* minimax.py

minimax algorithm is used for game like tic tac toe. It traces the path and selects the optimal move.

* minimax.py

Minimax is used in decision making and game theory to find the optimal move for a player, when your opponent also plays optimally. It is widely used in games like Tic-Tac-Toe, Chess.

* Delete minimax.py

* Update minimax.py

* Minimax is a backtracking algorithm that is used in game theory to find the optimal move for a player, assuming that your opponent also plays optimally
This commit is contained in:
Aditi Agarwal 2019-07-06 21:59:58 -07:00 committed by cclauss
parent 26df2aab1e
commit 4ff2a9dd4e

28
backtracking/minimax.py Normal file
View File

@ -0,0 +1,28 @@
import math
''' Minimax helps to achieve maximum score in a game by checking all possible moves
depth is current depth in game tree.
nodeIndex is index of current node in scores[].
if move is of maximizer return true else false
leaves of game tree is stored in scores[]
height is maximum height of Game tree
'''
def minimax (Depth, nodeIndex, isMax, scores, height):
if Depth == height:
return scores[nodeIndex]
if isMax:
return (max(minimax(Depth + 1, nodeIndex * 2, False, scores, height),
minimax(Depth + 1, nodeIndex * 2 + 1, False, scores, height)))
return (min(minimax(Depth + 1, nodeIndex * 2, True, scores, height),
minimax(Depth + 1, nodeIndex * 2 + 1, True, scores, height)))
if __name__ == "__main__":
scores = [90, 23, 6, 33, 21, 65, 123, 34423]
height = math.log(len(scores), 2)
print("Optimal value : ", end = "")
print(minimax(0, 0, True, scores, height))