Sunday, June 19, 2016

Artificial Intelligence using python

The below code is to reach a goal in a board game with robot at position with value 'r' and goal with value 'g' in the row* column board.

Below are the conventions for the code to solve the problem.


m - size of grid
grid - position of the board(in row * col)
g - goal position
r - robot current postion in the board


#!/bin/python
def find_m_position(grid):
for row in range(m):
for col in range(m):
if grid[row][col] == 'r':
return (row,col)

def find_p_postion(grid):
for row in range(m):
for col in range(m):
if grid[row][col] == 'g':
return (row, col)


def PathtoGoal(n,grid):
#print all the moves here
#pass
row_m, col_m = find_m_position(grid)
row_p, col_p = find_p_postion(grid)

while((row_m != row_p) and (col_m != col_p)):
diff_row = row_m - row_p
diff_col = col_m - col_p
if(diff_row < 0):
print "DOWN"
row_m = row_m + 1


else:
print "UP"
row_m = row_m - 1

if(diff_col > 0):
print "LEFT"
col_m = col_m - 1
else:
print "RIGHT"
col_m = col_m + 1


return None

m = input()

grid = []
for i in xrange(0, m):
grid.append(raw_input().strip())

#print grid

PathtoGoal(m,grid)



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