#myMidca.append_module("Interpret", guide.UserGoalInput())
myMidca.append_module("Eval", evaluate.SimpleEval())
myMidca.append_module("Intend", intend.SimpleIntend())
myMidca.append_module("Plan", planning.JSHOPPlanner(util.jshop_state_from_world,
util.jshop_tasks_from_goals,
JSHOP_DOMAIN_FILE,
JSHOP_STATE_FILE
))
myMidca.append_module("Act", act.SimpleAct())
myMidca.insert_module('Simulate', simulator.ArsonSimulator(arsonChance = 0.9, arsonStart = 10), 1)
myMidca.insert_module('Simulate', simulator.FireReset(), 0)
myMidca.insert_module('Interpret', guide.TFStack(), 1)
myMidca.insert_module('Interpret', guide.TFFire(), 2)
myMidca.insert_module('Interpret', guide.ReactiveApprehend(), 3)
myMidca.insert_module('Eval', evaluate.Scorer(), 1) # this needs to be a 1 so that Scorer happens AFTER SimpleEval
#tells the PhaseManager to copy and store MIDCA states so they can be accessed later.
myMidca.storeHistory = True
myMidca.initGoalGraph(cmpFunc = GOAL_GRAPH_CMP_FUNC)
myMidca.init()
myMidca.run()
'''
The code below would print out MIDCA's goal set for the first 20 phases of the run above. Note that any memory values can be accessed in this way, assuming that the storeHistory value was set to True during the run. This code is left as an example, but commented out because it will throw an error if fewer than 20 cycles were simulated.
for i in range(20):
print myMidca.history[i].mem.get(myMidca.midca.mem.CURRENT_GOALS)
'''
def createMIDCAObj(self):
# in this demo, always keep extinguish to false
extinguish = False
thisDir = os.path.dirname(
os.path.abspath(inspect.getfile(inspect.currentframe())))
MIDCA_ROOT = thisDir + "/../"
domainFile = MIDCA_ROOT + "worldsim/domains/arsonist.sim"
stateFile = MIDCA_ROOT + "worldsim/states/defstate.sim"
self.world = domainread.load_domain(domainFile)
stateread.apply_state_file(self.world, stateFile)
# creates a PhaseManager object, which wraps a MIDCA object
myMidca = base.PhaseManager(self.world,
display=asqiiDisplay,
verbose=4)
#asqiiDisplay(world)
# add phases by name
for phase in [
"Simulate", "Perceive", "Interpret", "Eval", "Intend", "Plan",
"Act"
]:
myMidca.append_phase(phase)
# add the modules which instantiate basic blocksworld operation
myMidca.append_module("Simulate", simulator.MidcaActionSimulator())
myMidca.append_module("Simulate", simulator.ASCIIWorldViewer())
myMidca.append_module("Perceive", perceive.PerfectObserver())
myMidca.append_module("Interpret", note.ADistanceAnomalyNoter())
# need to make sure to disable all user input modules #myMidca.append_module("Interpret", guide.UserGoalInput())
myMidca.append_module("Eval", evaluate.SimpleEval())
myMidca.append_module("Intend", intend.SimpleIntend())
myMidca.append_module("Plan", planning.PyHopPlanner(extinguish))
myMidca.append_module("Act", act.SimpleAct())
myMidca.insert_module(
'Simulate',
simulator.ArsonSimulator(arsonChance=self.arsonChanceArg,
arsonStart=10), 1)
myMidca.insert_module('Simulate', simulator.FireReset(), 0)
myMidca.insert_module('Interpret', guide.TFStack(), 1)
if self.usingTFTreeFire:
myMidca.insert_module('Interpret', guide.TFFire(), 2)
if self.usingSimulatedMA:
myMidca.insert_module('Interpret', guide.ReactiveApprehend(), 3)
myMidca.insert_module(
'Eval', evaluate.Scorer(),
1) # this needs to be a 1 so that Scorer happens AFTER SimpleEval
def preferApprehend(goal1, goal2):
if 'predicate' not in goal1 or 'predicate' not in goal2:
return 0
elif goal1['predicate'] == 'free' and goal2['predicate'] != 'free':
return -1
elif goal1['predicate'] != 'free' and goal2['predicate'] == 'free':
return 1
elif goal1['predicate'] == 'onfire' and goal2[
'predicate'] != 'onfire':
return -1
elif goal1['predicate'] != 'onfire' and goal2[
'predicate'] == 'onfire':
return 1
return 0
# tells the PhaseManager to copy and store MIDCA states so they can be accessed later.
myMidca.storeHistory = False
myMidca.initGoalGraph(cmpFunc=preferApprehend)
## DO NOT DO THIS: experiment.py will do this automatically: myMidca.init()
print("Created MIDCA " + str(id(myMidca)) + " w/ arsonchance=" +
str(self.arsonChanceArg) + ", usingTFTreeFire=" +
str(self.usingTFTreeFire) + ",usingSimMA=" +
str(self.usingSimulatedMA))
self.myMidca = myMidca
self.initialized = True
]
myMidca = predicateworld.UserGoalsMidca(
domainFile=MIDCA_ROOT + "domains/blocksworld/domains/arsonist.sim",
stateFile=MIDCA_ROOT + "domains/blocksworld/states/defstate.sim",
display=DISPLAY_FUNC,
argsPyHopPlanner=argsPyHopPlanner)
myMidca.append_module('Perceive', perceive.MAReporter(writePort))
myMidca.insert_module('Simulate',
simulator.ArsonSimulator(arsonChance=0.9, arsonStart=2),
1)
myMidca.insert_module('Simulate', simulator.FireReset(), 0)
myMidca.insert_module('Interpret', guide.TFStack(), 1)
myMidca.insert_module('Interpret', guide.TFFire(), 2)
myMidca.insert_module('Interpret', assess.MAQuery(readPort), 3)
myMidca.insert_module('Eval', evaluate.Scorer(), 0)
def preferApprehend(goal1, goal2):
if 'predicate' not in goal1 or 'predicate' not in goal2:
return 0
elif goal1['predicate'] == 'free' and goal2['predicate'] != 'free':
return -1
elif goal1['predicate'] != 'free' and goal2['predicate'] == 'free':
return 1
elif goal1['predicate'] == 'onfire' and goal2['predicate'] != 'onfire':
return -1
elif goal1['predicate'] != 'onfire' and goal2['predicate'] == 'onfire':
return 1
return 0
myMidca.append_module(
"Plan",
planning.PyHopPlanner(util.pyhop_state_from_world,
util.pyhop_tasks_from_goals, DECLARE_METHODS_FUNC,
DECLARE_OPERATORS_FUNC))
myMidca.append_module("Act", act.SimpleAct())
myMidca.insert_module('Simulate',
simulator.ArsonSimulator(arsonChance=0.9, arsonStart=10),
1)
myMidca.insert_module('Simulate', simulator.FireReset(), 0)
myMidca.insert_module('Interpret', guide.TFStack(), 1)
myMidca.insert_module('Interpret', guide.TFFire(), 2)
myMidca.insert_module('Interpret', guide.ReactiveApprehend(), 3)
myMidca.insert_module(
'Eval', evaluate.Scorer(),
1) # this needs to be a 1 so that Scorer happens AFTER SimpleEval
#tells the PhaseManager to copy and store MIDCA states so they can be accessed later.
myMidca.storeHistory = True
myMidca.initGoalGraph(cmpFunc=GOAL_GRAPH_CMP_FUNC)
# pienso que hay que revisar estos metodos que son los encargados de manejar cada fase que esta corriendo en midca y ejecutarlas...
myMidca.init()
myMidca.run()
'''
The code below would print out MIDCA's goal set for the first 20 phases of the run above. Note that any memory values can be accessed in this way, assuming that the storeHistory value was set to True during the run. This code is left as an example, but commented out because it will throw an error if fewer than 20 cycles were simulated.
for i in range(20):
print myMidca.history[i].mem.get(myMidca.midca.mem.CURRENT_GOALS)
'''