python-ai-games

Games against artificial intelligence using Python

#! /usr/bin/python

author = "suvasama" date = "$Jan 11, 2018 11:31:04 AM$"

import random

AI: machine player

class RPSai: def init(self): self.moves = ["r", "p", "s"]; self.weights = [0.296, 0.354, 0.35]; self.firstMove = []; self.alpha = 1/8; # parameter that determines the weight of # previous action that ai used to adjust its # expectation of the player's strategy

def memory(self, playersMove, aisMove,i):
    if i == 0:
        self.firstMove.append(playersMove)
    if playersMove == "r":
        if aisMove == "s":
                self.weights[0] = max(min(self.weights[0] - self.alpha/2,1),0); 
                self.weights[1] = max(min(self.weights[1] + self.alpha,1),0);
                self.weights[2] = max(min(self.weights[2] - self.alpha/2,1),0);
        else:
                self.weights[0] = max(min(self.weights[0] + self.alpha/2,1),0); 
                self.weights[1] = max(min(self.weights[1] - self.alpha,1),0);
                self.weights[2] = max(min(self.weights[2] + self.alpha/2,1),0);
    elif playersMove == "p":
        if aisMove == "r":
                self.weights[0] = max(min(self.weights[0] - self.alpha/2,1),0);
                self.weights[1] = max(min(self.weights[1] - self.alpha/2,1),0);
                self.weights[2] = max(min(self.weights[2] + self.alpha,1),0);
        else:
                self.weights[0] = max(min(self.weights[0] + self.alpha/2,1),0); 
                self.weights[1] = max(min(self.weights[1] + self.alpha/2,1),0);
                self.weights[2] = max(min(self.weights[2] - self.alpha,1),0);
    else:
        if aisMove == "p":
                self.weights[0] = max(min(self.weights[0] + self.alpha,1),0); 
                self.weights[1] = max(min(self.weights[1] - self.alpha/2,1),0);
                self.weights[2] = max(min(self.weights[2] - self.alpha/2,1),0);
        else:
                self.weights[0] = max(min(self.weights[0] - self.alpha,1),0); 
                self.weights[1] = max(min(self.weights[1] + self.alpha/2,1),0);
                self.weights[2] = max(min(self.weights[2] + self.alpha/2,1),0);

# AI's move
def makeMove(self,i):
    if i == 0:
        if self.firstMove == "r":
            return random.choice(['r', 's'])
        elif self.firstMove == "p":
            return random.choice(['r', 'p'])
        else:
            return random.choice(['r', 'p'])
    elif i < 10:
        # Following code generates a random decision using the weights 
        # computed by the previous function
        j = random.random();
        if j <= self.weights[0]:
            j = 0;
        elif j <= self.weights[0] + self.weights[1]:
            j = 1;
        else:
            j = 2;
    else:
        j = random.randint(0,len(self.moves) - 1)
    return self.moves[j];

REFEREE: determines the winner

class RPSReferee: def init(self): self.aiWins = 0; self.plWins = 0;

def whosWinner(self, playersMove, aisMove):
    if playersMove == aisMove:
        print "Break even!"
    elif (
    (playersMove == "r" and aisMove == "s") or \
    (playersMove == "p" and aisMove == "r") or \
    (playersMove == "s" and aisMove == "p")
    ):
        print "You win!"
        self.plWins = self.plWins + 1;
    else:
        print "Machine player wins!"
        self.aiWins = self.aiWins + 1;
        
def printStats(self):
    print "\nStatistics:\nYou won " + str(self.plWins) + " times\n" \
        "Machine player won " + str(self.aiWins) + " times"

def notaMove(playersMove): moves = ["r", "p", "s"] if playersMove not in moves: return True; return False;

ai = RPSai(); referee = RPSReferee();

rounds = input("How many rounds? ");

i = 0; while i < rounds:

# Ask Player make a move
playersMove = raw_input("Make a move (r, p or s): ")
if notaMove(playersMove):
    continue;

# Machine player makes a move
aisMove = ai.makeMove(i)
print "Machine player's move: " + aisMove
ai.memory(playersMove, aisMove,i)
referee.whosWinner(playersMove, aisMove)

# Counter for rounds that have been played
i += 1;

referee.printStats()