% In Blackjack, face cards count 10 points, aces count one or 11 points,% all other cards count their face value. The objective is to reach,% but not exceed, 21 points. If you go over 21, or "bust", before the% dealer, you lose your bet on that hand. If you have 21 on the first% two cards, and the dealer does not, this is "blackjack" and is worth% 1.5 times the bet. If your first two cards are a pair, you may "split"% the pair by doubling the bet and use the two cards to start two% independent hands. You may "double down" after seeing the first two% cards by doubling the bet and receiving just one more card.% "Hit" and "draw" mean take another card. "Stand" means stop drawing.% "Push" means the two hands have the same total.%% The first mathematical analysis of Blackjack was published in 1956% by Baldwin, Cantey, Maisel and McDermott. Their basic strategy, which% is also described in many more recent books, makes Blackjack very% close to a fair game. With basic strategy, the expected win or loss% per hand is less than one percent of the bet. The key idea is to% avoid going bust before the dealer. The dealer must play a fixed% strategy, hitting on 16 or less and standing on 17 or more. Since% almost one-third of the cards are worth 10 points, you can compare% your hand with the dealer's under the assumption that the dealer's% hole card is a 10. If the dealer's up card is a six or less, she% must draw. Consequently, the strategy has you stand on any total over% 11 when the dealder is showing a six or less. Split aces and split 8's.% Do not split anything else. Double down with 11, or with 10 if the% dealer is showing a six or less. The complete basic strategy is% defined by three arrays, HARD, SOFT and SPLIT, in the code.%% A more elaborate strategy, called "card counting", can provide a% definite mathematical advantage. Card counting players keep track% of the cards that have appeared in previous hands, and use that% information to alter both the bet and the play as the deck becomes% depleated. Our simulation does not involve card counting.%% BLACKJACK(N) plays N hands with an initial bet of $10 for each hand.% "Play" mode, N = 1, indicates the basic strategy with color, but allows% you to make other choices. "Simulate" mode, N > 1, plays N hands% using basic strategy and displays the evolving payoff results.% One graph shows the total return accumulated over the duration of the% simulation. Another graph shows the observed probabilities of the% ten possible payoffs for each hand. These payoffs include zero for a% push, win $15 for a blackjack, win or lose $10 on a hand that has not been% split or doubled, win or lose $20 on a hand that has been split or doubled,% and win or lose $30 or $40 on hands that are after doubled after a split.% The $30 and $40 payoffs occur rarely (and may not be allowed at some% casinos), but are important in determining the expected return from the% basic strategy. The second graph also displays with 0.xxxx +/- 0.xxxx% the expected fraction of the bet that is won or lost each hand, together% with its confidence interval. Note that the expected return is usually% negative, but within the confidence interval. The total return in any% session with less than a few million hands is determined more by the luck% of the cards than by the expected return.%% From "Numerical Computing with MATLAB"% Cleve Moler% The MathWorks, Inc.% See http://www.mathworks.com/moler% March 1, 2004. Copyright 2004.clfshgset(gcf,'name','Blackjack','menu','none','numbertitle','off', ... 'double','on','userdata',[])rand('state',sum(100*clock))if nargin == 0 N = 10000; kase = 1;else if ischar(N) N = str2double(N); end bj(N) kase = 2;endwhile kase > 0 kase = bjbuttonclick(kase); switch kase case 0, break % Close case 1, bj(1) % Play one hand case 2, bj(N) % Simulate endendclose(gcf)% ------------------------function bj(N)% Blackjack, main program.% Play N hands.% If N == 1, show detail and allow interaction. S = get(gcf,'userdata');n = length(S);bet = 10;detail = N==1;% Set up graphics if detail delete(get(gca,'children')) delete(findobj(gcf,'type','axes')) axes('pos',[0 0 1 1]) axis([-5 5 -5 5]) axis off bjbuttons('detail'); stake = sum(S); if stake >= 0, sig = '+'; else, sig = '-'; end str = sprintf('%6.0f hands, $ %c%d',n,sig,abs(stake)); titl = text(-2.5,4.5,str,'fontsize',20); n0 = n+1; n1 = n0;else bjbuttons('off'); payoffs = [-4:1 1.5 2:4]*bet; % Possible payoffs counts = hist(S,payoffs); n0 = n+1; n1 = ceil((n0)/N)*N; subplot(2,1,2) h = plot(0,0);endS = [S zeros(1,n1-n0+1)];for n = n0:n1 bet1 = bet; P = deal; % Player's hand D = deal; % Dealer's hand P = [P deal]; D = [D -deal]; % Hide dealer's hole card % Split pairs split = mod(P(1),13)==mod(P(2),13); if split if detail show('Player',P) show('Dealer',D) split = pair(value(P(1)),value(D(1))); % 0 = Keep pair % 1 = Split pair split = bjbuttonclick('split',split+1); else split = pair(value(P(1)),value(D(1))); end end if split P2 = P(2); if detail, show('Split',P2); end P = [P(1) deal]; bet2 = bet1; end % Play player's hand(s) if detail [P,bet1] = playhand('Player',P,D,bet1); show('Player',P) if split P2 = [P2 deal]; show('Split',P2) [P2,bet2] = playhand('Split',P2,D,bet2); end else [P,bet1] = playhand('',P,D,bet1); if split P2 = [P2 deal]; [P2,bet2] = playhand('',P2,D,bet2); end end % Play dealer's hand D(2) = -D(2); % Reveal dealer's hole card while value(D) <= 16 D = [D deal]; end % Payoff if detail show('Dealer',D) show('Player',P) s = payoff('Player',P,D,split,bet1); if split show('Split',P2) s = s + payoff('Split',P2,D,split,bet2); end else s = payoff('',P,D,split,bet1); if split s = s + payoff('',P2,D,split,bet2); end end S(n) = s; if detail stake = stake + s; if stake >= 0, sig = '+'; else, sig = '-'; end str = sprintf('%6.0f hands, $ %c%d',n,sig,abs(stake)); set(titl,'string',str) end chunk = min(2000,N); if ~detail & mod(n,chunk) == 0 Schunk = S(n-chunk+1:n); subplot(2,1,2) ydata = get(h,'ydata'); ydata = ydata(end) + cumsum(Schunk); ylim = get(gca,'ylim'); if max(ydata) > ylim(1) | min(ydata) < ylim(2) ydata = cumsum(S(1:n)); h = plot(1:n,ydata,'erasemode','none'); line([1 n1],[0 0],'color','black') ylim = 1000*[floor(min(min(ydata)/1000,-1)) ... ceil(max(max(ydata)/1000,1))]; axis([1 n1 ylim]) else set(h,'xdata',n-chunk+1:n,'ydata',ydata); end subplot(2,1,1) [kounts,x] = hist(S(n-chunk+1:n),payoffs); counts = counts + kounts; p = counts/n; bar(x,p) axis([-4.5*bet 4.5*bet 0 .45]) stake = ydata(end); if stake >= 0, sig = '+'; else, sig = '-'; end str = sprintf('%c%d',sig,abs(stake)); if abs(stake) < 1000, str = [' ' str]; end if abs(stake) < 100, str = [' ' str]; end if abs(stake) < 10, str = [' ' str]; end title(sprintf('%6.0f hands, $ %s',n,str)) set(gca,'xtick',payoffs); for k = 1:length(payoffs) if payoffs(k)==15, y = -.12; else, y = -.08; end text(payoffs(k)-6.5,y,sprintf('%9.4f',p(k))); end% Mean and confidence interval, relative to unit bet r = payoffs/bet; mu = p*r'; crit = 1.96; % norminv(.975) rho = crit*sqrt((p*(r.^2)'-mu^2)/n); pm = char(177); text(20,.3,sprintf('%6.4f %c %6.4f',mu,pm,rho)); drawnow endendset(gcf,'userdata',S);% ------------------------function c = deal% Deal one cardpersistent deck ncardsif isempty(deck) | ncards < 6 % Four decks deck = [1:52 1:52 1:52 1:52]; % Shuffle ncards = length(deck); deck = deck(randperm(ncards));endc = deck(ncards);ncards = ncards - 1;% ------------------------function v = valuehard(X)% Evaluate handX = mod(X-1,13)+1;X = min(X,10);v = sum(X);% ------------------------function v = value(X)% Evaluate handX = mod(X-1,13)+1;X = min(X,10);v = sum(X);% Promote soft aceif any(X==1) & v<=11 v = v + 10;end% ------------------------
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