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va2_9.py
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va2_9.py
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##building a 2x2 environment
def reflex_agent(location,initial_state):
score=0
copy_env=[i.copy() for i in initial_state]
for i in range(1000):
score=score+get_score(copy_env)
if copy_env[location[0]][location[1]]==1:
copy_env[location[0]][location[1]]=0
if location[1]<2-1:
location[1]=location[1]+1
elif location[1]==2-1:
if location[0]<2-1:
location[0]=location[0]+1
location[1]=0
elif location[0]==2-1:
location[0]=0
location[1]=0
return score
#increments the score for every clean tile
def get_score(environment):
score=0
for r in range(2):
for c in range(2):
if environment[r][c]==0:
score=score+1
return score
#prints the environment
def print_env(environment):
for r in range(2):
for c in range(2):
print(environment[r][c],end=' ')
print()
##defining initial dirt configurations and agent location, for 2x2 environment there are 16 different possibilities
def define_status(initial_states,i,score_list):
for t in range(4):
agent_loc=loc_index[i]
score=reflex_agent(agent_loc,initial_states[t])
print("Agent location:",agent_loc)
print("Environment--->")
print_env(initial_states[t])
score_list.append(score)
print("Performance score:",score)
initial_states=[[[1,0],[0,0]],[[0,1],[0,0]],[[0,0],[1,0]],[[0,0],[0,1]]]
loc_index=[[0,0],[0,1],[1,0],[1,1]]
score_list=[]
total_score=0
define_status(initial_states,0,score_list)
print("--------------------------------\n")
define_status(initial_states,1,score_list)
print("--------------------------------\n")
define_status(initial_states,2,score_list)
print("--------------------------------\n")
define_status(initial_states,3,score_list)
print("--------------------------------\n")
for score in score_list:
total_score=total_score+score
print("Overall Average Score:",total_score/16)