The following code is not giving any output.
The following code is not giving any output. Could you explain why it is not giving output and how should it be changed in a way that it gives output?
loc_A, loc_B = (0, 0), (1, 0) # The two locations for the Vacuum world
def RandomVacuumAgent():
"""Randomly choose one of the actions from the vacuum environment.
>>> agent = RandomVacuumAgent()
>>> environment = TrivialVacuumEnvironment()
>>> environment.add_thing(agent)
>>> environment.run()
>>> environment.status == {(1,0):'Clean' , (0,0) : 'Clean'}
True
"""
return Agent(RandomAgentProgram(['Right', 'Left', 'Suck', 'NoOp']))
def TableDrivenVacuumAgent():
"""Tabular approach towards vacuum world as mentioned in [Figure 2.3]
>>> agent = TableDrivenVacuumAgent()
>>> environment = TrivialVacuumEnvironment()
>>> environment.add_thing(agent)
>>> environment.run()
>>> environment.status == {(1,0):'Clean' , (0,0) : 'Clean'}
True
"""
table = {((loc_A, 'Clean'),): 'Right',
((loc_A, 'Dirty'),): 'Suck',
((loc_B, 'Clean'),): 'Left',
((loc_B, 'Dirty'),): 'Suck',
((loc_A, 'Dirty'), (loc_A, 'Clean')): 'Right',
((loc_A, 'Clean'), (loc_B, 'Dirty')): 'Suck',
((loc_B, 'Clean'), (loc_A, 'Dirty')): 'Suck',
((loc_B, 'Dirty'), (loc_B, 'Clean')): 'Left',
((loc_A, 'Dirty'), (loc_A, 'Clean'), (loc_B, 'Dirty')): 'Suck',
((loc_B, 'Dirty'), (loc_B, 'Clean'), (loc_A, 'Dirty')): 'Suck'}
return Agent(TableDrivenAgentProgram(table))
def ReflexVacuumAgent():
"""
[Figure 2.8]
A reflex agent for the two-state vacuum environment.
>>> agent = ReflexVacuumAgent()
>>> environment = TrivialVacuumEnvironment()
>>> environment.add_thing(agent)
>>> environment.run()
>>> environment.status == {(1,0):'Clean' , (0,0) : 'Clean'}
True
"""
def program(percept):
location, status = percept
if status == 'Dirty':
return 'Suck'
elif location == loc_A:
return 'Right'
elif location == loc_B:
return 'Left'
return Agent(program)
def ModelBasedVacuumAgent():
"""An agent that keeps track of what locations are clean or dirty.
>>> agent = ModelBasedVacuumAgent()
>>> environment = TrivialVacuumEnvironment()
>>> environment.add_thing(agent)
>>> environment.run()
>>> environment.status == {(1,0):'Clean' , (0,0) : 'Clean'}
True
"""
model = {loc_A: None, loc_B: None}
def program(percept):
"""Same as ReflexVacuumAgent, except if everything is clean, do NoOp."""
location, status = percept
model[location] = status # Update the model here
if model[loc_A] == model[loc_B] == 'Clean':
return 'NoOp'
elif status == 'Dirty':
return 'Suck'
elif location == loc_A:
return 'Right'
elif location == loc_B:
return 'Left'
return Agent(program)
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